Agentic AI Course Overview:
Agentic AI Course is designed to train technical freshers and software developers to build AI-powered, autonomous agents using Python and modern AI frameworks. The program focuses on enabling learners to design, develop, and deploy AI agents within real-world software systems.
Students will gain hands-on experience in integrating Large Language Models (LLMs), designing agent workflows, and embedding AI agents into web applications to meet current and future industry demands.
Master Autonomous AI Agents
Build next-gen intelligent systems with Python—explore the course more and discover career opportunities in Agentic AI.
Training Duration
The training program consists of 140 hours, scheduled for three days each week for three hours daily.
The course is typically completed in approximately four months.
The training is conducted in a hybrid format, allowing students to join either online or in person. For working professionals, weekend classes are available.
Course Fee
₹ 35,500
Course Structure
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book_2 Module 1: Python Programming for AI Applications
- • Python syntax and programming fundamentals
- • Variables, data types, and control structures
- • Functions and modular programming
- • Data structures: lists, tuples, dictionaries, sets
- • File handling and exception management
- • Writing clean and maintainable Python code
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book_2 Module 2: Python with Object-Oriented Programming
- • Object-Oriented Programming concepts
- • Classes, abstract classes, interfaces
- • Types of inheritance
- • Method Resolution Order (MRO)
- • Introduction to Streamlit
- • Build basic GUI applications using Streamlit
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book_2 Module 3: Python with SQLite Database
- • Introduction to SQLite
- • Understanding serverless databases
- • CRUD operations using Python + SQLite
- • Database relationships
- • Build small standalone applications
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book_2 Module 4: Introduction to FastAPI
- • REST API fundamentals
- • HTTP methods: GET, POST, PUT
- • Build APIs using FastAPI & SQLite
- • Integrate APIs with JavaScript frontend
- • Build Agentic bot for CRUD operations
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book_2 Module 5: Prompt Engineering for Developers
- • Principles of effective prompt design
- • System, user, and assistant prompts
- • Dynamic prompt creation using Python
- • Structured outputs (JSON-based responses)
- • Prompt optimization and error handling
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book_2 Module 6: Agentic AI & LLM Fundamentals
- • Introduction to AI and Generative AI
- • Understanding Large Language Models (LLMs)
- • Interacting with LLMs using Python
- • Setup Ollama and run local LLMs
- • Build custom chatbot applications
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book_2 Module 7: Building AI Agents Using Python
- • Designing task-oriented AI agents
- • Tool calling and function execution
- • API and database integration
- • Context and memory management
- • Custom agent logic development
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book_2 Module 8: RAG (Retrieval Augmented Generation)
- • RAG architecture basics
- • FAISS vector database
- • Sentence transformers & query-based agents
- • Knowledge base creation
- • Build apps like PDF reader bot, DB bot
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book_2 Module 9: Advanced RAG & Agent Frameworks
- • FAISS, LangChain, OpenAI integration
- • Build agents using LangChain + FAISS
- • Convert APIs using FastAPI
- • Connect frontend with live APIs
- • Projects: AI PDF Chat, GitHub Chat, File Search AI
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book_2 Module 10: Cost Optimization & Efficiency
- • Token optimization
- • Response caching
- • Model selection strategies
- • Streaming responses
- • Cost monitoring & budgeting
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book_2 Module 11: Production Deployment
- • Deploy projects using GitHub
- • Deploy FastAPI applications
- • Host AI agents
- • Connect live APIs to frontend
- • Build real-world deployable AI systems
Project (Industry-Focused)
Students will develop end-to-end AI agent applications, or agents within existing applications to automate particular workflows..
Certification as Trainee AI-ML Engineer:
On successful completion of the course, students get certified as Trainee AI-Ml Engineer, jointly by Ejobindia and the development firm Sysalgo Technologies.
