Write production-oriented Python and solve DSA problems with confidence
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Full Stack + Gen AIOnline class
Full Stack Python with Gen AI & DSA
Build production full-stack and Generative AI applications — and the DSA skills to clear the interview.
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Go from fundamentals to shipping AI-powered full-stack products employers actually hire for.
Full Stack Python with Gen AI & DSA is a hands-on, project-based program that takes you from core programming and data structures all the way to building and deploying production-grade, AI-powered applications. You'll master Python, HTML, CSS, JavaScript and React on the frontend, FastAPI and PostgreSQL on the backend, and modern Generative AI — LLMs, prompt engineering, embeddings, RAG, AI agents and MCP. Across 32 structured modules you'll ship six industry projects and a capstone, backed by DSA and interview preparation and full placement support.
What makes this course different
Every module is taught through live coding and hands-on implementation, then reinforced with DSA, real projects and interview practice — so you finish with skills, a portfolio and the confidence to get hired.
Course by TekSpotEdu
Instructor
Highlights of the course
- Build complete full-stack applications with Python, React and FastAPI
- Develop production RAG applications and integrate LLMs into real products
- Build AI agents with tool calling and MCP integration
- Master data structures & algorithms for coding interviews
- Deploy live projects on AWS with Docker and CI/CD
- Model and query PostgreSQL databases behind clean REST APIs
- Graduate with six industry projects and an AI-enabled portfolio
How this course helps
This course turns you into a job-ready full-stack and Generative AI engineer — able to build, ship and deploy real applications, not just follow tutorials.
What you will learn
Build responsive frontends with HTML, CSS, JavaScript and React
Design REST APIs and work with PostgreSQL databases using FastAPI
Build complete, deployable full-stack applications
Develop Generative AI apps with LLMs, RAG, embeddings and AI agents
Containerize, deploy and monitor projects on the cloud with Docker and CI/CD
Course content
Explore every course chapter
| Lessons | Duration |
|---|---|
Week 1Programming & Computational Thinking | 120 minutes |
Week 2Python Core Programming | 120 minutes |
Week 3Functions & Advanced Python | 120 minutes |
Week 4Object-Oriented Python | 120 minutes |
Week 5Modules, Packages & Project Structure | 120 minutes |
Week 6File Handling, Data Processing & Automation | 120 minutes |
Week 7Testing, Debugging, Logging & Code Quality | 120 minutes |
Week 8Data Structures & Algorithms | 120 minutes |
Week 9SQL & Databases | 120 minutes |
Week 10HTML5 & CSS3 | 120 minutes |
Week 11JavaScript & Modern ES6+ | 120 minutes |
Week 12React Frontend Development | 120 minutes |
Week 13Python Backend with FastAPI | 120 minutes |
Week 14Authentication, Security & Enterprise Backend | 120 minutes |
Week 15Git, Linux, Docker & Deployment | 120 minutes |
Week 16Software Architecture & Design Patterns | 120 minutes |
Week 17AI & Machine Learning Foundations | 120 minutes |
Week 18Generative AI Fundamentals | 120 minutes |
Week 19Prompt Engineering | 120 minutes |
Week 20LLM Application Development | 120 minutes |
Week 21Embeddings & Vector Databases | 120 minutes |
Week 22Retrieval-Augmented Generation (RAG) | 120 minutes |
Week 23Advanced RAG & Enterprise Knowledge Systems | 120 minutes |
Week 24AI Agents & Tool Calling | 120 minutes |
Week 25Model Context Protocol (MCP) | 120 minutes |
Week 26Multimodal Generative AI | 120 minutes |
Week 27LLM Evaluation, Security & Responsible AI | 120 minutes |
Week 28LLMOps / Production GenAI | 120 minutes |
Week 29Industry Projects | 120 minutes |
Week 30DSA & Coding Interview Preparation | 120 minutes |
Week 31GenAI + Full Stack Capstone | 120 minutes |
Week 32Resume, Portfolio & Career Preparation | 120 minutes |