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TIER 1:GenAI & Agentic AI Bootcamp

best ai training in thrissur,kochi,kerala

Program Details

Hands-on, Project-Driven

Online/offline

Beginer/Intermediate

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TIER 1 – GenAI & Agentic AI Bootcamp is an intensive, hands-on program designed to help you build real-world Generative AI and Agentic AI applications from scratch. This bootcamp focuses on practical implementation using modern AI frameworks and full-stack technologies.

You will start with Python fundamentals and quickly move into building AI-powered backends using FastAPI, creating interactive user interfaces with React and Streamlit, and integrating Large Language Models into scalable applications.

Skills Covered:

  • Python Programming

  • Backend Development

  • Frontend Development

  • Database Design

  • API Integration

  • Large Language Models

  • Retrieval Augmented Generation

  • Prompt Engineering

  • Agentic AI Systems

  • Vector Databases

  • Multi-Agent Architectures

  • Git & Version Control

Career Path:

Stage1

Project Planning & Design

Stage8

Multi-Agent Systems & AI Applications

Stage2

Web Development Fundamentals

Stage7

Generative AI Basics

Stage3

Frontend Development (React)

Stage6

Backend Development (FastAPI)

Stage4

Python

Stage5

PostgreSQL

Career Outcome:

Frontend Developer - React

Developing reusable components, managing application state, integrating APIs, optimizing performance for speed, and collaborating with designers/backend teams to translate UI/UX designs into high-quality code.

level 1

Backend Developer - Python

Builds and maintains the server-side logic, databases, and API integrations that power web application functionality. They write clean, secure, and scalable Python code using frameworks like Django or FastAPI to connect user-facing frontend elements to data storage solutions.

level 1

Python-React Full Stack Developer

Designing, developing, and maintaining both the front-end (user interface) with React.js and the back-end (server-side logic and databases) with Python.

level 2

GENAI ENGINEER

Design, build, and deploy advanced AI models—primarily Large Language Models (LLMs) and Generative Adversarial Networks (GANs) transforming research findings into scalable, production-ready applications.

level 3

AI BACKEND DEVELOPER

Designing API backends, preprocessing data for AI models, building server-side logic, and integrating AI models into applications

level 3

AI RESEARCH ENGINEER

 They are responsible for advancing state-of-the-art AI systems, conducting experiments, and transforming research findings into scalable, production-ready applications.

level 3

Python Full Stack development with Generative AI Engineer

 They are responsible for builds end-to-end web applications that integrate AI models, combining traditional frontend/backend development with AI capabilities like LLMs, RAG, and prompt engineering

level 4

Program Outline:

Curriculam Road map

Epic - 1
Project Planning & Design
  • Program Kickstart
  • Project Initiation and Planning
  • Software Engineering Fundamentals
  • Requirements Engineering
  • UI/UX Designing
  • System Analysis and Design
Epic - 2
Frontend Development (React)
  • Overview of Front-End Development
  • Introduction to React fundamentals
  • Components, props, and state
  • Calling backend APIs
  • Handling forms and authentication
  • Connecting React UI to FastAPI backend
  • Building simple AI-powered dashboards
Epic - 3
Python Fundamentals
  • Python Basics & Syntax
  • Control Flow & Loops
  • Functions & Modular Code
  • Python Collections & Comprehensions
  • Advanced Python Concepts
  • Async programming fundamentals
  • Database integration basics
Epic - 4
PostgreSQL
  • Database fundamentals
  • Working with PostgreSQL
  • SQL queries & joins
  • Database schema design
  • ORM with SQLAlchemy
  • Async database operations
  • Managing migrations
Epic - 5
Backend Development
  • Introduction to FastAPI
  • REST API development
  • Pydantic models & validation
  • Authentication & Authorization (JWT-based)
  • Error handling & middleware
  • Async API development
  • Production-ready backend structure
Epic - 6
Generative AI Basics
  • Introduction to Generative AI
  • Large Language Model landscape (OpenAI, Gemini, open-source models)
  • How LLMs work (tokens, embeddings, transformers)
  • Prompt Engineering techniques
  • API-based LLM integration
  • Using embeddings for semantic search
Epic - 7
Advanced GenAI – Multi-Agent Systems & AI Applications

Foundations of Agentic AI

  • What are AI agents?
  • Tool-using agents
  • Multi-agent system architecture

Embeddings & Vector Databases

  • Vector search fundamentals
  • Working with ChromaDB
  • Working with Qdrant
  • Semantic search pipelines

Retrieval Augmented Generation (RAG)

  • Building RAG systems
  • Chunking strategies
  • Hybrid retrieval
  • Memory & context management

LangChain & LangGraph

  • Building tool-using AI with LangChain
  • Designing stateful workflows with LangGraph
  • Agent memory & multi-step reasoning

CrewAI & Collaborative Agents

  • Building collaborative AI systems using CrewAI
  • Role-based agents
  • Task delegation & coordination

AI Application Layer

  • Building UI with Streamlit
  • Deploying multi-agent applications
  • Logging, monitoring & evaluation
Capstone Project
Multi-Agent GenAI System using FastAPI

You will build a production-ready multi-agent AI system that includes:

  • FastAPI backend
  • PostgreSQL database
  • RAG pipeline
  • Vector database integration
  • Multi-agent orchestration
  • AI-powered API endpoints
  • Frontend dashboard

Tools Covered:

Python Streamline Icon: https://streamlinehq.com
Chroma Streamline Icon: https://streamlinehq.com
Open Ai Logo Thin Streamline Icon: https://streamlinehq.com
Visual Studio Streamline Icon: https://streamlinehq.com
Google Gemini Streamline Icon: https://streamlinehq.com
Langchain Streamline Icon: https://streamlinehq.com LangChain
Trello Streamline Icon: https://streamlinehq.com
LangGraph
Streamlit Streamline Icon: https://streamlinehq.com
Git Streamline Icon: https://streamlinehq.com
Postgresql Streamline Icon: https://streamlinehq.com

TECH STACK YOU’LL MASTER

  • PROGRAMMING LANGUAGE:

    Python

  • AI FRAMEWORKS & CONCEPTS

    LANGCHAIN
    LANGGRAPH
    RAG (RETRIEVAL-AUGMENTED GENERATION)

  • DATABASES

    POSTGRESQL
    VECTOR DBS (CHROMADB, QDRANT)

  • TOOLS & PROJECT MANAGEMENT

    GIT
    TRELLO
    SCRUM (AGILE METHODOLOGY – SPRINTS, STAND-UPS, SPRINT PLANNING, RETROSPECTIVES)

Ready to Accelerate Your Career

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Your Journey To Become A Tier-1 Software Engineer Starts Here

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