“Please consider
my application.”
Resume attached ↗Application submitted ↗Waiting for a response …
Your experience is described.
Your work is still out of sight.
LIVE, HUMAN-LED AI LEARNING13 weeks.
13 weeks.
Learn AI.
Build your proof.
Learn to build AI applications, agents, and workflows. Then take on 15 tailored project blueprints for 15 target companies—and pitch hiring managers with work they can explore, beyond a resume.
Show me my AI journey ↗✳ 13-week course → Week 14+ company-project pathway.
13 WEEKS OF LEARNING. A PORTFOLIO WITH DIRECTION.↓
LEARN → BUILD → TARGET → PRESENT
your-next-move / project
YOUR GIRAFFY ACADEMY JOURNEY
Skills.
Projects.
Proof.
01 learn(13_weeks)02 target(15_companies)03 present(your_projects)
CAPSTONE → 15 BLUEPRINTS → COMPANY PITCHES
⌘ 13 weeks · live learning
✓ A deployed capstone
↗ 15 project blueprints
GIRAFFY ACADEMY.
LEARN IT. BUILD IT. SHOW IT.
LEARN IT. BUILD IT. SHOW IT.
13 WEEKS OF AI ✳ 15 COMPANY PROJECT BLUEPRINTS ✳ A PORTFOLIO WITH PURPOSE ✳ PITCH WITH PROOF ✳ 13 WEEKS OF AI ✳ 15 COMPANY PROJECT BLUEPRINTS ✳ A PORTFOLIO WITH PURPOSE ✳ PITCH WITH PROOF ✳
01 / CHANGE THE INTRODUCTIONGive your skills something concrete to say.
Another application.
Or something they can open.
Instead of relying only on claims in a resume, build a focused project that connects to a company you care about.
“Please consider
“I built this with
your team in mind.”
A relevant working project ✓Your process and decisions ✓A demo, a repo, a request to talk ↗
Something tangible to explore.
Something specific to discuss.
This approach can complement your job search. Hiring decisions, replies, and interviews remain with employers.
Learn it step by step.
Build it week by week.
A human-led AI course that connects each concept to a practical deliverable. Start with how LLMs work. Finish with an integrated application, a GitHub repository, and a live capstone demo.
Foundations
LLMs, Python, GitHub, and prompting.
Knowledge & memory
RAG, retrieval quality, and stateful systems.
Agents & workflows
Planning, MCP tools, and LangGraph.
Production & capstone
Interfaces, deployment, and an integrated AI app.
01Foundations of LLMs and AI Thinking+
AI vs ML vs LLM · Tokens and tokenization · Parameters and scaling · Next-token prediction · Prompt basics · Hallucinations and limitations · Real-world applications
YOUR DELIVERABLECreate an LLM behavior analysis report with examples
Tools: ChatGPT; tokenizer tools
02Python for AI Development+
Lists and dictionaries · Control flow · Functions · JSON handling · API calls · File handling
YOUR DELIVERABLEBuild a CLI-based AI assistant using an API
Tools: Python; VS Code
03GitHub and Developer Workflow+
Git basics · Repo structure · Commit and push · Branching basics · README writing · Version control best practices
YOUR DELIVERABLEPublish the Python AI assistant on GitHub with a README
Tools: Git; GitHub
04Advanced Prompt Engineering+
Role prompting · System prompts · Few-shot learning · Structured outputs · Prompt debugging · Prompt patterns
YOUR DELIVERABLEBuild a multi-role AI assistant: teacher, reviewer and critic
Tools: OpenAI API
05RAG Fundamentals+
Embeddings · Vector databases · Retrieval vs generation · Chunking basics
YOUR DELIVERABLEBuild a document Q&A system
Tools: LangChain; FAISS
06Advanced RAG Systems+
Chunking strategies · Metadata filtering · Hybrid search · RAG optimization
YOUR DELIVERABLEBuild a domain expert bot
Tools: LangChain
07Memory and Stateful Systems+
Short-term memory · Long-term memory · State management · Conversation tracking
YOUR DELIVERABLEBuild a chatbot with memory retention
Tools: LangChain Memory
08Agentic Thinking and Planning+
Agents vs chatbots · Task decomposition · Planning loops · Tool usage logic
YOUR DELIVERABLEBuild an AI planning assistant for trips or tasks
Tools: LangChain Agents
09Model Context Protocol (MCP)+
MCP fundamentals · Tool abstraction · Context sharing · Multi-tool orchestration
YOUR DELIVERABLEBuild a multi-tool agent: calculator, search and file reader
Tools: MCP SDK
10LangGraph and Workflow Systems+
Graph-based execution · Nodes and edges · Deterministic workflows · Agent orchestration
YOUR DELIVERABLEBuild a workflow-driven AI system
Tools: LangGraph
11UI Development and Integration+
Streamlit basics · API integration · UI/UX basics · Deployment basics
YOUR DELIVERABLEConvert a previous project into a web app
Tools: Streamlit
12Production-Ready AI Systems+
Logging · Error handling · Rate limiting · Cost optimization · Scaling basics
YOUR DELIVERABLEBuild a production-grade AI application
Tools: FastAPI
13Capstone Project+
System design · Architecture planning · Multi-component integration · Deployment · Presentation skills
YOUR DELIVERABLEComplete a capstone with GitHub repository and live demo
Tools: Full stack
WEEK 14 ONWARD / GIVE YOUR SKILLS A DESTINATIONFrom learning to targeted projects.
Your resume tells.
Your projects show.
After the 13-week course, continue into Job Intelligence: identify 15 target companies, receive 15 tailored MVP project blueprints, and use hiring-manager contacts to share the work you build.
15COMPANIES.
TAILORED PROJECT BLUEPRINTS.
DIFFERENT WAYS TO SHOW YOUR SKILLS.
TAILORED PROJECT BLUEPRINTS.
DIFFERENT WAYS TO SHOW YOUR SKILLS.
Choose 15 companies.
Give your next chapter a direction. Focus on companies and the kinds of technical problems you want to work on.
Work from 15 blueprints.
Turn tailored MVP briefs into projects you can demonstrate. Document the problem, your implementation, and the tradeoffs.
Show the relevant proof.
Use the hiring-manager contacts to share the project that fits that company, along with a demo, repository, and a clear request to talk.
↗
Ask about the 13-week + 15-project pathway ↗Build toward 15 company-focused projects—not just another resume.
The pathway provides 15 tailored blueprints. Completed projects depend on your work; they are not 15 ready-made applications delivered at graduation.
YOUR COMPANY-PROJECT PATHWAYLearn first. Build, target, and present next.
Prove it.
Then talk about it.
Choose your target companies
Choose the organizations you want to work with. Give your research a specific direction.
↗Understand their context
Use the company brief to investigate its technology, work, and possible project opportunities.
↗Build something focused
Create a relevant project with support. Aim for a clear, explainable result over unnecessary complexity.
↗Package the proof
Bring together your demo, repository, decisions, and a concise request for a conversation.
↗Be ready to explain it
If a conversation follows, walk through what you built, the tradeoffs, and what you would improve.
↗04 / GET IN EARLYYour next move
Your next move
could start
with proof.
Ask about the 13-week AI course and the 15-company project pathway. Leave your name and WhatsApp number so the Academy can help you understand the next step.
↗ Explore the weekly curriculum.↗ Ask about 15 tailored project blueprints.↗ No payment or reservation at this stage.
Prefer to ask a human on WhatsApp? ↗↗ Giraffy AcademyEARLY ACCESS
Let your work do the talking.
Start with your details.
THE PROGRAM, BEYOND EARLY ACCESSA concrete investment.
A concrete investment.
A practical focus.
The Academy’s waitlist advertises a $450 program price. Ask the team about cohort dates, current inclusions, and access to the Week 14+ project pathway before enrolling.
Review the live offer and details ↗ADVERTISED PROGRAM PRICE$450USD
13-week curriculum. Week 14+ project pathway.
The Academy also advertises $300 in cloud credits. Credits are not a cash refund; confirm eligibility, provider restrictions, and current terms before enrolling.
BEFORE YOU MAKE YOUR MOVEGood questions.
Good questions.
Straight answers.
What do I learn in the 13 weeks?
LLM foundations, Python, GitHub, advanced prompting, RAG, memory, agents, MCP, LangGraph, interfaces, and production practices. Week 13 brings these together in a deployed capstone with a repository and live demo.
Where do the 15 projects fit?
The official curriculum places this pathway at Week 14 onward. You identify 15 target companies and receive 15 tailored MVP project blueprints plus hiring-manager contacts. You build the projects from those briefs; the course does not hand you 15 finished applications.
How do I pitch a hiring manager?
Select the project relevant to that company. Share a concise introduction, the problem it addresses, a demo, your repository, and the decisions you made. Use it as proof of your work and ask for a conversation.
Do I send all 15 projects to every person?
Keep each introduction relevant. A portfolio can hold all your work, but an individual pitch should highlight the project most closely connected to that company.
Does this guarantee an interview or job?
No. Employers decide whether to review, respond, interview, or hire. The pathway helps you prepare relevant work and a concrete introduction.
How do I join?
Leave your details to express interest, or contact the Academy on WhatsApp to ask about availability, prerequisites, and program terms.
13 WEEKS TO LEARN. 15 BLUEPRINTS TO BUILD FROM.
Learn AI.
Show your proof.
I want early access ↗Build something worth talking about.