Build a Career in GenAI and Agentic AI
AI Application Developer Course in Bangalore (GenAI & Agentic AI with Python)
- Become a job-ready AI Application Developer in 5 months
Build RAG chatbots, AI agents and deployed GenAI apps with Python, FastAPI, LangGraph and MCP.
- Build 4 hands-on AI projects
- Deploy a capstone with Docker and AWS
- 2-Month Internship Included
-
Offer price:
₹49,999₹41,999
- AI Application Developer (GenAI & Agentic AI with Python) at Scholar’sEdge Academy, JP Nagar, Bangalore is a 5-month course: 3 hours a day, Monday to Friday, plus a Saturday project lab, with a weekend batch also available. You learn Python, Git, Linux and SQL basics, Pandas, NumPy and core machine learning with scikit-learn, then build AI applications with FastAPI and the Claude, GPT and Gemini APIs: prompt engineering, embeddings, vector databases, RAG and AI agents with tool calling, LangGraph, CrewAI and MCP. You evaluate and deploy your apps with Docker and AWS, and every student gets a 2-month internship. Offer fee ₹41,999 (regular ₹49,999).
Duration 5 Months
(3 hours a day, Mon–Fri, plus Saturday project lab)
Batches
Weekday batch | Weekend batch
Certification
(Course + Internship certificates)
AI Application Developer (GenAI & Agentic AI)
AI Application Developer (GenAI & Agentic AI with Python) is Scholar’sEdge Academy’s generative AI course in Bangalore with internship, taught at our JP Nagar centre. You learn to build real AI applications: apps that call large language models (LLMs) through the Claude, GPT and Gemini APIs, search company documents with retrieval-augmented generation (RAG), and act through AI agents that use tools.
The course runs for 5 months, with 3 hours of class a day from Monday to Friday plus a Saturday project lab, and a weekend batch is also available. It is open to Engineering, BCA, MCA and BSc graduates, final-year students, and professionals moving into AI. Every enrolled student gets a 2-month internship. The offer fee is ₹41,999 (regular fee ₹49,999).
In short, RAG lets an AI app answer from your own documents instead of guessing, and an AI agent is an app in which an LLM decides which tools to call to finish a task. You build both, so this is also an agentic AI course in Bangalore: you learn tool calling, LangGraph, CrewAI, MCP and multi-agent systems. You also learn the basics of evaluating and deploying them with Docker and AWS. Scholar’sEdge Academy is ISO 9001:2015 certified and MSME-registered.
See all courses in Bangalore at Scholar’sEdge Academy, or contact us to book a free demo class.
Last updated: 7 October 2026

| Course | AI Application Developer (GenAI & Agentic AI with Python) |
|---|---|
| Duration | 5 months, plus a 2-month internship included |
| Schedule | 3 hours a day, Monday to Friday, plus Saturday project lab |
| Weekend batch | Available |
| Who it is for | Engineering, BCA, MCA and BSc graduates or final-year students; professionals moving into AI |
| Tools | Python, Git, Linux, SQL, Pandas, NumPy, scikit-learn, FastAPI, Claude / GPT / Gemini APIs, vector databases, LangGraph, CrewAI, MCP, Docker, AWS |
| Projects | Company document chatbot (RAG), customer-support agent, natural-language-to-SQL data assistant, deployed domain capstone |
| Job roles | AI Application Developer, Junior GenAI Engineer, Python Developer (AI), AI Integration Engineer |
| Fee | Offer ₹41,999 (regular ₹49,999) |
| Location | J. P. Nagar, Bengaluru, Karnataka 560078 |
Who is this Program For?
- Engineering graduates
- BCA graduates
- MCA graduates
- BSc graduates
- Final-year students
- Professionals moving into AI
- Eligibility: Engineering, BCA, MCA and BSc graduates or final-year students, and professionals moving into AI.
What You'll Become
- After completing this course you can apply for
- AI Application Developer
- Junior GenAI Engineer
- Python Developer (AI)
- AI Integration Engineer
Why People Love Us
At Scholar’sEdge Academy, we’ve earned the trust of our learners by focusing on what truly
matters real learning, real support, and real outcomes. Here’s why students choose us and recommend us:
We break down complex topics into easy-to-understand lessons, with a focus on doing — not just listening. You’ll work on real projects that make sense and build your confidence.
Many of our learners start with little to no experience — and that’s okay. Our courses are designed to guide you step by step, with no pressure and full support.
Our mentors are not just instructors — they’re friendly, helpful professionals who guide you like a coach, answer your doubts, and push you to grow.
Whether you’re in college, working, or switching careers — we give you the flexibility to learn at your pace, without deadlines or stress.
Learning a skill is just the first step. We also help you prepare for jobs from resume building and LinkedIn tips to mock interviews and soft skills.
No filler, no fluff. We teach only what’s useful in the real world — tools, skills, and strategies that employers actually want.
Our pricing is designed for students and learners like you — budget-friendly, but with high value. You’ll never feel like you’re overpaying.
Our learners have gone on to crack interviews, get internships, land jobs, or even start their own projects because we focus on building skills, not just certificates.
What You Will Learn
Course Overview
The curriculum takes you from Python foundations to deployed AI applications: Python, Git, Linux and SQL basics; Pandas, NumPy and core machine learning with scikit-learn; APIs with FastAPI and LLM APIs (Claude, GPT, Gemini); prompt engineering, embeddings, vector databases and RAG; AI agents with tool calling, LangGraph, CrewAI, MCP and multi-agent systems; and evaluating and deploying AI apps with Docker and AWS. You finish with a deployed domain capstone.
Python, Git, Linux & SQL Foundations
Get comfortable with Python, Git, the Linux command line and SQL basics, the base for everything that follows.
Pandas, NumPy & Machine Learning with scikit-learn
Work with data in Pandas and NumPy and learn core machine learning with scikit-learn.
FastAPI & LLM APIs (Claude, GPT, Gemini)
Build APIs with FastAPI and call the Claude, GPT and Gemini APIs from your own applications.
Prompt Engineering, Embeddings, Vector Databases & RAG
Write effective prompts, create embeddings, store them in vector databases and build retrieval-augmented generation (RAG) apps.
AI Agents: Tool Calling, LangGraph, CrewAI, MCP & Multi-Agent
Build AI agents that call tools, coordinate with LangGraph and CrewAI, connect through MCP, and work together as multi-agent systems.
Evaluating & Deploying AI Apps with Docker and AWS
Test the quality of AI app outputs, package your apps with Docker and deploy them on AWS.
Real Projects You Will Build
- Company document chatbot (RAG)
- Customer-support AI agent
- Natural-language-to-SQL data assistant
- Deployed domain capstone
Career Accelerator
- Resume Building
- LinkedIn Profile Optimization
- Portfolio Development
- Mock Interviews
- HR Preparation
- Career Guidance
- Job Opportunity Alerts
Internship Included
- Every enrolled student gets a 2-month internship, working on real AI application tasks with mentors.
- You'll experience
- RAG Application Building
- AI Agent Development
- API Development with FastAPI
- LLM Prompt Design
- AI App Testing
- Docker Deployment
- Project Presentations
Who Can Join?
AI Application Developer course for graduates, final-year students and professionals moving into AI
Course and Internship Certificates
On completing the AI Application Developer course you receive a Scholar’sEdge Academy Course Completion Certificate, and an Internship Completion Certificate after your 2-month internship. Scholar’sEdge Academy is an ISO 9001:2015 certified and MSME-registered institute in JP Nagar, Bangalore.
Course Completion Certificate
Awarded when you complete the course. Scholar’sEdge Academy certificates are verified and uniquely numbered, so you can share them with employers and on LinkedIn.
Internship Completion Certificate
Awarded after you complete your 2-month internship with real tasks and mentor guidance.
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Guides to help you choose
- What Is RAG (Retrieval-Augmented Generation)? A Beginner’s Guide
- AI Agents Explained: Tool Calling, LangGraph and MCP in Plain English
- Full Stack vs AI Application Developer: Which Course Should You Choose?
- Why Learning Python Is the Smartest Career Move You Can Make in 2026
- Best Course for BCA and Engineering Freshers in Bangalore: A Simple Guide
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