You can ship useful AI apps
Prompted workflows, retrieval-backed assistants, and practical product thinking.
Programs
Two tracks for builders at different stages of the same mission.
Whether you are starting out or shifting your engineering career into AI, CodeCkt is structured to move you toward real build capability.
- Agentic AI (LangGraph, CrewAI, AutoGen)
- LLM Engineering (RAG, evals, guardrails)
- Claude-Code / Copilot-style workflows
- Production AI (FastAPI, Docker, CI/CD)
- Real-world use cases (QA automation, enterprise copilots, IoT-AI integrations)
Program 1
8 Weeks (40 Days) — AI Foundations + Builder Track (Freshers)
Target outcomes:
- AI-aware
- Hands-on builders
- Internship/job-ready (junior AI dev / prompt engineer)
| Week | Theme | Outcome |
|---|---|---|
| 1 | AI + Python Basics | Setup + mindset |
| 2 | APIs + LLM Basics | Call GPT, Gemini |
| 3 | Prompt Engineering | Control AI |
| 4 | RAG Fundamentals | Build knowledge AI |
| 5 | Agents Intro | Simple agent systems |
| 6 | Mini Projects | Apply learning |
| 7 | Full Project | Real-world system |
| 8 | Deployment + Career | Ship + present |
Detailed curriculum
Topics
- AI landscape (ChatGPT, Claude, Gemini, Agents)
- Python basics (focused, not full course)
- APIs & JSON
- VS Code + Git basics
Hands-on
- Simple Python scripts
- Call a public API
Outcome Can write Python scripts & understand API flow
Topics
- What is LLM?
- Tokens, temperature, context
- API calling (OpenAI / Gemini)
- Chat vs Completion
Hands-on
- AI chatbot CLI
- Resume improver
Outcome Can integrate LLM into apps
Topics
- Zero-shot / Few-shot
- Role prompting
- Structured outputs (JSON)
- Prompt chaining
Hands-on
- Email generator
- Blog writer with tone control
Outcome Can control AI output (critical skill)
Topics
- Why RAG (hallucination problem)
- Embeddings basics
- Vector DB (FAISS / simple)
- Chunking strategies
Hands-on
- PDF Q&A bot
- Knowledge assistant
Outcome Can build company-style AI assistant
Topics
- What are agents?
- Tools, memory, reasoning loop
- Intro: LangChain, CrewAI
Hands-on
- Research agent
- Task automation agent
Outcome Understand agent workflows
Topics
- Students choose 2 from: AI Study Assistant, AI Code Explainer, AI Customer Support Bot, AI Resume Screener
Outcome Portfolio starts building
Topics
- Examples: AI SaaS chatbot, AI tutor system, AI document analyzer
- Must include: LLM + RAG + UI
Outcome Team shipped end-to-end AI product slice
Topics
- FastAPI basics
- Simple React UI
- Docker intro
- Resume + GitHub portfolio
Hands-on
- Live deployed project
- Demo presentation
Outcome Junior AI Developer ready — chatbots, RAG systems, basic agents
- Junior AI Developer ready
- Can build chatbots, RAG systems, and basic agents
8 Week Program: AI Builder Bootcamp
Outcomes
Two timelines. One goal: become someone who can build real AI systems.
You can architect agentic systems
Production-minded workflows with orchestration, observability, and sharper engineering judgment.