★★★★★

(2,095 ratings) 50,000+ Student

GENERATIVE AI

Generative AI training focuses on teaching participants how to build, use, and understand AI models capable of generating new content, such as text, images, audio, or code. Generative AI models don’t just classify or recognize data—they learn patterns and then generate outputs based on those patterns, mimicking human creativity. It automates creative processes, from marketing content to product design.

Radical Technologies

50,000+ English 40 hours Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

GENERATIVE AI

IT Training Programme

Duration 40 hours

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

10 sections covering the complete curriculum — a single, progressive learning arc.

40 hours

Training Duration

Core Modules

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a AI role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

10 sections • 84 lessons • 40 hours

Jump to Section

Total Duration

40 hours

100% Practical · Unlimited Doubt Sessions

01 1. Introduction to Generative AI

Overview of Generative AI

o What is Generative AI?

o Applications in various industries (text, images, music, code generation, etc.)

• Basic AI Concepts

o Machine Learning vs. Deep Learning vs. Generative AI

o Key components: Models, data, and learning

• Tools and Libraries

o Python setup: Jupyter Notebook, Colab

o Introduction to TensorFlow, PyTorch, Hugging Face, and OpenAI APIs

02 2. Fundamentals of Neural Networks

Deep Learning Basics

o Artificial Neural Networks (ANN)

o Feedforward and Backpropagation

o Loss functions and optimization

• Hands-On: Build a simple Neural Network

o Frameworks: TensorFlow/Keras or PyTorch

o Training and testing a basic network

03 3. Probabilistic Generative Models

Introduction to Probabilistic Models

o Gaussian Mixture Models (GMM)

o Hidden Markov Models (HMM)

• Variational Inference

o Basics of Bayesian inference

o Variational Autoencoders (VAE) theory and implementation

• Hands-On: Implementing VAEs

o Generate synthetic data using VAEs

04 4. Generative Adversarial Networks (GANs)

Theory of GANs

o Generator and Discriminator

o Minimax Game and Loss Function

o Challenges: Mode collapse, convergence issues

• Types of GANs

o DCGANs, WGANs, and Conditional GANs

• Hands-On: Build and Train GANs

o Generate synthetic images (e.g., handwritten digits or simple objects)

o Explore variations with Conditional GANs

05 5. Transformers and Attention Mechanisms

Understanding Attention Mechanisms

o Importance of self-attention

o From RNNs to Transformers

• Introduction to Transformers

o Architecture of Transformers

o Key components: Positional Encoding, Multi-head Attention, Feedforward layers

• Hands-On: Implementing Attention

o Build a simple attention mechanism

o Explore a Transformer model using Hugging Face

06 6. Large Language Models (LLMs) and NLP

• Introduction to LLMs

o What are LLMs? (e.g., GPT, BERT, T5)

o Tokenization and embeddings

o Fine-tuning pre-trained models

• Hands-On: Text Generation

o Fine-tune a GPT model on custom text data

o Generate creative writing or chat-based text

07 7. Diffusion Models and Image Generation

• Introduction to Diffusion Models

o Theory: Noise addition and removal process

o Popular diffusion models (e.g., DALL·E, Stable Diffusion)

• Hands-On: Image Generation

o Use pre-trained models for image generation

o Experiment with latent diffusion

08 8. LangChain and OpenAI API

• LangChain Basics

o Overview of LangChain and its ecosystem

o Connecting LLMs with external tools and APIs

o Building chains: Sequential and parallel pipelines

• OpenAI API

o Introduction to the OpenAI API (e.g., GPT models)

o Using OpenAI API for text generation, summarization, and translation

• Hands-On: Building Workflows

o Build a LangChain-powered pipeline for a text-based use case

o Experiment with OpenAI for prompt engineering and fine-tuning

09 9. Building Chatbot Applications

• Introduction to Chatbots

o Types of chatbots: Rule-based vs. AI-powered

o Key components: Intent recognition, response generation

• Creating AI-Powered Chatbots

o Using LangChain and OpenAI to build conversational agents

o Integrating memory and context in chatbot interactions

• Hands-On: Deploying Chatbots

o Build a chatbot app using Python

o Deploy using Streamlit or Flask

o Test chatbot on real-world scenarios

10 10. Capstone Project

• Project Options

o Text-to-Image Generation (e.g., captions into images)

o Custom Text Generation (fine-tuning a GPT model)

o Music Generation using RNNs or Transformers

o AI-powered chatbots with LLMs

o Artistic Style Transfer using neural networks

• Presentation and Evaluation

o Project presentation

o Peer review and feedback

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

84+

Hands-On Lessons

Core Modules

40 hours

Training Duration

100%

Practical Training

You don't just learn GENERATIVE AI. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

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Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

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Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.