Goabiaryan

AI Careers in 2025+

O'Reilly Media

@Packtpub

Abi Aryan

Understand what it really means to be an AI Engineer, LLMOps Engineer, Data Engineer, GPU Engineer/Solutions Architect

The 4 key roles emerging in LLMOps

Whether you’re from software, ML, hardware, or product—see where you fit in.

How to map your background to the right role

Learn what actually matters to land these roles in 2025+

How to position yourself without a PhD or FAANG badge

Get a no-fluff breakdown of the tools and stacks that matter in production- not just demos.

What to learn and what to ignore, if you're making a move

🧑‍💻 ON CODING AS AN AI ENGINEER- Do you code every day?- If not, are you committed to coding every day as an AI Engineer? If the answer to both of these questions is "No," this class is not for you. 💼 ON LEADING AI ENGINEERING TEAMS- Do you manage a team of people that writes code every day? If "Yes," this class might be for them. ------ **KEY CURRICULUM UPDATES FOR COHORT 7** 🔴 [Deprecated]- Classic LangChain RAG Chains (in favor of most up-to-date LangGraph implementation)- Fine-Tuning of LLMs &amp; Embedding Models (we now consider these techniques table stakes ... learn LLM Engineering for free @ bit.ly/llm-engineering)- Chainlit for Front Ends (no longer a best-practice tool for creating front-ends)- Hugging Face Spaces (no longer a best-practice deployment tool for quick POCs)- Hugging Face Inference Endpoints (no longer the easiest way to deploy high performance open LLMs and embedding models endpoints) 🟢 [New Additions]- A custom AI Makerspace MCP server integrated into Cursor that has all of the docs and tools that we'll use in the course!- Model Context Protocol (MCP) &amp; Agent2Agent Protocol (A2A)- Vercel for quick end-to-end POC deployments- Together.ai for quick deployment of Llama-3.3-70B-Instruct-Turbo and open embedding endpoints- A focus on vibe-coded custom front ends with React (or other) framework- OpenAI Agents SDK (released March 2025)- Code agents with Hugging Face's Smol Agents Framework (released ~Jan 2025)- CLI Coding Agents with Codex (released April 2025)- Computer Use Agents with OpenAI's Responses API (released March 2025) ------ OUR COMMUNITY🏗️ 🚢🚀 AI Makerspace is on a mission to create the world's leading community for people who want to build, ship, and share production LLM applications. Welcome! We invite you to join our close-knit AI Makerspace community on YouTube (learn live weekly with us for free at 10 AM PT on Wednesdays!) or Discord to start building, shipping, and sharing with us today! https://aimakerspace.io/ OUR COURSEThe AIE Bootcamp is truly a bootcamp. It's hard. It's a grind. But it will transform you! It will get you comfortable thriving at "The LLM Edge" and beyond. Our students don't just learn; they transform! Plus, every cohort culminates in a live Demo Day experience! Many of our graduates have launched entirely new startups based on their demo day presentations! To hear our student's stories and for a quick glance at all the tools you'll master, check out the following link now! https://aimakerspace.io/the-ai-engineering-bootcamp/ OUR ETHOSBuild 🏗️, Ship 🚢, Share 🚀! This is the secret to success in a 21st-century workforce, and you will live this every class, every week of the cohort! 🧑‍🤝‍🧑 Specifically, you will get hands-on experience building and sharing complex LLM and agentic applications weekly, receiving constant feedback during live sessions and through your homework submissions via instructors, peer supporters, and your fellow cohort members. 🙋 WHAT ARE THE PREREQUISITESYou must be familiar with Python programming, prompt engineering, and data science. Learn more about prerequisites here: https://bit.ly/aie7-prereqs 🙋 How will I know if it's right for me? If you're unsure if this course be a fit for you, you'll find tons of resources on this page to help you decide, including: 📜 Curriculum &amp; Detailed Schedule: https://bit.ly/aie7-curr🤩 Demo Day Videos (from cohort 5): https://bit.ly/aie5-demos🎤 Student Interview Videos: https://aimakerspace.io/category/transformations/ Here are a few long-form pieces of writing about the student experience:- Richard Gower, Cohort 3: https://bit.ly/aie-cohort-3-reflections- Ches Roldan's "20 Tips to Survive AI Makerspace’s AI Engineering Bootcamp (as a non-technical person)": https://bit.ly/aie-20tips 💰 How much do the tools cost? Don't worry! This course is for the GPU-poor among us! This course adapts to industry-standard open-source software and compute hardware and is cloud platform agnostic. We strive to keep your additional costs low (below ~$100 total). Check Q&amp;A for more info!** WHO HAS TAKEN THIS COURSESince its launch in January 2024, over 250 people have taken the course! The most successful participants have been Software Engineers and Developers or Data Scientists and Machine Learning/AI Specialists, indicating a focus on analytics, modeling, and artificial intelligence. Here is a list of companies whose employees have already taken the course: Google, Meta, Microsoft, Amazon, Samsung, Salesforce, IBM, Oracle, Bloomberg, Deloitte, Atlassian, SAP, Infosys, ServiceNow, Shopify, NetApp, Autodesk, Jio Platforms, JP Morgan Chase (JPMC), Walmart, Chevron, Expedia, NTT Data, Ernst &amp; Young, Fannie Mae, National Grid, State Farm, USAA, BMO, TD Bank, Mercer, Kiewit, BP, CVS, Safran, Appian The most important thing for anyone taking the course is to take it seriously. This advanced course requires commitment, debugging, resilience, and tenacity. These personal attributes matter much more than your current company or job title. Whether you're coming from a software engineering or data science background, to be a world-class AI Engineer, you'll need to know both. This class will teach you the lego blocks of building production-grade LLM applications software as an AI-Assisted Developer. This is where your journey begins! WHAT STUDENTS (REALLY) SAID ABOUT COHORT 5:We collect feedback every single class. Here is an analysis of the 160 pieces of feedback that we received on the question "Is there anything else you'd like to share with us?" that we asked at the end of each of the 20 live sessions, completed by ChatGPT with the o1 model in April, 2025. Highly Positive Themes- Students repeatedly praise the instructors’ expertise and clarity.- Many love the breakout rooms, citing them as a key differentiator from other courses.- There is strong enthusiasm about practical coding sessions, community support, and peer supporters.- Several comments mention that they are already deploying real applications and seeing immediate value, which is a significant selling point for future students. Neutral or Constructive Feedback- A few suggestions for improving logistics (e.g., link consistency, environment setup, more thorough instructions).- Requests for additional examples and smaller breakout groups.- A handful of people struggled with first-class onboarding or missed classes due to personal constraints. Negative or Dissatisfied Feedback- Some frustration around external tool links (Discord, GitHub) not working seamlessly.- Occasional complaints about environment setup challenges.- A single extended critique about missing the first day and feeling lost initially, but that student did eventually get on track. We are always working to improve our product, our student experience, and our processes! You can count on the fact that we've taken the feedback into account for Cohort 6 and beyond! Here were the top 10 direct quotes: 1. “One of the best lessons I’ve ever had. The instructor’s level of expertise is high and his communication is extremely easy to understand. I have grasped all the concepts.”2. “This session was pure gold, seeing actual applications, really nice!”3. “I am having lots of fun and learning. LOVE THE ENERGY! Let’s go.”4. “The breakout rooms are absolutely fantastic. Peer Supporters are bae.”5. “The breakout rooms are just so good – easily sets it apart from 90% of other courses out there.”6. “It was a great session today. Super helpful and getting clearer. Amazing job everyone. Love this!!!!”7. “I have deployed and built a number of applications right from the first sessions of the course. Knowledge also helps me in self-study and research.”8/ “This class was worth every dollar, thank you guys!”9. “Thank you for an amazing ride! &lt;3”10. “I complained last time about the breakout rooms not being long enough and the lectures being too long. This time I think the ratio was GLORIOUS PERFECTION!”

Prototype agent apps and get them into Production. Ship fast and keep data safe.

Course syllabus

<ul><li>W1: June 24th, 26th</li><li>W2: July 1st, 3rd</li><li>W3: July 8th, 10th</li><li>W4: July 15th, 17th</li><li>W5: July 22nd, 24th</li><li>W6: July 29th, 31st</li><li>W7: August 5th, 7th</li><li>W8: August 12th, 14th</li><li>W9: August 19th, 21st</li><li>W10: August 26th, 28th</li></ul> * All sessions are recorded!

Tuesdays & Thursdays

Each class period, we will get hands-on with Python coding homework!

Weekly Programming Projects

Open to the public - Friends, family, coworkers, and bosses welcome! <a href="https://www.youtube.com/playlist?list=PLrSHiQgy4VjGG6wvPyIPoBnH2iqjtLY68" rel="noopener noreferrer" target="_blank">AIE5 Demo Day YouTube Playlist</a><a href="https://www.linkedin.com/events/7305318024528478208/comments/" rel="noopener noreferrer" target="_blank">AIE5 Demo Day Event</a><a href="https://www.notion.so/AIE5-Demo-Day-Run-of-Show-1b5cd547af3d805e8bb7d049413ee129" rel="noopener noreferrer" target="_blank">AIE5 Demo Day Run of Show</a>

Demo Day!

Dr. Greg: Thursdays @ 10 AM PTThe Wiz 🪄: Fridays @ 3 PM PT

Instructor Office Hours

We typically cover 6-7 days per week with 1 or more office hours held by peer supporters!

Peer Supporter Office Hours

Course schedule

Software engineers and developers who want to build, deploy, operate, and improve LLM apps in production environments.

Data scientists and ML engineers/specialists who want to build, deploy, operate, and improve LLM apps in production environments.

Who is this course for

What you’ll get out of this course

A vibe coder won't take your job. An AI-assisted developer will.

🧑‍💻 Become an AI-Assisted Developer

Work with certified AI Engineers in dedicated small Journey groups to discuss and code throughout the cohort!

🧑‍🤝‍🧑 Peer-Supported Live Coding

You will present a unique project live to a cohort of your peers and the public!

🤩 Demo Day!

We're always at <a href="https://newsletter.aimakerspace.io/" rel="noopener noreferrer" target="_blank">The LLM Edge</a>&nbsp; with the latest concepts, code, tools, techniques, and best practices!

🕴️ industry Leading Curriculum

Certified AI Engineers get direct access to job opportunities from our network

💼 Hiring Opportunities

Become an AI Engineer in the world's leading community for people who want to build, ship, and share production LLM applications 🏗️🚢🚀.

Cohort 7

"Dr. Greg" Loughnane

Co-Founder & CEO @ AI Makerspace

Chris "The Wiz 🪄" Alexiuk

Co-Founder & CTO @ AI Makerspace

AIE6

Cohort 8

If you're like many ambitious professionals, you're not new to AI. You use the tools, follow the news, and see the potential. Yet, you feel a persistent gap between your current usage and what's truly possible. You probably recognize these challenges: 1. Your AI usage feels ad-hoc. You can write impressive prompts and accomplish isolated tasks, but you lack a systematic way to build reliable, scalable solutions that integrate into complex workflows. You see impressive demos online but don't have a clear path to building them yourself. 2. You're struggling to distinguish signal from noise. The relentless stream of new models, research papers, and "ultimate guides" is impossible to keep up with. You worry that you're investing time in learning skills and tools that will become obsolete in a few months. You need a way to identify the foundational principles that last. 3. You see a massive career opportunity but aren't sure how to seize it. You don't just want to be a user of AI; you want to be the person who can confidently lead projects, architect solutions, and guide your team. You want to become the go-to expert, but you need a structured path to get there. If this sounds familiar, it's because you've moved beyond the beginner stage. You're ready to tackle the next set of challenges, and that is precisely where our course begins. It is built on a single yet prfound premise: the most effective way to master AI is to build with it. We teach you how to create practical applications and then connect them to the underlying research. This ensures you not only know how to build, but why your solutions work, allowing you to adapt to any new tool or model in the future. More importantly, building with AI energizes you to keep learning, develops your taste, and enables you to seize opportunities. What You Will Be Able to DoThis course is about acquiring practical capabilities. By the end of this course, you will be able to: 1. Build and Deploy Functional AI Prototypes You will move from ad-hoc prompting to engineering reliable systems. You will learn to write code that integrates LLMs with other tools and data sources to solve real-world problems. Specifically:- Build a Q&amp;A bot over your own documents (e.g., Confluence, internal wikis) using AI native methods beyond RAG.- Create automated workflows, such as generating a weekly summary report from Jira tickets or processing inbound emails.- Connect AI to external tools and APIs to perform actions, moving beyond simple text generation.- Evaluate, debug and improve the output of LLMs in a systematic way. 2. Develop a Durable Framework for Learning New Concepts You will learn how to distinguish between temporary trends and fundamental principles. This will enable you to learn effectively, cut through the noise, and focus on what truly matters. Specifically:- Understand the core mechanics of LLMs, such as context windows and attention, and how they impact performance.- Confidently assess new AI models, papers, and tools to determine their actual value for your work.- Develop a first-principles approach to prompt engineering, moving beyond simple templates.Identify the inherent limitations of current AI (e.g., hallucination, reasoning failures) and design systems to mitigate them. 3. Become the Go-To AI Strategist in Your Role You will gain the confidence and clarity to lead. This course provides the structure to not only enhance your own work but also to guide your team and organization. Specifically:- Identify and scope high-value AI opportunities within your own business workflow.- Lead an AI project from an idea to a working prototype.- Clearly articulate the capabilities, costs, and limitations of a proposed GenAI solution to stakeholders.- Establish best practices for integrating AI into your team's existing processes. How You Will Learn: A System for MasteryOur course is a comprehensive system designed for deep, practical learning. It combines live instruction, hands-on application, and an extensive knowledge base to ensure you can build with confidence. 1. Live Sessions: The Core Framework Your learning is anchored by four hours of live sessions. These sessions are not about a collection of tricks; they are designed to give you a durable mental framework. We distill the most critical information on how AI works, teach you how to learn effectively in this rapidly changing field, and provide concrete principles to guide you from your first line of code to a functional application. The goal is to equip you to push through challenges and build with sound judgment. 2. Projects &amp; Office Hours: Real-World Application Knowledge is solidified through hands-on projects and direct support. You will work on building applications relevant to your daily work, pushing past self-imposed limitations to see what is truly possible. In our office hours, we provide personalized guidance to unblock you and demonstrate advanced problem-solving in real-time. We use cutting-edge tools like Cursor and Claude Code to build solutions live, showing you how to leverage the most powerful development workflows available today. 3. Reference Materials: A Library for Builders Your learning is supported by an extensive library of original materials. Developed with over 300 hours of effort and spanning more than 200 pages, this resource is your detailed guide for independent building. It is continuously updated to stay current. When you encounter a specific problem weeks or months after the course, this library is designed to give you the concrete answers and guidance you need to solve it. Join a Professional Network of 5,000+ AI BuildersYour enrollment includes lifetime access to our private network. This is a community for sharing technical solutions, discussing new research, and advancing your career alongside other serious practitioners. The community has a dedicated Q&amp;A section and we will answer your questions there even after the cohort. Ready to Build?We recommend the immersive experience of our cohort-based course. A self-paced version is also available if your schedule requires flexibility at https://www.superlinear.academy/c/ai/. All Maven students receive complimentary access to the self-paced version, and lifetime update of new course materials. Who This Course Is Not ForWe are committed to transformative outcomes, which means being transparent about who will get the most value from this demanding program. This course may not be the right fit if: 1. You are completely new to programming. This is not a 'learn to code' course. While you don’t need to be an expert developer, you should be comfortable with basic programming concepts and at least know how to install Python. Being completely new to programming also suggest that you job doesn't require automation, and it may not benefit much from AI. 2. You are looking for a passive, theoretical overview of AI. This is an intense, hands-on program that requires active building. Our methodology is centered on learning by doing. If your primary goal is to listen to lectures without writing code, you will not get the intended value. 3. You want to train a foundational model from scratch. This course teaches you how to build valuable applications with LLMs, not how to build the models themselves. When the web browser emerged, the great opportunity was to build websites, not competing browsers. We believe the same is true for AI today, and our focus is entirely on application. 4. You are looking for a list of "100 best prompts" or quick hacks. We focus on teaching the durable, first-principles understanding needed to build real applications. We do not teach temporary tricks even when they may be desired at times. 5. You cannot identify any problems you want to solve. The course teaches you how to build solutions. If you have no professional or personal context where you can apply these powerful new skills, the learning will remain abstract and you won't benefit from the core, practical value of the program.

The future is here, but unevenly distributed

Walkthrough building prototypes together. Learn their implications through LLM research and our technical insights.

Live Sessions

Content similar to the live sessions without the need for interactions. Fit your busy schedule and learn on your own pace.

Offline/Async Courses


Build your own GenAI solution for your particular use case. Apply the tools and mindsets learned in class

Weekly projects

Get feedback and coaching on your class project. Learn what other students have built.

Office hours

You are using AI, but feel like you can be much better at it. You want to apply AI to your daily work and actually boost productivity.

You want to understand what AI is, how to learn it well, and where it falls short—so you don’t waste time on things that won’t matter.

You want to become the go-to-expert in AI and capture this opportunity of a lifetime.

Go beyond basic tools. You'll learn to code and deploy functional prototypes land automated workflows using APIs, latest tools, and advanced frameworks.

Build Real-World AI Solutions, Not Just Prompts

Stop chasing fleeting trends. We teach you the core principles of LLMs so you can confidently evaluate new models and future-proof your skills.

A Lasting Framework to Navigate AI's Future

Learn to identify high-value opportunities, lead AI projects from idea to prototype, and clearly articulate strategy to your stakeholders.

Become the Go-To AI Expert on Your Team

The AI tool landscape is noisy. We save you hundreds of hours by rigorously testing the latest tools, showing you which ones work best for specific tasks in our live office hours and community Q&amp;A during and after the class.

Leverage the Best AI Tools, Vetted for You

Receive our 200+ page, continuously updated knowledge base. This is your go-to reference for solving building challenges long after the course ends. Join a community of 5,000+ like minded AI trailblazers.

A Lifetime Library and Community of Builder Knowledge

Stop chasing tricks. Master the durable skills and vetted tools to build real-world AI solutions.

Yuzheng Sun, PhD

Statsig.com Data Scientist | Ex Tencent Director | Ex Meta/Amazon/BCG | Tech channel with 200k+ subscribers and 5k+ paid members

Yan Wang, PhD

Applied Scientist @ Samsara | Olympic Torchbearer | Ex Pinterest/Microsoft | Ex Tech blogger with 100k+ subscribers

Cohort 9

Cohort 10

The world we all live in: AI skills are the #1 driver of your career trajectoryIn 2024 AI is not optional—it's a requirement regardless of the job. But AI is moving so fast that many of us feel on the verge of being left behind. Which model is best at which task? When do I switch models when they come out every week? This isn't just another tech trend. Missing out on AI fluency has career-altering consequences. Longer job searches. Delayed promotions. And soon we'll start seeing vague statements about AI skills in the essential requirements of most tech jobs. But even though AI fluency is THE skill of the 21st century, no one has defined clearly what baseline AI skill expectations look like. The Challenge: Most of us are figuring out the most important skill of our professional lives on our own. How do you level up if you don't know what you're aiming at? That's why I created this course. I believe there are two critical career level-ups in 2024: 1) Understanding which human skills are AI durable and investing in them 2) Learning how to allocate work across human and artificial intelligence Your next ten years will be mostly shaped by these two factors. And this course is designed to make sure your next ten years are great ones by equipping you with the skills, baseline knowledge, and hands-on experience you need to get rolling. The GoalYou'll walk out of this course with more than just foundational knowledge of AI, an understanding of what different models can do, and hands-on skills applying models. You'll have spent time on your own durable human skills as well. You'll have discovered a sense of what you're good at that you can invest in as a human skill alongside evolving artificial intelligence. Ultimately, you'll walk out of this course with a personal toolkit to take you through the next decade with AI. How We'll Get There The AI Career Accelerator is an intensive 3-week program designed to supercharge your knowledge of your own durable skills, fast forward your AI proficiency, and get you going on your career goals—both at work today and for the next ten years. Hands-on Experience: Get practical skills with cutting-edge AI tools like Claude, Replit, Cursor, ChatPRD, ChatGPT, and Playground. Personal Skill Assessment: Figure out your own unique human skill fingerprint, and identify the parts of your skillset likely to remain durable even as AI grows more capable. Real-World Applications: Explore how AI is actually used in various industries and roles. Project-Based Learning: Develop an AI-powered project using a 'small bets' mindset, applying your new skills to real-world scenarios. Career Strategy: Put it all together with a career strategy that leverages both your human skills and a plan around how you want to leverage the skills you learn in class to keep growing as AI evolves. Stay Ahead: Master repeatable approaches to keeping up with AI developments and trends. What sets this course apart:First, what other course helps you figure out what you are good at as a person (that isn't changing in the age of AI) AND helps you level up AI fluency? Besides a laser focus on what really matters for your career, you'll get:1. Interactive live sessions with Nate2. Practical exercises in AI that go beyond theory3. A capstone project with personalized feedback4. A workable career plan in the age of AI5. Ongoing support through a dedicated Slack community Bonus: The Generalist AdvantageAs a hands-on mentor and coach, I've designed this course to stretch your skillset horizontally. My thesis is that generalists will thrive in the AI age, and this course is specifically designed so you develop a broader, more adaptable skill set that enables you to grow your career longterm. That means this course is for anyone in tech who's hungry to grow their AI skillset and multiply value at work and over the next decade. Here are a few examples: 1. Product managers can skill up on foundational AI tech and learn enough to begin using AI to help with PM tasks like customer sentiment analysis. 2. Engineers can figure out their own personal coding workflows in an experiment-friendly space (no prod code here) and develop a plan for growing their own human skillset over time. 3. Entrepreneurs can learn enough about AI foundational technologies to ensure they position products correctly, and get practice leveling up their own personal efficiency with AI. You get the idea! My goal is to get you to conviction and clarity on what you bring to the tech world, so you can develop your own personal thesis on how you add unique value in an AI-driven world. The world has never changed quicker, but hop in with me and let's figure out how to enjoy the ride!

Skill growth in the world of AI has fundamentally changed

Focus on understanding AI basics and dive into how AI is shaping the career landscape in 2025.

Lesson 1: AI Foundations and the 2025 Career Landscape

Understand real-world AI use-cases and dig into interactive modules focused on understanding how to build with the new rules of the AI landscape.

Lesson 2: Real World AI Use-Cases and Applications

Pick a project and start getting hands-on with building! Work in small groups and get feedback and support as you build.

Lesson 3: Hands-On AI Project Workshop

Use custom prompts and small group conversation to begin thinking through how your own career is changing in the light of AI—you'll leave with tools and confidence to accelerate your career with your new AI skills.

Lesson 4: Building an AI-Leveraged Career Plan

Show off your progress building with AI and get group feedback as well as feedback form Nate live!

Demo Day - Jan 23, 2025 

Close out the course with an optional AMA with Nate, reflecting on learnings and getting extra wisdom for the journey ahead.

AMA (Ask Me Anything) with Nate - Jan 31, 2025

Tech Professionals﻿Product Managers, Engineers, Data Scientists&nbsp;leading AI initiatives.&nbsp;UX/UI Designers&nbsp;exploring AI's impact on experience

Leaders &amp; Founders Tech Leaders&nbsp;guiding AI adoption.&nbsp;C-Suite execs&nbsp;building AI culture.&nbsp;Startup Founders&nbsp;integrating AI into products

Career Advancers Career Changers&nbsp;targeting tech and AI roles in product.&nbsp;Side-gig builders looking to build a 5-9 cashflow-generator

Master key AI tools like Claude, ChatGPT (including Strawberry/o1 model), Replit, and Cursor. Apply these in real-world scenarios to boost your productivity and problem-solving abilities. Develop a personalized AI workflow that you can take back to work right away.

Identify three personal AI quick wins that will level up your career and deepen your personal AI fluency, regardless of your expertise level

Understand AI architecture and foundational concepts in Large Language Models (LLMs). Learn how these shape tech applications in your field. Develop skills to identify and evaluate AI opportunities across various business contexts, so you max your career leverage over time.

Build a repeatable assessment that helps you track how LLMs and other AI technologies are sharpening your specific tech vertical

Grasp AI macro trends, including investment patterns, emerging opportunity spaces, and talent market shifts. Craft a personalized AI-era career plan. Learn to position yourself as an AI-fluent generalist with deep expertise to drive value today at work and over the next 10 years.

Define personal "talent bets" based on long-term AI trends and build a plan to leverage these to accelerate your tech career

Develop strategies to stay current with evolving AI technologies. Cultivate a mindset for ongoing adaptation and growth in the rapidly changing AI landscape. Develop a concrete plan to accelerate your career and differentiate yourself and your tech impact as a "1 of 1" player.

Outline a strong and specific strategy to build and maintain a 5-year edge in your career leveraging AI + next steps to grow over time

Dive deep into the architecture of AI systems, particularly LLMs. Gain insights into how these technologies are applied across different tech domains. Even if you're non-tech, you'll know how transformers work, how attention works, and what reasoning tokens are for. Stay sharp!

Understand AI architecture and foundational concepts in Large Language Models (LLMs) + how these shape tech applications

Survey a wide range of real-world AI use-cases to understand how others in tech are using AI to solve hard problems at work. Develop a radar to identify AI disruptions in your job family and industry, informing product development at work as well as your own career pathway.

Grasp AI macro trends, including investment trends, emerging AI opportunity spaces, shifts in startup development, and talent market changes

Develop hands-on AI build experience through a portfolio-worthy project using a "small bets" mindset. Go from concept to completion, demonstrating your ability to create AI-powered solutions. Gain practical AI use-case fluency to integrate AI into existing products and process.

Survey a wide range of real-world AI use-cases, so you understand how others in tech are using AI to solve hard problems

This course isn't for:<ul><li>AI-fluent engineers focused only on tech implementation</li><li>Those seeking in-depth coding or AI research training</li><li>Established AI leaders with set strategies</li><li>Quick-fix seekers without learning commitment</li><li>Professionals who are content and not hungry to grow</li></ul>

Who is this course NOT for?

Master AI tools, build real projects, and supercharge your career growth in just 3 weeks

Nate Jones

May Cohort

July Cohort

Leaders are remembered not just for their technical prowess but for the lasting impact they have on their team's careers and success. In an era where AI is transforming how teams work, the human side of leadership has never been more critical. This course equips both aspiring software engineering managers and experienced EMs alike with the essential interpersonal skills to amplify their influence and drive team performance. It leverages AI tools to enhance these fundamentally human leadership capabilities. Over 100 individual contributors (ICs) and EMs have already enhanced their leadership capabilities through this course. Join them and transform your approach to tech leadership for the AI era. -------- This interactive course will teach you how to solve 4 key problems faced by senior ICs and managers: 1️⃣ Identifying growth opportunities within your team and working with them to fill these missing areas—using both traditional mentoring approaches and AI-powered insights to personalize development plans 2️⃣ Communicating with clarity and impact with direct reports, peers, and upper management—enhanced with AI tools for message preparation, follow-up analysis, and communication refinement 3️⃣ Delivering constructive, actionable feedback that drives real improvement—using proven frameworks plus AI assistance for better situation analysis and delivery optimization 4️⃣ Balancing AI adoption with human needs by helping your team to navigate the challenges of AI integration while maintaining team trust and unity ------- For the duration of this course you'll receive: • 4 live sessions over 2 weeks hours over Zoom, with interactive lessons and breakout sessions• Hands-on learning by walking through case studies and real-life examples with your cohort• Templates and AI prompts you can immediately start using on the job• In-depth live Q&amp;A sessions to get immediate answers to your on-the-job questions• Recording and slides for future reference and review ------- Great leadership is more than just your title, it’s about supporting and growing the people around you. This is a course designed to give technical managers the skills and tools they need to become effective, influential leaders that can inspire teams as well as manage them. You’ve put in the hard work to get to management level, and on completing this course you’ll have the skills to prove yourself as a leader.

What makes a great engineering leader in the modern AI era?

Session 1: Become the leader your team needs<ul><li>Identifying the types of high performers on your team</li><li>Managing medium and low performers</li><li>Using AI to identify trends in performance</li></ul>

Tuesday, August 19

Session 2: Career development without the noise<ul><li>Breaking down the 1:1</li><li>Quarterly development planning for your team</li><li>Building an AI bot to help you write QDPs</li></ul>

Thursday, August 21


Session 3: Communicate like a leader<ul><li>Managing expectations with your team</li><li>Negotiating with your PM and EM peers</li><li>Managing up in your organization</li><li>How to use AI to assist in these conversations</li></ul>

Tuesday, August 26


Session 4: Feedback and conflict without the fear<ul><li>Reframing your own views of feedback</li><li>Tactical feedback delivery framework</li><li>Practicing giving feedback with AI</li><li>Feedback case study</li></ul>

Thursday, August 28


New and experienced managers looking to build the interpersonal skills required to succeed as a leader in the AI era

Technical managers who want to develop their team and build influence across their company while navigating AI adoption

Aspiring managers looking to lay the groundwork to create impact as an IC and future leader, preparing for an AI-transformed workplace

Who this course is for:

After taking this course, you'll be able to:

Your success as a leader is measured by your team's execution, and to execute well, you need a great team. Learn to identify strengths, empower growth, and navigate AI's impact on team dynamics.

Build and scale a high performing team

1:1s and performance reviews don't have to be stressful. Learn how to keep the feedback loop active by applying proven frameworks and AI tooling to conduct meaningful 1:1s and provide tactical, actionable feedback to your team on a regular cadence.

Conduct impactful 1:1s and development check-ins

From performance management to resource allocation, learn frameworks for tough calls while leveraging AI for better information gathering. We'll cover how to gather the right information, involve the right people, and confidently communicate decisions upward and downward.

Make difficult decisions with confidence

Learn how to give constructive feedback from a trained therapist! Master effective communication strategies for conflict resolution within your team to build influence within your organization. Discover how AI can help you prepare for conversations and follow up effectively.

Navigate challenging conversations with peers and direct reports

Balance AI advancement with human needs, ensuring your team thrives in an AI-augmented workplace. Learn to maintain psychological safety during change, help team members adapt their skills, and create an environment where both AI tools and human creativity can flourish.

Lead through AI transformation

Master essential people skills to transform from technical expert to impactful leader in today's AI-driven tech landscape.

Lightning Lessons

AI Careers in 2025+