Program Overview — 6 Months, 24 Weeks, Portfolio-Driven
The Generative AI & AI Automation Engineer program is built for one outcome: you ship production GenAI systems. Six learning phases move you from Python foundations to a deployed, end-to-end business AI automation platform — with guided project milestones at every phase.
Program Curriculum — 24 Weeks | 6 Learning Phases | Portfolio-Driven
Learn. Build. Automate. Real-World GenAI Projects. Har phase ka apna hands-on project hota hai:
Month 1 — Python & Data Foundations
Python fundamentals, OOP, Git/GitHub · NumPy, Pandas, APIs · SQL and data preparation
Project: Data Analysis & Insight Assistant — analyze data and generate insights using Python.
Month 2 — NLP & Machine Learning Essentials
Text preprocessing, embeddings · Classification, evaluation · Transformers fundamentals · Prompt engineering
Project: Intelligent Text & Sentiment Analyzer — analyze and classify text with ML and transformer models.
Month 3 — Generative AI & LLM Applications
LLM architecture, tokens, context windows · Prompting, OpenAI/Claude or equivalent APIs · Structured outputs, function/tool calling
Project: GenAI Chatbot with Tools — build a chatbot that can use tools and external data.
Month 4 — RAG & Knowledge Assistants
Document ingestion, chunking, embeddings · Vector databases, retrieval, reranking · Citations, evaluation, hallucination reduction
Project: PDF/Website Knowledge Assistant — chat with your documents and websites using RAG.
Month 5 — Agentic AI & Workflow Automation
LangChain, LangGraph, MCP concepts · n8n/API integrations, multi-step agents · Memory, human-in-the-loop, retries and monitoring
Project: AI Agent with Real-World Integrations — automate real business workflows with AI agents and APIs.
Month 6 — Deployment, Evaluation & Capstone
FastAPI, Streamlit/Gradio, Docker · Cloud deployment, CI/CD basics · Security, observability, LLM evaluation · Cost optimization
Project: End-to-End Business AI Automation Platform — build and deploy a complete real-world AI product.
Build a Job-Ready Portfolio
Work on real-world projects and build solutions you can showcase.
RAG Document Q&A Assistant
Chat with PDFs, reports and websites.
AI Research / Reporting Agent
Automate research and generate reports.
n8n + LLM Workflow Automation
Automate multi-step tasks with real APIs.
Deployed Capstone AI Product
End-to-end real-world AI platform.
Project work depends on learner effort and available tools/API usage.
What You'll Gain
- Practical Generative AI & automation skills
- 6+ guided project milestones
- End-to-end product development experience
- Portfolio and GitHub support
- Interview and resume preparation
- Mentorship and doubt support
- DSWallah certificate of completion
Who Should Join?
- Students & freshers who want to start an AI career
- Python/data professionals adding GenAI & automation to their stack
- Developers and analysts building AI features into products
- Aspiring AI Automation Engineers
- Founders and builders automating their own business
Prerequisite: No prior AI skill needed — Python fundamentals are taught and revised in Month 1.
Tech Stack You Will Work With
Industry-relevant tools and technologies for real-world AI development.
Program Fee & EMI
EMI Options: Ask Our Team — one-time program fee for the full 6-month track.
EMI availability and terms subject to approval. Course fee and any third-party API/cloud costs should be confirmed before enrolment.
Frequently Asked Questions — Generative AI & AI Automation Engineer
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Free demo · No pressure · Live mentorship. Seats for the next 6-month batch are open now.
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