🚨 Oct 6 is the last cohort we are teaching in 2025. Seats are limited. 🚨 All students in this course get:---- 🗄️ Lifetime access to all materials and recordings!- 🤖 10 months of unlimited access to our new AI Eval Assistant (more info towards bottom of this page).- 🧑‍🏫 9+ hours of office hours to maximize the value of live interaction. - 🏫 Lifetime Access to a Discord community with 1k+ students and instructors.- ♾️: Unlimited retake flexibility (Oct 2025 Cohort Only): Join future cohorts as many times as you would like. This is a flipped classroom setting. All lectures are professionally edited and recorded, with an emphasis on live office hours and student interaction. Do you catch yourself asking any of the following questions while building AI applications? 1. How do I test applications when the outputs are stochastic and require subjective judgements? 2. If I change the prompt, how do I know I'm not breaking something else? 3. Where should I focus my engineering efforts? Do I need to test everything? 4. What if I have no data or customers, where do I start? 5. What metrics should I track? What tools should I use? Which models are best? 6. Can I automate testing and evaluation? If so, how do I trust it? If you aren't sure about the answers to these questions, this course is for you. This is a hands-on course for engineers and technical PMs. Ideal for those who are comfortable coding or vibe coding. ---WHAT TO EXPECT This course will provide you with hands-on experience. Get ready to sweat through exercises, code and data! We will meet two times a week for four weeks, with generous office hours (read below for course schedule). We will also hold office hours and host Discord community where you can communicate with us and each other. In return, you will be rewarded with skills that will set you apart from the competition by a wide margin. (see testimonials below). All sessions will be recorded and available to students asynchronously.--- COURSE CONTENT Lesson 1: Fundamentals &amp; Lifecycle LLM Application Evaluation- Why evaluation matters for LLM applications - business impact and risk mitigation- Challenges unique to evaluating LLM outputs - common failure modes and context-dependence- The lifecycle approach from development to production- Basic instrumentation and observability for tracking system behavior- Introduction to error analysis and methods for categorizing failures Lesson 2: Systematic Error Analysis- Bootstrap data through effective synthetic data generation- Annotation strategies and quantitative analysis of qualitative data- Translating error findings into actionable improvements- Avoiding common pitfalls in the analysis process- Practical exercise: Building and iterating on an error tracking system Lesson 3: Implementing Effective Evaluations- Defining metrics using code-based and LLM-judge approaches- Techniques for evaluating individual outputs and overall system performance- Organizing datasets with proper structure for inputs and reference data- Practical exercise: Building an automated evaluation pipeline Lesson 4: Collaborative Evaluation Practices- Designing efficient team-based evaluation workflows- Statistical methods for measuring inter-annotator agreement- Techniques for building consensus on evaluation criteria- Practical exercise: Collaborative alignment in breakout groups Lesson 5: Architecture-Specific Evaluation Strategies- Evaluating RAG systems for retrieval relevance and factual accuracy- Testing multi-step pipelines to identify error propagation- Assessing appropriate tool use and multi-turn conversation quality- Multi-modal evaluation for text, image, and audio interactions- Practical exercise: Creating targeted test suites for different architectures Lesson 6: Production Monitoring &amp; Continuous Evaluation- Implementing traces, spans, and session tracking for observability- Setting up automated evaluation gates in CI/CD pipelines- Methods for consistent comparison across experiments- Implementing safety and quality control guardrails- Practical exercise: Designing an effective monitoring dashboard Lesson 7: Efficient Continuous Human Review Systems- Strategic sampling approaches for maximizing review impact- Optimizing interface design for reviewer productivity- Practical exercise: Implementing a continuous feedback collection system Lesson 8: Cost Optimization- Quantifying value versus expenditure in LLM applications- Intelligent model routing based on query complexity- Practical exercise: Optimizing a real-world application for cost efficiency

Eliminate the guesswork of building AI applications with data-driven approaches.

Course syllabus

If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

Monday & Wednesday & Friday

Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.

May 7, 2022

Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

Weekly projects

Course schedule

Engineers &amp; Technical PMs building AI products who are interested in moving beyond proof-of-concepts.

Those interested in moving beyond vibe-checks to data driven measurements you can trust, even when outputs are stochastic or subjective.

Founders and leaders who are unsure of the failure modes of their AI applications and where to allocate resources.

Who this course is for

What you’ll get out of this course

We've tried all of them so you don't have to.

Acquire the best tools for finding, diagnosing, and prioritizing AI errors.

And how to best leverage data when you do have users.

Learn how to bootstrap with synthetic data for testing before you have users

Data flywheels ensure you have examples to draw from for prompts, tests, and fine-tuning.

Create a data flywheel for your applications that guarantees your AI will improve over time.

How can you really trust LLM-as-a-judge? How should you design them? We will show you how. We will also show you how to refine prompts, generate metadata, and other tasks with the assistance of AI.

Automate parts of your AI evaluation with approaches that allow you to actually trust and rely on them.

We will show you approaches to discover all the ways AI is not performing

Ensure your AI is aligned to your preferences, tastes and judgement.

There are an infinite number of things you can try, tests you can write, and data you can look at. We will show you a data-driven process that helps you prioritize the most important problems so you can avoid wasting time and money.

Avoid common mistakes we've seen across 35+ AI implementations.

We will provide end-to-end exercises, examples and code to make sure you come away with the skills you need. We will NOT just throw a bunch of slides at you!

Hands-On Exercises, Examples and Code

Generous office hours ensures students can ask questions about their specific issues and interests.

Personalized Instruction

Learn proven approaches for quickly improving AI applications.  Build AI that works better than the competition, regardless of the use-case.

Hamel Husain

ML Engineer with 20 years of experience.

Shreya Shankar

ML Systems Researcher Making AI Evaluation Work in Practice

Cohort 2

All lectures are recorded, 8x live office hours.

Cohort 3

🚨 Enrollment for the Final 2025 Cohort Closes Soon 🚨 The September Cohort is SOLD OUT. This is your last chance to join in 2025. After the course, a frequent comment we hear is, "My only regret is not enrolling sooner." Use code 'AIBuildLabs' at checkout to unlock our complete offer for the final 2025 cohort:1. Our new AI Build Labs program. The highest-leverage PMs don't just write docs—they build conviction. In this exclusive lab, you'll master the practitioner's toolkit (n8n, Base44, Lovable) to build and test your ideas independently. (A $2500 value).2. A surprise $500 off your enrollment. Our biggest discount of the year. This is the final offering until 2026, and this combined offer expires Sunday, October 5th, 2025. Team Enrollment (3+): Contact us for special pricing and arrangements at support@productfaculty.com Why it matters: AI Product Manager is the new Product Manager In 2025, every product decision will be an AI decision. This course will allow you to master the skills you need to lead in the AI-driven future. 👨‍💻 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗜𝗡𝗦𝗧𝗥𝗨𝗖𝗧𝗢𝗥 Miqdad Jaffer, a Product Leader at OpenAI, has 18 years of experience in building products at some of the world's most successful companies. Currently, he leads enterprise products at OpenAI and was previously the Head of AI Products at Shopify. Miqdad is one of the world's top AI executives and an award-winning AI Product educator. His work on AI has been featured in TechCrunch, MIT’s AI Podcast, FastCompany, The Globe and Mail, and Spotify. He has been listed as one of the top 100 people to follow in Artificial Intelligence by Business Insider and has received many other awards and accolades. If you have any questions about the training, please reach out to me support@productfaculty.com. 💡 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗢𝗨𝗥𝗦𝗘This course is not just about learning; it's about doing. It’s an exercise-heavy training that goes beyond gaining "AI speak" to enhance your credibility and confidence to build AI Products and future proof your career.&nbsp;The live online sessions spread across three classes that will equip you with a comprehensive AI Product playbook. This playbook covers everything from AI use-case validation, product design, development, and delivery, to launch strategies, metrics, and growth.&nbsp;Learn from successful AI product features at leading companies like Shopify, Google, Klarna, and Amazon, and apply these insights in a capstone project where you'll build your own AI-powered feature. Topics Covered (Amongst Others):&nbsp;• Taxonomy of Prompting Techniques• Basic AI Concepts and Processes• Training and Model Improvement• Quality, Bias, and Interpretability• Computational Concepts (Deterministic vs. Non-Deterministic)• Qualitative vs programmatic evaluation&nbsp;• Model Customization Framework• Types of AI Models and Applications• Chain of Thought Prompting• Self-Reflection &amp; Self-Consistency• ReAcT Prompting Framework• Retrieval Augmented Generation (RAG)• Fine-Tuning &amp; RLHF• Function Calling &amp; Tool Usage• LLM-Powered Agents• LLM Evaluation &amp; Judge LLMs• AI Safety &amp; Moderation Tools• Adversarial Prompting (Jailbreaking and Prompt Injections)• Common Real-World Use Cases of LLMs• Understand Advanced Prompting Techniques&nbsp;• Zero-shot prompting• Few-shot prompting/in-context learning• Chain-of-Thought (CoT) 💡 COURSE PREREQUISITES﻿This course is NOT for you if:• You work exclusively on non-software products (hardware, pharmaceuticals, deep climate tech, defense tech, etc.)• You're looking for a purely theoretical overview with no hands-on practice• You're looking for a low-effort introduction to AIWhat to expect:• A structured learning path that starts with the basics – no prior coding required• Beginner-friendly guidance through setting up the OpenAI Playground environment• Practical exercises that build your confidence step-by-step• With dedicated effort, you'll achieve results that directly apply to your work 💡 𝗔𝗕𝗢𝗨𝗧 PRODUCT FACULTY&nbsp;Product Faculty is one of the most recognized names in the PM training industry and has been around for over 8 years. At Product Faculty, we’ve trained and mentored over 10K product managers working at some of the leading companies in&nbsp;the world. Product Faculty’s training has some of the highest NPS (Net promoter scores in the industry with most classes having an NPS of 70+ (considered exceptional and reflect outstanding customer satisfaction). Product Faculty has been recognized as the top rated Product Management Bootcamp from the following organizations:&nbsp;&gt; 2023 Course Reports - Best PM Bootcamp&gt; 2022 Course Reports - Best PM Bootcamp&gt; Career Carma - #1 Ranked PM Bootcamp&gt; CourseCompare - Best PM Bootcamp&gt; Switchup - Best Bootcamp Reach out to support@productfaculty.com for any questions, corporate trainings, and group discounts.

Acquire the skills & confidently build AI products and future proof your career

Access hours of expert-led content on your schedule. Build foundational knowledge in AI Product Management with in-depth modules designed for flexibility. Perfect for busy professionals looking to upskill at their own pace and apply learnings immediately.

OnDemand Content

Join live sessions to work through real-world AI case studies. Engage with exercises and get your questions answered by expert Miqdad. Gain practical insights that turn theory into action, with direct support tailored to your unique challenges.

Live Case Study and Q&A

Complete a hands-on AI capstone that simulates launching a real AI feature. Tackle ideation to deployment with weekly feedback from experts. Finish with a portfolio-ready project that showcases your skills in real-world AI Product Management.

Capstone Project

Timings for each session have been chosen based on what works best for most product people in practice. Don't worry about missing classes, recordings for all modules will be made available for you to watch in your Maven account.

Optimized for very busy schedules of Senior PM, GPMs and VPs

For PMs &amp; Leaders: The #1 rated certificate to master the age of AI. Learn the A-to-Z playbook to ship successful AI products.

For Engineers &amp; Tech Leads: Don't just build. Lead. Get the product strategy to make better tech decisions &amp; fast-track your career.

For Founders, Designers &amp; UX: The playbook to build a winning AI venture or design human-first AI experiences users will love.

Who is this course for

Clear, actionable processes for analyzing AI use cases and developing strategies towards tangible outcomes.

Solve Real Problems with AI

I’ll act as your personal innovation guide as you create functional AI applications, no prior coding experience needed.

Build Real AI Prototypes

Grasp foundational models and large language models (LLMs), and learn to code and train models independently.

Dive Deep Into AI's Technical Side

Transform theory into practice by developing your AI product idea or tackling your company's AI challenge, guided by me.

Hands-on Capstone Project

Discover essential strategies for enhancing decision-making and using data to steer results in your professional and personal life.

Make Better, Data-Driven Decisions

Master the art of managing risks by blending automation with human oversight to maximize value from AI applications.

Balance Automation with Oversight

Utilize in-context learning for efficient prototyping, RAG applications, and more, without getting engineers involved.

Learn Prompt Engineering

Deepen your understanding of AI memory/context and Retrieval Augmented Generation (RAG) to enrich AI interactions.

Master Retrieval Augmented Generation

Gain a comprehensive understanding of crucial AI algorithms, concepts, and techniques to foster organization-wide knowledge.

Boost Data & AI Literacy

Master the art of pitching your AI product ideas so clearly and excitingly that everyone's eager to jump on board.

Make your ideas irresistible: 

This intensive weekend course is tailored for professionals with weekday commitments, complete with recorded sessions for revisiting.

Optimized for Busy Senior PMs

Secure lifelong entry to our expansive alumni network for unparalleled opportunities, job connections, and continuous learning.

Lifetime Access to Product Faculty Community

Equip yourself with cutting-edge AI skills and insights to stay ahead in the evolving tech landscape, ensuring your career remains resilient and growth-oriented.

Future-Proof Your Career

#1 Rated AI Certificate. Acquire the skills needed to confidently build AI products, positioning yourself for success in the AI world

Miqdad Jaffer

Product Leader at OpenAI, TechCrunch & MIT featured, Top 100 by Business Insider

Cohort 6

Cohort 7

Yes, we teach RAG, evals, agents, MCP, multi-agents, context engineering, and all that jazz. But always as tools to solve a business problem. If you want a checklist of hype items without knowing when or why to use them, please don’t join our course. :) 🚨🚨Notes:- For current offers/promotions check out the FAQs section below-We follow a flipped-classroom format. All lectures are pre-recorded so folks can go at their own pace, but we’ll still meet 5 times a week for office hours and live sessions. The course includes 35+ hours of live time. Check schedule below- For questions or bulk requests, reach out to: problemfirst.ai@gmail.com- October will be our final cohort. We don’t plan to run this course in 2026, it’s simply gotten too hectic. As much as we love teaching AI, we love building enterprise AI systems a bit more. So if you’ve been considering it, this is your last chance to join.- This course is an independent offering and is not affiliated with, endorsed by, or related to the instructors' current or past employers. ⛳&nbsp;The only prerequisite: you should have coded at least once in your life. The course includes low-code assignments, and even folks who hadn’t touched code in over 15 years have found it approachable and rewarding. That said, a basic understanding of coding really helps you get the most out of it — and of course, there’s AI to assist you along the way. The course is built for everyone, whether you’re a Product Manager, Architect, Director, C-suite leader, or someone seriously exploring agentic AI. Agentic AI or AI systems capable of operating with some degree of autonomy, is transforming how we interact with technology. In the coming years, most software systems will integrate AI agents to enhance their capabilities. This shift will drive a growing demand for professionals who can move beyond surface-level understanding and apply AI effectively to solve real business challenges while navigating practical constraints. This course focuses on practical AI agent development, covering key agentic design and usage paradigms. Instead of just explaining what these techniques are, we focus on when and how to use them, so you're equipped to make informed, business-driven AI decisions. What You'll Learn All core content is pre-recorded so students can focus on two-way interaction. Lectures are watched asynchronously, and we host four office hours each week for questions and brainstorming Week 1 (Let’s get you to understand what problem-first means)Decode why agentic AI breaks traditional software assumptionsFrame hallucinations, latency, and prompt brittleness through the determinism spectrumOpen vs. closed models: tradeoffs across compliance, latency, and costProblem-first, evaluation-driven design using early datasets and proxy metricsDeconstruct a production-grade use case and redesign it across progressive system versions Week 2 (Prompt engineering is still the core part of agents, do it smarter with right evals)Break down the evolution from zero-shot prompts to self-optimizing modelsMaster context engineering: Decomposition, meta-prompts, algorithmic optimizationAnalyze when to use prompting-only systems based on task, cost, and latencyCompare model-level strategies: reasoning vs. regular, and when each makes senseAdd guardrails and evaluation layers using LLM judges, semantic scoring, and offline tests Week 3 (RAG is not dead, it’s in fact the basis of self-improving agents)Address statelessness via dynamic retrieval and memory-backed context injectionBuild robust RAG pipelines with advanced chunking, embedding selection, and retrieval methodsExplore GraphRAG, Agentic RAG and multimodal RAG and other advanced methods and learn tradeoffsArchitect episodic, semantic, procedural, and working memory layers for self-reflective agent behavior Week 4 (MCP from an enterprise lens and multi-agents + Fine-Tuning)Understand planning autonomy in agents and how dynamic tool use and multi-turn reasoning go beyond static workflowsCompare agent levels and their control dimensions: action, planning, evolution, and physical autonomyExplore MCP (Model Context Protocol) and A2A as emerging agent-tool communication standardsInvestigate critical security challenges in MCP and A2A. Understand how guardrails, tool signing, audit trails improve reliabilityAnalyze coordination patterns in multi-agent systems, including shared memory governance, state sync, AI collusion risks, evaluation, logging, and observabilityExplore fine-tuning levers (SFT, RLHF, PEFT etc.), compare with RAG, and determine when to shift from context injection to model adaptation Week 5–6 (Put it all together in a capstone)Work in groups of 6Take a business problem and design/implement a solutionDemo to 4000+ public attendees including leaders, VCs, and hiring managers Homeworks: You'll supplement your learning by building an agentic search system (Perplexity like) in 3 iterations with the final iteration using agentic RAG, MCP and multi-agents. You can choose between low-code/code routes to complete assignments. ---- ❌ Who This Course Is Not For For Those Who Have Already Deployed Gen AI in Enterprise: This course is designed as an applied foundations course for enterprise AI with only basic Python as a prerequisite and no ML background required. If you’re already familiar with deploying AI systems, you won’t gain much from the core content. However, if you're looking to network and refine best practices, you're welcome to join. Those Seeking Heavy Theoretical Knowledge: This course emphasizes applied learning and practical problem-solving, not deep dives into theoretical topics like transformer architecture, pre/post-training optimization, inference techniques, or alignment. Those Who Have Never Coded Before: While we provide low-code options, this course assumes you have some coding experience. It’s not suitable for those who have never written or worked with even basic code. Individuals Expecting Deep AI Research Focus: While we’ll cover cutting-edge techniques, this course is centered on applying AI to business problems, not research-heavy exploration. Scaling and Ops Enthusiasts: This course does not focus heavily on scaling or operational aspects (i.e., LLMOps). Deployment will be covered at a high level, but not in-depth.

Design and build impactful agentic AI systems to solve business problems.

You should have coded at least once in your life. The course includes low-code assignments, and even folks who hadn

The only prerequisite

We offer generous office hours to support you throughout the course, along with 24-hour help on Slack. Typical weekly schedule:<ul><li>Wednesdays at 10 am PT and Saturdays at 9 am PT: Assignment Support</li><li>Thursdays at 5 pm PT and Saturdays at 8 am PT: Content/Use-case discussions</li></ul>

Live Office Hours

Our weekly community discussion channel covers the latest trends in AI, industry updates, and all the unfiltered tea, open, casual, and freeform.

Chai & AI Sessions

We bring in industry experts to share proven insights and discuss real enterprise challenges

Guest Lectures

Software/AI Engineers, Strategists, Data Professionals, Solution Architects and Consultants who want to master AI system design

Business Leaders and Product Managers seeking to gain the technical understanding needed to make informed decisions &amp; lead AI initiatives

Entrepreneurs looking to understand common generative AI use cases and learn how to develop and implement AI-powered solutions

While most courses stop at teaching tools and frameworks, this course goes further by focusing on solving real-world business problems. You’ll tackle practical constraints like cost, scalability, latency, and performance, learning to design AI solutions tailored to real use cases

Solving Real Enterprise Challenges, Not Just Concepts 

While learning applied AI concepts, we’ll put them into action by building a Perplexity-like AI-powered search system through detailed, hands-on tutorials that demonstrate their practical application (Low code options will be provided)

Apply Concepts to Build an Agentic Search System

Learn how to connect cutting-edge research with real-world applications. For the capstone, you’ll use our curated list of the latest research papers to design and implement solutions for practical business use cases. Some of our capstones have received VC funding too. <a href="https://areganti.notion.site/Capstone-Projects-Problem-First-AI-1e0c91fa32368011b935e00a35d9bceb" rel="noopener noreferrer" target="_blank">Examples</a>

Gain a deep understanding of key challenges in building AI systems, including handling hallucinations, adversarial attacks, security, privacy issues etc., and learn best practices to evaluate AI solutions comprehensively

Understand Challenges and Effective Evaluation
 

The course includes guest lectures from industry experts, AMA sessions, and our Chai &amp; AI discussions, culminating in a final in-person meetup in the Bay Area. You'll have plenty of opportunities to network and become part of our community.

Access to the Problem-First AI Community

Learn to make decisions tailored to business constraints, understand when & how to apply AI effectively & build a multi-agent application

Aishwarya Naresh Reganti

Tech Lead | Lecturer | Advisor | Researcher | Speaker | Investor

Kiriti Badam

Member of Technical Staff @ OpenAI | AI Advisor | Ex-Google

July 2025 Cohort

Oct 2025 Cohort

ANNOUNCEMENT: August-September Cohort is Fully Sold out.TheOctober-November Cohort would be our last Cohort of 2025.Discounts would be on a reducing seats/dates basis1) EARLY BIRD DISCOUNT of $595 off with code - EARLYOCT - till 20th September Only2) $500 Off with Code AI4U, till 30th September only3) $400 Off with Code SEPT, till 10th October Only Questions?Meet our team here - https://calendly.com/team_maheshyadav/ - Feeling Lost in the AI Wave?You're great at what you do, but not confident navigating the AI shift and its implications on product development and building. - Struggling to Translate AI Concepts Into Product Thinking?You hear terms like LLMs, agents, and embeddings, but you’re not sure how to turn them into features or user value. - You Know Product—But Not AI Tools.You don’t have hands-on experience with GenAI tools like lovable, Vo.dev, LangChain, RAG, or OpenAI APIs that hiring teams now expect. - No Portfolio That Shows You “Think AI.”You lack real-world AI case studies or projects to demonstrate your ability to build with and for AI. - You Want a Role That Excites You Again.You’re craving deeper impact, technical challenge, and the next chapter of your career. - Overwhelmed by AI Hype, Unsure Where to Start.There’s too much noise in the AI space—you're looking for a structured, guided approach that actually delivers and helps you identify AI opportunities, create a roadmap, set evaluations, and GTM. - Not Confident in Leading Technical Conversations.You’re struggling to collaborate with engineers on AI-first products or ask the right questions in meetings. - Your Current PM Role Feels Stagnant.You're looking for growth, but your current role doesn’t offer a clear path into GenAI leadership. - Difficulties in cracking AI PM Interviews?You’re applying for AI PM roles but keep getting stuck at the CV review or technical rounds. What You’ll Achieve with this Agentic AI PM Program with MAANG leader (Learning+Building Products+Interview Prep: All At One Place) - Build Real AI Product Intuition – Learn to translate AI capabilities into user-centric features. - Hands-on AI Labs &amp; Tools – Using various AI tools like V0.dev, lovable, Langflow, Langchain, OpenAI agents, Microsoft Co-pilot studio, Vertex.ai, and more, with or without needing to code, - Craft a GenAI Portfolio – Complete real case studies and projects to showcase your AI skills by building&nbsp;MAANG-level AI PRD. - Crack AI PM Interviews with Confidence – Proven frameworks, mock interviews, and personalized feedback.&nbsp;- Join a Network of 5000+ AI PMs – Weekly syncs, expert sessions, and lifetime support. Join Mahesh on a weekly FREE session in the community to stay updated on the latest. What you’ll take away from the cohort✅ Spotting high-impact AI use cases in any business✅ Master agentic design (memory, knowledge, reflection, focus)✅ Build multi-agent workflows with tools &amp; data✅ Design and write MAANG-level PRDs✅ Use advanced prompting (CoT, ToT) for real applications✅ Deploy agents using Langflow, CrewAI, OpenAI, Vertex AI, and more✅ Grasp core ML concepts — neural networks, transformers, memory mgmt✅ Learn pricing, GTM, and scaling strategies for AI products✅ Work on real MAANG-level case studiesAnd unlike most cohorts that wrap up after 3-4 live sessions, we guarantee more value than you pay for:20+ live sessions with Mahesh during the cohort and countless more on advanced trending topics even after the cohort's lifetime.Whether you come from a tech or non-tech background, you won't just build with AI — you'll walk in already appearing like an insider. What’s Included (Total Value: $4500+):✅ Full GenAI Cohort Experience ✅ 3-Week AI PM Interview Prep Bootcamp ($1500) (starting 27th Sept)✅ 1:1 Career Mentorship with Mahesh Yadav (Worth $1000)Our August-September Cohort was sold out in days, and only October cohorts remain for 2025. This is your final chance to join the most practical, hands-on AI PM program at the current price. Special Pricing for Team Enrollment/Corporate training (5 or more)&nbsp;📞 Have questions?Meet our team here https://calendly.com/team_maheshyadav/And we’ll walk you through everything. We’re consistently recognized as one of Maven’s top courses and are the only 5-star rated courses in AI.We're the only AI PM certification course that genuinely helps and tracks your success even after cohort completion.We are really proud of 27% of our cohort members who have successfully transitioned into AI PM roles. We achieve these results through:- 50+ written lessons- 10+ live workshops (beyond recorded content)- 20+ live AMA sessions directly with Mahesh- Continued support during interviews and continuous learning via weekly sessions after the cohort- Non-technical PMs are fully supported and encouraged to dive in—we provide extensive support hours to help. Our mission is to make this the only AI course you'll need in 2025 (period). To ensure this, we've added hands-on learning labs and strong technical support that empowers everyone—no coding or technical background required. Here, we will empower you to confidently identify, create, evaluate, and launch production-ready agents using GCP Vertex AI, Langflow, Crew AI, Azure Evaluators SDK, and Azure Co-pilot Studio. We are offering two timings to accommodate your busy schedules.Wednesdays at 5:30 PM PSTSaturdays at 9:00 AM PST Get to know MaheshMahesh Yadav is your mentor and guide to success in AI product management. With over 20 years of experience and 10+ years building AI-powered products at Google, Amazon, Meta, and Microsoft. Mahesh has 9 patents as a primary innovator in AI training and Power management. He has presented at premier conferences such as Nvidia GTC, Microsoft Build, and AWS re: Invent. Mahesh brings firsthand insights from advising fast-growing AI startups and collaborating with senior leaders at Google, Meta, and Amazon, giving you an inside look at what truly drives AI innovation in top tech giants and AI startups in the Bay Area. Deep Expertise: Mahesh led the expansion of PyTorch into PyTorch Distribution and contributed to Meta’s first GPT3-scale training model (OPT) in 2019. His work spans key AI technologies, including recommendation systems, PyTorch, Agents for AWS Bedrock, and multi-agent for GCP. Practical Insights: His teaching uses real project examples to deliver actionable strategies you can implement immediately. He has been teaching for the past 15 years at Microsoft. He taught as a TEALS instructor for 3 years, then he taught AI courses internally for fun at Meta and MSFT. For the last 3 years, he has taught 10k+ across Free and Paid channels.&nbsp; Impact he left: Over 3000 professionals have upskilled through his courses, many now holding roles at top AI companies

Agentic AI Cohort + Building with AI :Together in the #1 AI PM Program

Recordings will be provided in the student portal if you cannot join live.

5 Saturdays 90 mins sessions with Mahesh

You will have 5 lab sessions to build with Mahesh Teams. It is also our weekly open office hour.

Wed Lab Sessions/Optional Q&A

We want to help you to continue your learning journey even after the cohort ends. We meet weekly on my LinkedIn community. Current and previous cohort members join us to keep learning. Join us for a free event:https://www.linkedin.com/company/mahesh-ai-pm-community

Weekly Community Sessions

Product Managers Traditional PM looking to transition into AI Product Management. This course will help you more with GenAI.

Engineers and Designers:Ready to transition into the PM world? Learn to bridge the gap between technical implementation &amp; product strategy

Founders:If you're looking to turn ideas into MVP &amp; gain the knowledge &amp; confidence to lead your team in building Ai Products

Builders Ready to Upskill into the PM world with real toolsLearn to bridge the gap between technical implementation &amp; product strategy

Are you wondering if this course is for you ?

Your Takeaways From This Cohort

Go from beginner to confident AI Product Manager in just a few weeks. In this course, you’ll follow a hands-on, project-based approach to quickly master both the fundamentals and advanced skills needed to build production-ready AI agents that solve real problems.

Fast-Track Your AI PM Journey

Our alumni are landing promotions, pivoting into AI roles, and stepping into leadership positions at top tech companies. As part of the cohort, you’ll tap into an active network that shares referrals, job tips, and insider guidance to help you break into or level up in the AI spa

Accelerate Your Career in AI
 

If you're a founder or builder, this course is your launchpad. You’ll be equipped to take your idea and turn it into a functional AI MVP tailored to your business needs - right away.

Turn Ideas Into Real Products

You won’t just leave with skills—you’ll leave with connections. Join a community of like-minded professionals, learn from each other, and keep growing long after the course ends.

A Lifelong Community That Grows With You

Build AI powered products, Master Evals, and land your Next AI role - In guidance with MAANG leader who has been there done that many times.

Mahesh Yadav

The End-to-End AI Engineering Bootcamp is an 8-week, cohort-based experience designed to turn technical professionals into full-stack AI engineers who can confidently design, build, and deploy production-grade AI systems. Led by Aurimas Griciunas - LinkedIn Top Voice in AI, ex-CPO at Neptune.ai, and creator of the SwirlAI newsletter - you’ll gain deep, hands-on experience with Retrieval-Augmented Generation (RAG), agentic systems, memory, observability, and scalable deployments. 💡 Why This Bootcamp?AI is no longer experimental. Businesses are investing in production-grade AI products, and teams need engineers who can go from idea to infrastructure, from prototype to product. This course is built to reflect that reality.You won’t just learn what RAG or agents are - you’ll learn when to use them, how to build them, and why certain architectures scale better than others. You’ll move beyond demos and notebooks to ship a complete, working solution. 🛠️ What You’ll BuildYou’ll develop your own capstone project - a real-world AI application built sprint by sprint, applying each week’s concept to solve a business-relevant use case. By the end, you’ll present it live on Demo Day, with a working repo and deployed app you can showcase to hiring managers, CTOs, or investors. 🧑‍💻Technologies include:✔️ LLM APIs (Gemini, Claude, GPT, etc.).✔️ Vector databases &amp; RAG.✔️ AI agent libraries (LangChain, LangGraph, CrewAI).✔️ Docker, FastAPI, Kubernetes, cloud deployment.✔️ Observability, evaluation, and performance testing.✔️ Modern communication protocols (A2A, MCP). What's new in September Cohort:✅ Deeper focus on Evals: you will get the value of dedicated eval courses and more.✅ Context Engineering hands-on deep dives for different levels of Agentic System complexity. 💰 Additional Perks.Each student will receive $500 in Modal Credits for cloud compute and deployment. 🧠 How It WorksEach week follows a real engineering sprint: Sprint Lesson (Monday): Self-paced learning with videos, cheatsheets &amp; reference code.Sprint Review (Tuesday): Live walkthrough with Aurimas + deep Q&amp;A.Sprint Build Lab (Thursday): Live coding session to implement key sprint features.Bonus QnA and Feedback sessions. 📌 Every concept you learn is applied directly to your project. No filler. No fluff. Just real-world engineering skills. 🏁 What You’ll Leave With✅ A working AI product you can demo.✅ The skills to scope, architect, and ship production AI systems.✅ Deep confidence working with RAG, agents, and LLM infrastructure.✅ A process-driven mindset to lead AI projects in real teams.✅ A permanent access to learning materials of future cohorts.

🚀 Build Real AI Products, Not Just Prototypes

Lessons, hands-on coding, Q&amp;A, and feedback.

Live Events Tuesdays, Thursdays & Fridays

Your capstone project is the core of this bootcamp. From Week 1, you'll define a real-world AI use case and develop it incrementally across sprints. Each concept - RAG, agents, memory, optimization—is applied directly to your project, preparing you to showcase your solution.

Data Professionals (Analysts &amp; Scientists)Looking to move beyond analysis and modeling to build and deploy real-world AI systems.

ML EngineersWho want to deepen GenAI skills and master scalable, production-ready AI engineering from end to end.

Data EngineersReady to expand into AI by learning how to integrate data pipelines with LLMs, RAG, and agent-based systems.

This course is for data scientists, ML engineers, data engineers, and technical analysts who have foundational Python and ML knowledge

Build a robust Retrieval Augmented Generation (RAG) system from scratch to deliver context aware AI solutions.

Implement AI agents capable of tool integration, reflection, and autonomous decision making.

Master best practices for automated prompt engineering.

Deploy scalable, production-ready AI applications using containerization, and cloud infrastructure.

Establish best-practice LLMOps processes, including LLM observability, system monitoring and continuous evaluation.

Ensure security and compliance in AI solutions through practical strategies and real-world testing.

Learn how to apply emerging technologies such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication protocol.

Showcase a fully operational AI application as a final capstone project, ready for professional portfolios.

Master end-to-end AI engineering - transform prototypes into production-ready apps with LLMs, RAG & agents in just 8 weeks.

Cohort Beta

Aurimas Griciūnas

Join group of AI engineers pioneering the journey from prototypes to production-ready AI solutions. 

Cohort Alpha

‼️‼️‼️ Important: The price of this program will increase to $995 starting 01/01/2026. October and November are our final cohorts for 2025 &amp; will be the final time we offer the $895 price point (you get a complimentary round at this course within that pricing). 👉👉👉 Build the Skillset That Will Define the Next Era of Work &amp; Become the Agentic AI Practitioner Companies Are Desperately Seeking The Future of Work Is Agentic - The Skills Gap Is Your Opportunity On one side:📈 82% of leaders plan to use AI agents to scale their teams📈 28% of managers are considering hiring AI workforce managers to lead hybrid teams of humans + agents📈 32% of companies plan to hire AI agent specialists within the next 12–18 months(Source: Microsoft Work Trend Index 2025) On the other side:📉 Only 1% of executives believe their AI investments have reached maturity📉 47% of C-suite executives identify talent skill gaps as the primary barrier to successful AI implementation(Mckinsey, Superagency in the Workplace 2025) Tl;dr:📉Very few people actually know how to do this work📉 Most teams don’t have the internal skill set.📉 Most AI consultancies aren’t offering it yet. That’s the gap. And for the few of us who know how to design and build AI Agents &amp; agentic systems, not just use AI tools, that gap is opportunity: → New consulting offers→ New service lines→ New roles inside orgs→ And new seats at strategic tables This course is for people who feel the shift happening and don’t want to be late to it. For the consultants, leaders, operators, advisors, and founders who’ve seen these inflection points before and know how rare it is to catch one early and actually know what to do with it. 👉👉👉WE TEACH YOU THE FUNDAMENTALS OF OUR AI AGENT, WORKFLOWS &amp; AGENTIC WORKFLOW IMPLEMENTATIONS THAT START AT $25K - SIX FIGURES. 🗣️“I sold a 400-person media company on a pitch for an AI onboarding and training tool—100% due to what I’ve learned in Foundations and Build Lab. The biggest value? Teaching them how to tap into a strategic knowledge base with AI agents.” 🗣️“I had an interview for a CMO position at a $20M ARR company. By the time the call ended, the CEO was excitedly walking me through their entire martech stack—and introduced me to their RevOps leader 3 minutes after the call. I may have my first paying client before I even finish the class.” 🗣️“Landed a 3-month AI strategy and roadmap gig inside a major department. The training gave me the credential I needed to speak with confidence. I’ll be working 7 days a week now but grateful beyond words to Sara and Tyler for the opportunity.” 🗣️“I’m shifting from Data &amp; Marketing into a true AI role at a remote-first AI tech platform. It’s allowing me and my fiancé to build the life we want. I owe nearly all of that to this community and the teaching from Sara and Tyler.” 🗣️“One of our company execs asked me to build a PoC using agents to demo to the board based on what i learned from Sara and Tyler. We’re now trialing new licenses and talking about a promotion into a newly created AI role. I’m nervous but thrilled.” 🗣️“The transparency and openness from Sara and Tyler is rare and powerful.I landed a monthly retainer helping a SaaS business scale with agentic AI. The course and the community gave me the mindset and tactical edge I needed to step into this role" (PS - this is NOT a ChatGPT 101 Course, but consider this an intensive intended to take you you the foundational skills to build AI Assistants, Agents &amp; Agentic Workflows with proven frameworks &amp; systems used on real AI projects). --------------------------------------------------------- ﻿What You’ll Achieve in Just 4 Weeks: Get ready to go from wherever you are to building agentic workflows! You’ll learn, step by step, how to build and lead agentic workflows that plug directly into business operations: no code, no technical background required. 🔹 Learn how to graduate your Assistants into AI Agents with our "evolution, not revolution" approach🔹 Design workflows powered by AI agents🔹 Start building your Agentic AI portfolio so you can "show up with a mock-up" and demonstrate unequivicol value 🔹 Integrate human + agent orchestration into your offers, team, or client work You’ll walk away with real skills: ones you can monetize, implement, or lead with inside your business, team, or consultancy. By the end of this course, you’ll confidently be able to build AI Agents and string them together in a multi-agent workflow. 🚫 This Course&nbsp;Isn’t For You If… - You’re just curious about AI and just want to dabbleThis course is built for action-takers, not lurkers. It's an immersive, tactical learning experience.- You want a certificate, not a skill set.If you’re after a fancy badge to add to your LinkedIn without doing the real work, this isn’t it. We teach implementation, not inspiration.- You’re looking for another theoretical breakdown of AI.We skip the buzzwords and get straight to building workflows and systems that solve real business bottlenecks.- You’re hoping the tech will do all the thinking.We teach you how to think agentically: how to design, delegate, and orchestrate. AI’s not replacing your brain, it’s extending your capabilities.- You’re not open to a little experimentation, iteration, and mess.This is immersive, hands-on learning. You’ll test, build, break, and learn as you go.- If you're already building multi agent workflows our advanced course "AI Build Lab Launch Studio" is a better fit. This course mimics what designing &amp; building agentic solutions is like in the real world, off perfect slide decks and theory.Put in the work and you will be in the 1%. 🗣️“Sara and Tyler do more than lecture. They show you, and have you actually do the work.They combine deep knowledge, humor, and a strong sense of community. The tools they gave us made building an agentic workflow in just four weeks not only possible but empowering.” 🗣️ “This speaks volumes to the need for broad AI training.I was invited to join the advisory board of an AI consulting firm not because I’m the most technical, but because I speak the language of AI from a business lens. This course is a game-changer for non-tech backgrounds" ----------------------------------------------------------- What You’ll Actually Learn to&nbsp;Do (Step By Step) ✅ Write system instructions and prompts that actually workYou’ll learn how to design agents with clear, controllable behavior using advanced prompt structuring and prompt engineering tools. ✅ Use parameters eg temperature and business second brain to drive consistent, high-quality AI outputUnderstand how to control AI behavior across complex workflows, so your agents don’t just sound smart, they perform. ✅ Build AI agentic workflows from scratch: no code requiredFrom unstructured data to structured outcomes, you’ll design and deploy real agentic workflows by week 4! ✅ Evaluate and quality-check AI output using human-in-the-loop methodsYou’ll apply scoring frameworks and set benchmarks so you can trust your systems before you scale them. ✅ Leverage our AI Assistants, Agents &amp; Workflows to build with AILearn Meta Prompting with Gigawatt. The prompt library you’ll graduate with gives you a repeatable setup for building agent teams that grow with your business. ✅ Develop the 1% skill set companies are hiring for (and consultants are selling at a premium)Agent design, orchestration, Evals, deployment, you’ll gain hands-on, real-world execution skills. --------------------------------------------------------- What You’ll Have Access To: • Hands-on projects with leading AI tools like Cassidy.ai - we cover the cost!•The chance to reconstruct “The Professor” and learn how to repurpose it into any role you need – from customer service to internal knowledge management.•	A personalized prompt library tailored to your specific needs.•	Actionable templates and resources for seamless AI integration.•	A prompt library populated with some of our prompts to get you started! ----------------------------------------------------------- Course Value vs Your Investment:Total Value:&nbsp;$16,590 vs Your Investment:&nbsp;&nbsp;$895 🔹 Live + on-demand training to help you build, test, and launch real AI agent workflows($895 value)&nbsp;Weekly Live Coaching &amp; Build Reviews 🔹 Get unstuck fast with personalized support and feedback from Sara, Tyler &amp; team($1,200 value)&nbsp;Agentic Workflow Templates + Instructions 🔹 Pre-built prompts, system instructions, and step-by-step docs in our instance of&nbsp;Cassidy.ai&nbsp;to get you building from week($7,000+ value) 🔹 Personalized Project Workflow &amp; Agent ReviewsSubmit your 4x builds for expert review($1,100 value) 🔹 Agent + Assistant Prompt LibraryYour graduation gift: a library full of the system instructions to all the assistants + agents you will be working with in this course + some bonus ones($5,000+ value - our students tell us one AI Agent "Gigawatt's" system instructions is worth that alone, you get multiple) 🔹 Lifetime Slack Community AccessStay plugged in a vibrant with peers, mentors, and the wins that keep momentum high($500 value) 🔹 Complimentary Access to Any Future CohortJump back in anytime to deepen your skills or rebuild with fresh eyes($895 value) ----------------------------------------------------------- 🗣️“Talk about ROI!!! 🧠🤯I was able to ideate a startup idea &amp; apply to a top VC incubator for $750,000 in funding… in 2 days… based on what I learned in Week 1 training alone.This course, without a doubt, is the best AI training I’ve invested in over the past three years.Sara Davison and Tyler Fisk are top-tier AI talent, easily in the top 1%.” 🗣️ The course exceeded my expectations. Tyler and Sara delivered exceptional instruction with clarity and expertise. Their “mad scientist mode” approach encouraged creative exploration, while their friendly demeanor made complex concepts accessible. I particularly valued their practical tips on voice commands, second brain methodology, and workflow optimization. The community they’ve built provides ongoing value beyond the course itself. A perfect 10/10 experience that has already improved my AI implementation capabilities. "🗣️ This is an outstanding course in a number of ways: Sara and Tyler share a ton of knowledge.They make sure we understand the knowledge via the homework assignments.They provide excellent support via themselves, their staff, and “The Professor” AI agent.They’ve created a community of AI-interested people who support each other in our AI learning journey. I highly recommend this course." 🗣️ "Fast paced and covers a lot. Shows how to generate detailed prompts that are mind opening." 🗣️ "Fantastic foundational course on how to deliver value through AI and Agentic Workflows. Highly recommend this and the secondary course for Build Lab with real-world examples of these solutions." 🗣️ "Absolutely worthwhile. The foundational learning is well structured, and approachable but goes deep. Along the way you gather other tools and auxiliary knowledge that will assist you in your own journey. The instructors really put the time in. I’m grateful for all of it." 🗣️ "Great course. Well structured and thought out. Loved the hands-on coursework elements." 🗣️" Fantastic work! We really got much further much faster than I had expected. Really good insights." 🗣️ "This course builds more than just a fundamentals of understanding and building an AI Agent backed with an Agentic Workflow, but also teaches you some leading edge things that will put you at an advantage and stand out amongst others across the industry. Not only will you learn from this course, but you will build valuable connections and find your 2nd home amongst like-minded people with various backgrounds." 🗣️" Great course for getting into AI Agents! I liked the course structure, the extensive and comprehensive learning materials, as well as the live sessions. Sara, Tyler, and their team really did a fantastic job putting this together. Highly recommended!"

The Path To Becoming A 1% Agentic AI Practitioner -  Zero Coding Required

This will be our live learning &amp; Q&amp;A time - join one, or both or catch up with the recording.

Mondays

Fridays

Learning with us is all about practical application. We want you to to be able to apply what you learn back into your work &amp; business!

Non tech-professionals wanting to become the 1% AI leaders &amp; operators in the workplace

Consultants and agencies looking to offer AI consulting and implementation services

Entrepreneurs &amp; business owners looking to build businesses as scalable, growth machines

What we'll teach you, step-by-step, zero code required:

Create an AI learning companion that adapts to your unique goals, industry, and learning style so you can go deeper, faster, and revisit complex topics anytime you want.

Build Your Custom AI Tutor (“The Professor”)

Go beyond using tools: develop the skill of co-creating with AI. Learn how to design, instruct, and collaborate with AI systems to build assistants, agents, and workflows that scale your business intelligently.

Master Working with AI to Build AI

Learn our proprietary framework for crafting prompt flows that generate consistent, high-quality outputs. From brand voice alignment to advanced prompting patterns this is how you make AI outputs feel like you wrote them.

Design Effective Prompt Architecture

Learn how to connect your AI tools to a centralized knowledge base so every agent, assistant, or workflow you build has the context of the business. No more generic outputs. Just smart, aligned, context-aware execution.

Leverage The Business Second Brain

Build AI assistants that actually work tailored to a case, trained on company information, and ready to support real business functions like customer support.

Deploy Business-Ready AI Assistants & Agents

Implement evaluation methods that ensure your agents and assistants deliver accurate, brand-aligned, and goal-driven outputs at scale. This is what separates strategic operators from casual users.

Master the 1% Skill: Evaluations

Evolution not revolution. First master the fundamentals of building and architecting Assistants to get consistent quality, reliability &amp; trustbefore providing them with autonomy &amp; graduating them to AI Agents.

Graduate your Assistants to AI Agents 

Learn how to write effective system instructions, set role-based parameters, and build agents that collaborate and improve over time. This is the foundation of any scalable agentic system.

Understand Agent Design

Graduate your assistants into agents! Design and build multi-step workflows that chain tasks across agents automating your business logic without a single line of code

Create Multi-Step Agentic Workflows

Go beyond “it works.” Build AI systems that perform under pressure, stay on-brand, and scale with your business needs—without becoming a time suck to maintain.

Manage Quality and Scale

Walk away with a complete prompt library, custom-built assistants, and agent templates you’ve used (and mastered) during the course, plus a vault of bonus tools to reuse, remix, and deploy in your business as you grow.

Graduate with a Personal AI Toolkit

Build AI Agents in 4 weeks with proven frameworks that add 6-8+ fig to a business bottom line, no coding required

Cohort 12

Sara Davison

Founder & CEO of Maivenly

Tyler Fisk

Founder & Chief Nerd of Galactic Ranch

Cohort 11

Cohort 13

🚨 Independent offering. This course is not affiliated with, endorsed by, or related to any of the instructor’s current or past employers. This course is a practical roadmap for PMs who want to go from "I understand what RAG is" to "I shipped an AI product that customers love." Over 4 weeks of hands-on, interactive sessions, you'll bridge the gap between AI knowledge and shipping success. This is best suited for PMs who have at least a theoretical grasp on the latest AI concepts (RAG, MCP, Evals) and who have played around with prototyping tools like Replit, Bolt but are looking to bring AI features from prototype to production inside their companies. At the end of this course, you’ll leave able to:&nbsp; - Build and deploy functional AI agents for your personal and team workflows. - Define Your H1/H2 AI Roadmap, and lead AI product strategy with confidence and credibility. - Evaluate AI product performance with robust metrics beyond simple accuracy, or toxicity.&nbsp;After years of building AI products, I’ve noticed something surprising: every PM building with generative AI obsesses over crafting better prompts and using the latest LLM, yet almost no one masters the hidden lever behind every exceptional AI product: evaluations. - Take prototypes to production with clear implementation plans. - Collaborate effectively with AI engineers, executives and stakeholders.&nbsp; - Learn how to identify and hire great AI PMs for your team. --- WHAT TO EXPECT 1. We’ll prototype an AI product (I.e. use code gen with Cursor / Replit + langgraph/crew) to build an agentic application/system, relevant to your work or life. If you don’t have an idea, I’ll provide one/walk through one. We’ll build it together. 2. We’ll breakdown how code gen agents work to understand the inner workings of an AI product/feature (main components).Evals are the hidden lever behind every exceptional AI product. We’ll explore this in practice by running evals on your prototype and iterating on the prompt. 3. We’ll talk about best practices for getting to production, what to think about when you have real user data, how to work together with an AI team.&nbsp; 4. We’ll turn your prototype + eval system + learnings into an “AI strategy doc/artifact” that you could use to convey this ai feature to others on your team/stakeholders --- This course will be very hands-on – you’ll build real tools, evaluation frameworks, and develop implementation plans!&nbsp; - 4 week live sprint: 8 interactive live sessions packed with vibe-coding labs, eval workshops, and peer feedback loopsAll sessions will be recorded and available to students asynchronously. - Built by and led by a current practitioner – I’m sharing the playbook I use as Head of Product at Arize AI (supports companies like Uber, Instacart, Discord, Reddit) and Spotify to help hundreds of engineers launch AI-powered products. - I'll also host a dedicated Slack community where you can communicate with me and other participants.&nbsp; - All sessions will be recorded and available to students asynchronously. This is not a theoretical course about AI concepts—it's a practical roadmap for product managers who want to go from "I understand what RAG is" to "I shipped an AI product that customers love." Over 4 weeks of hands-on, interactive sessions, you'll bridge the gap between AI knowledge and shipping success.

Design, prototype, and ship AI-powered products that delight customers

Build, evaluate, and ship successful AI products with real-world frameworks and hands-on experience to become an advanced AI product leader