March 2025 Cohort

Learn to make decisions tailored to business constraints, understand when & how to apply AI effectively & build an application from scratch

Aishwarya Naresh Reganti

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

Kiriti Badam

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

Building Agentic AI Applications with a Problem-First Approach

Google

University of Oxford

MIT research group

Amazon Web Services

OpenAI

🚨🚨Note: This course is an independent offering and is not affiliated with, endorsed by, or related to the instructors' current or past employers. ⛳ 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 usage paradigms such as workflow agents, integrating RAG/retrieval components, autonomous agents, and fine-tuning—all with a strong emphasis on real-world applications. Instead of just explaining "what" these techniques are, we’ll explore "when" and "how" to use them, equipping you to make informed, business-driven AI decisions. 🎁 Our course is now featured on Lenny’s List!All students also get a bonus $1,395 in free credits to upgrade your workflow with Superhuman, Linear, Sprig, Dovetail, and Gamma. ⛳ What Makes This Course Unique Solving Real Enterprise Challenges, Not Just ConceptsWhile 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 that deliver value. Participate in Weekly Enterprise Use-Case Workshops with PeersAll content will be recorded and available for async viewing. Each week, we’ll have team workshops to discuss real-world business use cases that can be tackled using the concepts covered that week, along with any challenges we encounter. Hands-On Product DevelopmentYou’ll build a real-world agentic product from scratch (low code options available). Our tutorials will guide you through creating your own Perplexity (Agentic search system), giving you practical experience with application techniques. Collaborative Team WorkshopsExperience what it’s like to solve a business problem in a real-world setting. In a collaborative workshop, you’ll work with others to design and develop solutions, simulating how teams take AI projects from 0 to 1.&nbsp; Capstone ProjectLearn 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. ☕ Weekly Chai &amp; AI Sessions with Our Problem-First CommunityJoin optional weekly sessions during the course where we discuss the latest AI developments, their impact on enterprises, and what they mean in practice. We bring in guest speakers, including AI practitioners, industry leaders, founders, and VCs for AMA sessions, along with deep dives into research and hands-on workshops to bridge theory with real-world applications. Guest Lectures from Industry ExpertsWe believe in learning from practitioners who have built and deployed real AI solutions in the enterprise—not just talkers, but doers. Our past cohort guest lectures have featured leaders who drive AI adoption at scale, including:Aman Khan – Director of Product, LLM @ Arize AIDoneyli De Jesus – Principal AI Architect @ SnowflakeJayeeta Patatunda – Director, AI CoE @ Fitch RatingsWe aim to bring many more industry leaders in future cohorts, ensuring you learn from the best in the field. 🫨🫨🫨The Biggest Advantage! (Lifetime access to future cohort material)AI moves fast, and staying ahead means continuous learning. That’s why all students get lifetime access to the latest AI material from all future cohorts—no extra fees, no outdated content. You’ll always have access to latest cohorts lecture recordings and reading materials, incorporating the latest model updates (like reasoning models currently), emerging techniques, industry shifts, and best practices. This is your one-stop learning hub—no need to keep signing up for new AI courses. New Concepts Coming to the May 2025 Cohort:Reasoning Models – A full module on when, how, and why to use themMCP &amp; Agentic Apps – Building agentic applications using MCPAgent Evaluations – Methods and best practices for assessing agentsAgent Architecture Breakdown – Deep dive into popular agents like NotebookLM, Deep Research, and potential architectures 🙌 Plus, top students get lifetime access to our Chai &amp; AI community sessions and in-person meetups, where they can dive into deep discussions, network with top industry professionals, and gain exclusive insights straight from the frontlines of AI. ❌ 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.

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

Who is this course for

What you’ll get out of this course

Learn applied generative AI techniques like prompt engineering, RAG, agents, and fine-tuning, with a focus on applying them effectively to real-world business scenarios. Understand how to navigate constraints like cost, latency, and performance constraints in AI systems.

Master Applied Generative AI 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

Participate in brainstorming sessions and team huddles to approach hypothetical business problems. Learn to identify the right AI solutions for specific use cases, leveraging low-code options where applicable.

Tackle Business Use-Cases with AI

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
 

You’ll design and demo a solution for a hypothetical business problem, integrating insights from relevant research papers in my curated list, hand-picked for enterprise relevance. This project will also involve addressing challenges and evaluation methods.

Final Capstone Project
 

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

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

What makes our course the most holistic Applied AI program out there?

Senior Vice President of Strategy (AI), Hitachi Digital

Senior Software Engineer, Clear Aspect Solutions

Senior Director of Engineering, BlackLine

Gen AI Digital Strategy Leader, Hitachi Energy

What people are saying

LinkedIn Shoutouts From Past Cohort Members!

Other praise on assignments/lectures

Our alumni come from

Meet your instructor

Recorded Lectures, Weekly Office Hours, Live Guest Lectures, Team Workshops and Live Chai &amp; AI Sessions

Weekly projects

Course schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

You’ll be interacting with other learners through breakout rooms and project teams

Interactive and project-based

Join a community of like-minded people who want to learn and grow alongside you

Course completed by

About this course

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