🚀 This article outlines my personal 6-month roadmap to become a GenAI Engineer, covering LLMs, AI Agents, RAG systems, DSA, System Design, and real-world projects.
Hello everyone 👋
My name is Anupam, and I am currently pursuing a B.Tech in Computer Science with a specialization in AI & ML.
Like many students, I spent a lot of time learning different technologies without a clear direction. Sometimes it was web development, sometimes machine learning, sometimes DSA. While all of these are important, I realized that the future is rapidly moving toward Generative AI and AI Agents.
So I decided to create a focused 6-month roadmap to become a skilled GenAI Engineer.
In this article, I want to share my learning plan, goals, resources, and projects that I will build along the way.
Why GenAI?
Artificial Intelligence is evolving faster than ever.
Today, Large Language Models (LLMs) can:
- Write code
- Generate content
- Analyze documents
- Use external tools
- Automate workflows
- Act as AI Agents
Companies are actively looking for engineers who understand not just machine learning, but also how to build practical AI applications.
That is why I decided to focus on:
- Generative AI
- LLMs
- AI Agents
- Prompt Engineering
- RAG Systems
- System Design
- DSA for interviews
My Current Situation
Currently, I am:
✅ Computer Science (AI/ML) Student
✅ Learning Data Structures & Algorithms
✅ Exploring System Design
✅ Learning Generative AI
✅ Looking for internships and real-world project experience
My goal is to become industry-ready by the end of 2026.
Month 1: Build Strong Foundations
Topics
- What is AI?
- Machine Learning Basics
- Deep Learning Basics
- What are LLMs?
- How ChatGPT works
- Transformers
- Tokens
- Embeddings
Resources
- Andrew Ng AI Courses
- DeepLearning.AI
- OpenAI Documentation
- YouTube
Goal
Understand how modern AI systems work behind the scenes.
Month 2: Prompt Engineering
Topics
- Zero-shot prompting
- Few-shot prompting
- Chain of Thought
- Role prompting
- Structured outputs
- Prompt evaluation
Mini Projects
- AI Resume Analyzer
- AI Study Planner
- AI Interview Coach
Goal
Learn how to communicate effectively with AI models.
Month 3: LangChain and AI Agents
Topics
- LangChain Basics
- Chains
- Memory
- Tools
- Agents
- Function Calling
- Multi-Agent Systems
Projects
- AI Research Assistant
- AI Career Advisor
- AI Learning Coach
Goal
Build AI systems that can think and take actions.
Month 4: Retrieval-Augmented Generation (RAG)
Topics
- Vector Databases
- Embeddings
- Chunking
- Retrieval
- Semantic Search
Tools
- LangChain
- ChromaDB
- FAISS
- Pinecone
Projects
- PDF Chatbot
- Notes Assistant
- College Document Search
Goal
Build AI systems capable of answering questions from custom data.
Month 5: Real-World Projects
This month will focus entirely on project building.
Project 1
AI-Powered Rural Job Platform
Features:
- Local job listings
- Hindi support
- AI career guidance
- Resume recommendations
Project 2
Farmer Assistance Platform
Features:
- Crop recommendations
- Weather insights
- Government schemes
- Voice-based interaction
Project 3
AI Interview Preparation Assistant
Features:
- Mock interviews
- Feedback
- Personalized learning paths
Month 6: Interview Preparation and Deployment
DSA
- Arrays
- Strings
- Linked Lists
- Trees
- Graphs
- Dynamic Programming
System Design
- Scalability
- Databases
- APIs
- Caching
- Load Balancing
Deployment
- Docker
- Vercel
- Railway
- AWS Basics
Goal
Become internship and placement ready.
Technologies I Plan to Learn
| Category | Tools |
|---|---|
| Programming | Python |
| AI | OpenAI, Gemini |
| Frameworks | LangChain |
| Vector DB | Pinecone, ChromaDB |
| Backend | FastAPI |
| Frontend | React |
| Deployment | Vercel, Docker |
| Database | PostgreSQL |
My Long-Term Vision
I am particularly interested in building AI solutions for India, especially for:
- Education
- Healthcare
- Agriculture
- Employment
Coming from Uttar Pradesh, I believe technology can solve many real-world problems if applied correctly.
My dream is to build products that create impact at scale while continuously growing as an engineer.
What Success Looks Like After 6 Months
By the end of this roadmap, I want to:
- Build 5+ AI projects
- Understand AI Agents deeply
- Learn RAG systems
- Improve DSA skills
- Learn System Design fundamentals
- Secure a strong internship opportunity
- Contribute to open-source projects
Final Thoughts
This roadmap is not perfect, and I know there will be challenges along the way.
But consistency beats intensity.
Instead of trying to learn everything at once, I am focusing on making small progress every day.
I will keep sharing updates, projects, lessons, and failures throughout this journey.
If you're also learning Generative AI, feel free to connect and share your roadmap as well.
Let's build something amazing in 2026 🚀
Thanks for reading ❤️
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