Faisal Abid

AI Development for Junior Engineers

League

Shopistry

Vendasta

Rakuten

BrainStation

Founder at Interstellar Labs (Head of AI  Bitstrapped, Google Developer Expert)

Learn how to configure Cursor, Claude Code, and your terminal to create a productive, AI-augmented workflow.

Set Up Your AI-First Dev Environment

Understand when to use Claude, GPT-4, or others based on real engineering tasks—not just vibes.

Choose the Right Model for the Right Job

Go beyond “try this” prompting. Learn techniques that generate secure, maintainable, and context-aware code.

Prompting That Works

Get best practices for using LLMs safely—from API design to data privacy—so your code can go to prod, not just the demo.

Write Secure, Scalable Software with AI

Use ChatGPT and Gemini deep research search tools, and technical resources to uncover the best solution.

Solve Problems with Deep Research

🧑‍💻 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. ------ 🌍 **EXPANDED CAPACITY AND INTERNATIONAL TIME ZONES FOR COHORT 7** Section 01: Live Sessions are Tuesday/Thursday 7-9 PM Eastern Time (ET), led by Dr. Greg &amp; The WizSection 02: Live Sessions are Tuesday/Thursday 7-9 PM Central European Time (CET), let by International Instructors Let us know which section you're applying for in your application! **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]- 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

Tuesdays at 10 AM PT: For International (EMEA) students, a Certified AI Engineer will hold weekly 60-minute deep dive sessions!

International-Friendly Weekly Deep Dive Sessions

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 🏗️🚢🚀.

AIE6

"Dr. Greg" Loughnane

Co-Founder & CEO @ AI Makerspace

Chris "The Wiz 🪄" Alexiuk

Co-Founder & CTO @ AI Makerspace

AIE5

Cohort 7

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

March 2025 Cohort

May Cohort

The challenge: most people do not understand the reasons why products like ChatGPT, Claude, or Cursor respond the way they do. Because of this, they also don't understand how to get what they want and need out of AI tools. Even power users who constantly talk to AI products every day aren't necessarily getting everything out of it. And as the world of work and productivity change, as AI becomes ever more agentic and capable of taking over our systems, processes, and tasks, it is essential to become excellent at its use to get and stay ahead. Every user needs to understand not just "prompt engineering," as you've heard described elsewhere.It's more fundamental than that. It's...• An understanding of how modern language models are influenced by even the slightest change to your prompt• The nuances of how different tools are 'packaged' (using ChatGPT is very different from using GPT-4.5 integrated in a third party product)• The incredible power of reflective techniques – the best outputs are 5 to 7 messages after your initial prompt This 3-day intensive will cover the above, and so much more, with the outcome of getting you to become fluent in talking to AI systems, including large language models and other generative AI modalities (like image &amp; video generation). And when I say "fluent," I mean something very specific. Just as language fluency isn't about memorizing phrases from a travel guidebook, AI fluency isn't about collecting prompts from Twitter. True fluency means understanding the deeper patterns of interaction -- knowing when to push, when to pivot, and most importantly, why. Consider this: most courses teach you what to say to AI. This course teaches you how to think about AI conversation. It's the difference between learning to order coffee in French versus understanding why French speakers structure their thoughts the way they do. We'll cover:• How to consistently and easily judge new models as they're released for task-specific competence• Nuances between reasoning, agentic, task-based, and primitive models• Current power rankings based on real-world application (not biased evals) We'll play with advanced uses of:• Foundational SOTA models, like GPT 4.5, o3, 4o-mini, Gemini 2.5 Pro, Grok 3, Claude Sonnet 3.7• Open source models like Llama 4 and DeepSeek-V3• Agentic tools like Replit, Manus, GenSpark, and Devin• Wrapper tools like Gamma, Napkin, and Perplexity• My cheat code apps to 10x your workflow, both in ease and speed I'll share my theory on the future of work.And the OSD Framework I've developed to help people get ahead of the curve.You'll learn about the 3 core muscles I believe every job will distill down to:• Orchestration, the architect of AI-enabled systems• Supervision, the human-in-the-loop steering or polishing outputs• Delivery, the last-mile getting AI value to its end-user Day 1Mental Models &amp; Mechanics• What AI knows versus what it can do; how AI reads, thinks, and speaks, + biases and limits• The hidden landscape of latent space, embeddings, and vectors - what does it all mean for your usage?• Differences in AI paradigms, LLM models, genAI models, and the applications that sit on top of them Day 2Conversations &amp; Debugging• Ask the unaskable: form questions that inspire LLMs to answer you; learn the DRIVE context framework• Use layered prompting and multi-turn conversations for your most advanced queries and topics• Get AI to "think out loud," giving you more data, more insights, and the ability to iterate over time Day 3Advanced Applications• Use reflective and agentic techniques + products to get AI "working for you" - soon, you'll have a team• Get multi-modal - combine models, model types, and apps to generate fast, impactful outputs• Learn how to use non-AI workflow applications to move dramatically faster and make advanced AI use 10x easier for yourself• &amp; more: analysis, tools, fine-tuning, hallucinations, ethical considerations, and real world use And more• retrieval augmented generation (RAG), code use, integration + extensions, voice-based nuances• chain of thought, reflection, context windows, and other AI concepts explained• how do apps make use of LLMs, how is AI being integrated by companies across tech At the end of this 3-day intensive, you'll...• be able to transform vague ideas into incredible outputs, whether you're brainstorming, working with data and statistics, coding with AI, using it for workflow, asking it knowledge questions, utilizing it for research, adopting it as a content companion, or using it in an academic setting• troubleshoot and debug AI responses - you'll know when you've hit a real limit versus a bug or user error, unlocking the boundaries of what AI can do before anyone else -- no matter the field you're in• future-proof your skills - because you're going to have a deep understanding of how these products work, you'll remain capable of using them as the models are continuously updated and evolved, even as the rapid pace of AI development continues It's about harnessing the power of this transformative technology to amplify your own creativity, productivity, and impact on the world. Get ready to go beyond "prompt engineering" and embark on a journey to truly master the art and science of communicating with AI. Are you ready to unlock the conversation?

Everything's changing. Become top 0.5% at using AI to future-proof yourself.

3 days of live classes

Can't make it to the live classes or want to watch them again later? We'll make each day's content available same-day for all students.

Access recordings forever

There will be several projects and optional group workshops to turn the content into usable muscle - attend live for instructor feedback, or access projects, examples, and templates at your own pace - including permanent access after the course ends.

Daily projects (optional)

Non-technical or semi-technical professionals (throughout knowledge work) looking to gain an upper hand in this AI moment.

Anyone who has felt the gap between AI's potential, what they hear about what it can do, and their ability to access the upside.

NOT for engineers who already use LLM copilots every day. NOT for people looking for quick prompt templates.

You'll learn about the cognitive architecture that underpins not just LLMs, but the way that products and apps are built around them. These patterns will work across AI models and will continue working as systems evolve.

Instead of AI prompt templates, learn conversational design patterns

It's hard for even the most AI-passionate people to integrate and reliably, consistency use AI products. I'll give you systems, shortcuts, and methods for making it second nature -- we'll build your AI muscle.

Instead of treating ChatGPT like a magic answer box, you'll make it a constant companion

"Why does it hallucinate here, but not there? When should I restart a conversation versus redirect it? Why does it sometimes forget what we just discussed? How does its sourcing work? When is more context good versus bad?" You'll know. And you'll know what to do next.

Instead of getting frustrated, you'll know how to iterate your way to results

You'll master the art of progressive refinement, building complex outputs and systems, and be able to leverage all of this to be top .5% in your field -- whether that's at work, with a hobby, with a side project, or with something personal.

Instead of being left behind, you'll get and stay ahead of the AI curve

Develop a foundational understanding of how AI & LLMs see, hear, and read your input, + how to use them to 10x your output speed and impact.

Sherveen Mashayekhi

Founder & CEO @ Free Agency; Product Leader @ Stella (AI job matching), Toptal

Cohort 2

Cohort 4

You’ll gain a proven process to integrate AI effectively and responsibility —so you stay competitive, relevant, and indispensable. Why this course is different 1. Most AI courses are tech-centric and overwhelming you with jargon. I take a human-centric approach - using everyday approachable language 2. To truly learn to leverage AI to its fullest potential; you need to shift the way you think about getting work done.From manual "Human using predicable tools", to "Human+AI collaboratively working together towards a shared goal" That requires more than just new skills - you need new ways of thinking and new micro-habits .and the ability to adapt the way you work. EVERY Week You Get : - 1-2 focused e-learning modules that build practical skills at your pace.- 1 new mental model that transform how you think about AI and makes applying learnings 10x more effective- 1 new micro-habit to practice that make AI integration more natural- Live group coaching session - live help sessions where you can ask for specific feedback and get expert help to apply your learnings. This course has been designed to reduce the friction of learning to adapt to AI driven ways of work, as well as boosters to accelerate your learning journey. BONUS BOOSTERS- Create Your AI Writing Assistant: A CustomGPT that writes exactly like you (but faster)- Create Your Personal AI Guide: A detailed guide based on your specific job role, your industry &amp; your tool stack - including starter prompts

Gain confidence & skills in using Generative AI to improve efficiency at work

Its your chance to get your questions answered by expert. You are welcome to share screen and talk through challenge in an AI tool if you like. This is recurring every Thursday at same time (check times for your timezones)

1hr  AI Group Coaching Session

Operations staff in corporates or agencies

Small Business Owners in non-regulated industries

Non-Technical employees looking to remain relevant

Know what AI can do and how you can use them to get different tasks done

Understand what AI core capabilities 

Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.

Ability to select the right AI tools for the right tasks

Effective prompting requires <ul><li>Good initial prompts</li><li>Good follow up prompts</li><li>Good feedback </li><li>Ability to validate AI outputs to check for bias and fact-check</li></ul>

Rapidly improve your prompting AI so you can get quality output consistently.

Learn to minimise risks and use AI responsibility.

<ul><li>Learn to combining multiple AI tools to create end-to-end workflows. </li><li>Learn risk and how to minimise them</li><li>Learn to make data-informed but emotionally intelligent decisions</li><li>Learn to adapt your ways of working enabling you continue to adapt as the technology does. </li></ul>

Future-proof your career with AI expertise that matters.

Gain the skills every employer is looking for NOW - and in the future 

Lightning Lessons

AI Development for Junior Engineers