AI Residency Cohort 9 — Zero to Pro in Generative AI (5 Months)
Details
Build real, portfolio-ready Generative AI applications with step-by-step mentoring, projects, and a structured curriculum designed for beginners and career switchers.
If you’ve been watching AI from the sidelines (or building scattered demos), this program gives you a clear pathway to go from basic Python + GenAI fundamentals to RAG, fine-tuning, agents, deployment, evaluation, and security—with projects you can showcase.
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### Meet Your Instructor
Mohammad Arshad is a globally recognized AI practitioner and mentor with nearly two decades of experience enabling organizations to monetize data and AI products. Since 2008, he has taught technical and non-technical audiences and has helped 3000+ professionals advance their careers through applied, project-based learning.
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### Who This Program Is For
- Beginners who want a structured, guided path into Generative AI
- Data/tech professionals upgrading into LLM + agentic systems
- Founders building an AI product (or adding GenAI to an existing product)
- Agency owners delivering GenAI solutions for clients
- Career switchers who want an employable portfolio and real project discipline
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### What You’ll Build (Portfolio Projects)
You won’t just “learn concepts.” You will ship:
- API-powered AI apps in Python (Groq + LLM APIs)
- Chatbots + LLM wrappers with function calling and integrations
- RAG assistants (vector embeddings + vector DB + advanced retrieval patterns)
- Agents & agentic systems (CrewAI, LangGraph, MCP patterns)
- Capstone project you can publish as a credible demo
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### What You’ll Learn (High-Level Curriculum)
A guided roadmap from fundamentals to advanced production-minded GenAI:
Foundations
- Generative AI fundamentals + essential Python prerequisite
- Environment setup, Git/GitHub, and UI building (Gradio)
LLM Engineering
- LLM playground → code
- Wrappers, function calling, tool use, data integration
- Hugging Face open-source workflow
RAG & Retrieval Systems
- LlamaIndex + RAG foundations
- Vector embeddings + vector databases
- Advanced RAG patterns and evaluation
Fine-Tuning
- Tokenization & preprocessing
- Data preparation & fine-tuning workflows
Agents & Orchestration
- Prompting patterns (ReACT, reasoning workflows)
- CrewAI multi-agent systems
- LangGraph for multi-step production flows
- Model Context Protocol (MCP) and agent-to-agent patterns
Trust & Production Readiness
- AI security & ethics (prompt injection and more)
- GenAI evaluation (RAG, reasoning, safety)
- Deployment and operational foundations
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### Format & Access
- Online program with project-based learning
- Self-paced materials + recordings
- Pre-work included
- Up to 2 years access to content (materials + recordings)
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### Tracks (Choose Your Outcome)
For Job Seekers: build a strong GenAI portfolio + structured career guidance
For Founders: build or integrate a GenAI product with access to builder network
For Agency Owners: learn to deliver end-to-end GenAI solutions for clients (pricing + packaging guidance)
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### Bonuses (Limited)
- Extra 3 hours of 1:1 mentorship
- $500 cloud credits
- AI Guild content access (library of courses/workshops)
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### Scholarship / Early Bird
Scholarship support is available for the cohort.
Use coupon code: SCHOLARSHIP (up to 50% for the new cohort)
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### How to Join
Click “Register” and submit only 4 details to show interest.
If you’re unsure whether this program is a fit, register and send a DM—our team will guide you.
