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FIND YOUR COHORT
HUMAN-LED. HANDS-ON. BUILT FOR WHAT’S NEXT.13 WEEKS + YOUR NEXT CHAPTER

MAKE AIYOUR SUPERPOWER.

From “what if” to “I built this.”
Build AI applications with live instructor-led classes, cohort recordings and feedback on your work.

LET’S BUILD
CREATE SHIP IT
YOUR NEXT
CHAPTER STARTS HERE
01 / LESS WATCHING. MORE MAKING.IDEAS → EXPERIMENTS → REAL APPLICATIONS

BIG IDEAS.
REAL BUILDS.

MAKE KNOWLEDGE USEFUL

Documents in.
Answers out.

Build a document Q&A system with retrieval, context and sources.

RAG + EMBEDDINGS
YOUR NEXT AI PROJECT
Built by you.PROJECT CONCEPT
01 Understand the request
02 Connect the right tools
03 Turn a plan into action
EXPLORE YOUR BUILD PATH
MAKE THE TOOLS WORK TOGETHER

A little more
agentic.

Build systems that plan, call tools and execute a workflow.

AGENTS + MCP + LANGGRAPH
02 / ONE CLEAR PATH13 WEEKS · LIVE & INSTRUCTOR-LED

LEVEL UP.
WEEK BY WEEK.

13 weeks. Four chapters.
Learn the foundations, connect the pieces, and finish with an AI product of your own.

WEEKS 01–04

Speak the language of AI.

Understand LLMs, learn Python, get comfortable with GitHub and make your prompts work harder.

CHOOSE YOUR COHORT
  1. 01

    Foundations of LLMs and AI Thinking

    Create an LLM behavior analysis report with examples

  2. 02

    Python for AI Development

    Build a CLI-based AI assistant using an API

  3. 03

    GitHub and Developer Workflow

    Publish the Python AI assistant on GitHub with a README

  4. 04

    Advanced Prompt Engineering

    Build a multi-role AI assistant: teacher, reviewer and critic

03 / WEEK 14+ · JOB INTELLIGENCEYOUR SKILLS DESERVE A DESTINATION

BUILD FOR
YOUR NEXT MOVE.

Your dream company.
A project built for their world.

A year of GiraffyReach job-description research helps shape your next chapter: target-company context, tailored MVP directions and hiring-manager contacts.

15TARGET
COMPANIES
15TAILORED MVP
BLUEPRINTS
Hiring-manager contacts.
A focused project pitch.

Research informs project direction; interviews and offers depend on employer decisions.

04 / YOU DON’T HAVE TO BUILD ALONELEARN TOGETHER. GO FURTHER.
HUMAN
LED.

YOUR PEOPLE.
YOUR PACE
FORWARD.

Learn directly from instructors in live classes. Ask questions, work through practical labs and get feedback as you build.

  • Instructor-led live classes on a clear weekly schedule
  • Rewatch your cohort’s published session recordings
  • Projects, resources and instructor feedback
SEE YOUR STUDENT EXPERIENCE
YOUR LEARNING, IN ONE PLACE

Live guidance.
Work you can show.

Learn with an instructor

Join live classes, ask questions and get help with your weekly builds. Revisit published recordings during your cohort’s access period.

Build a practical portfolio

Create a document Q&A system, agents and workflows, then finish with a capstone, GitHub repository and live demo.

Keep your progress together

After payment, your student portal brings together your cohort schedule, curriculum, resources, projects, feedback and recordings.

EXPERIENCE + AI SKILLS

Years matter.
What you can do with AI matters too.

A professional with two years of experience who can use AI effectively can outperform a ten-year veteran on some tasks. The advantage comes from choosing the right tools, checking their output and applying domain judgment—not from years alone.

Build that capability through practice: automate repetitive work, prototype ideas and explain the systems you create.

YOUR COHORT. YOUR NEXT CHAPTER.SELECT → REGISTER → PAY SECURELY

Choose your cohort.
Start building.

One-time enrollment. Live instruction, practical projects, your cohort’s recordings and Week 14+ career direction.

Finding your next available cohort…

What happens next?

  1. 01Pay securely and receive your enrollment confirmation.
  2. 02Sign in with your enrollment email using a secure email link.
  3. 03Open your cohort’s curriculum, session schedule, projects and published recordings.
GOOD QUESTIONS.

LET’S
CLEAR IT UP.

Who is this for?

Engineers, analysts, product professionals and career changers who are comfortable with basic programming. No machine-learning background is required. Plan for live classes and independent project work; check your selected cohort’s schedule.

Is this a live course or a recording library?

It is a live, instructor-led cohort. Recordings let you review sessions you missed or want to revisit; they are available only to enrolled students in that cohort during its access period.

What happens after I pay?

Stripe confirms your payment. We confirm your seat and email the address you enrolled with. Use that email to request a secure sign-in link to your student portal, where published content for your cohort becomes available.

What will I learn?

The 13-week course covers LLM foundations, Python, GitHub, prompting, RAG, memory, agents, MCP, LangGraph, UI development and production practices. You finish with a capstone.

What happens after Week 13?

Week 14+ is the Job Intelligence phase: 15 target-company briefs, 15 tailored MVP blueprints and hiring-manager contacts to help you share relevant work.

Can I watch a session again?

Published recordings are available to enrolled students in their own cohort, alongside the cohort schedule and learning resources.

How do I choose my cohort?

Choose a cohort in the registration section on this page. Review its dates, timezone, fee and recording-access period, then enter your details and pay securely through Stripe.

YOUR NEXT CHAPTER ISN’T GOING TO BUILD ITSELF.

LET’S
MAKE IT
HAPPEN.

FIND YOUR COHORT