Python AI Agent Developer
Learn to build AI chatbots and agents using Python, ready LLMs, LangChain and RAG — with a React frontend and Python backend. You apply AI to automate real-world tasks; you don't train models from scratch.
What You'll Learn
11 modules — tap any to expand.
- How the internet works — client-server, HTTP/HTTPS
- Development environment setup (VS Code, dev tools)
- Frontend vs Backend vs Full Stack & tech stacks
- HTML structure, elements & attributes
- Headings, links, images, lists & tables
- Forms & media tags
- Semantic HTML5
- Selectors, colours & the box model
- Positioning, backgrounds & animations
- Flexbox & CSS Grid
- Responsive design & media queries
- Bootstrap 5 & Tailwind CSS
- Variables, data types, operators & conditionals
- Loops, functions, arrays & objects
- DOM manipulation & events
- Form validation & regex
- ES6+, JSON & Fetch API
- OOP & classes
- Async/await, promises & error handling
- Git basics, branching & merge conflicts
- GitHub — push, pull, clone & pull requests
- JSX, components, props & rendering
- Hooks — useState, useEffect, useRef, useMemo, custom hooks
- React Router & navigation
- Forms & Axios API calls
- Redux Toolkit — state management
- Advanced React — lazy loading, Antd / MUI
- SQL vs NoSQL, MySQL (DDL/DML)
- Queries, joins & key concepts
- ER diagrams
- MongoDB
- Python fundamentals, OOP & data structures
- APIs & database connectivity
- Streamlit
- Understanding LLMs & prompt engineering
- LangChain fundamentals
- Document processing, embeddings & RAG pipelines
- FastAPI backend
- Building AI agents with tools
- Multi-agent concepts (CrewAI / LangGraph)
- Connecting the AI backend & React frontend into a deployable app
From Skills to Shipping Real Products
Once the syllabus is complete, you put it all together.
Group Project
Students are assigned into teams and build a complete real-world application together — practising collaboration, Git workflows and code reviews just like a real company.
Agentic Coding, Prompting & AI Tools
Hands-on practice with agentic coding, prompt engineering and 20+ industry AI tools — learning to build and ship faster the way modern developers actually work.
Deployment
Take the project live — deploy full-stack applications to production with CI/CD, hosting, domains and environment configuration.
Your Journey at NexCrest
Campus Lab Training
Hands-on coding in AI-integrated labs with industry trainers.
~65 Days
Mini Project
Build a portfolio project that proves your skills.
Portfolio
Live Client Project
Work on real client deliverables under mentor supervision.
Real Clients
Industry Internship
Paid internship inside a real IT company.
6 Months · Earn & Learn
Job Placement
Guaranteed placement with a signed agreement before you join.
2.4–7 LPA
Outcomes
Placement Salary
2.4–7 LPA
Guaranteed on completion
Career Roles
Certificates
- NSDC Certificate
- Industry Experience Certificate
Ready to Become a Python AI Agent Developer?
Seats are limited each batch. Apply now or talk to an advisor to get started.
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