Explore Our Advanced Generative AI Program

Join Innomatics’ NASSCOM FutureSkills Prime–certified Advanced Generative AI Program and gain hands-on experience building intelligent AI tools using ChatGPT, DALL·E, and LLMs—designed for tech professionals, students, and business users across industries, with no advanced coding required.

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Advanced Generative AI Program NASSCOM FutureSkills Prime Certified

Enroll in Innomatics’ industry-driven Generative AI program and learn to create smart, AI-powered solutions using advanced models such as ChatGPT, DALL·E, and large language models. This course is ideal for developers, students, and professionals from any business domain, offering a fully hands-on learning experience that enables you to build, automate, and innovate with AI—without requiring advanced coding expertise.

Why Students Trust This Program

This course is designed for professionals, students, and tech enthusiasts who want to dive deep into the world of GenAI tools and models like.

Our program is built exactly for that:

✅ ChatGPT & GPT-4

✅ DALL·E, Midjourney (AI image generators)

✅ LLMs (Large Language Models)

✅ Prompt engineering

✅ AI content automation

✅ Text-to-speech and speech-to-text models

✅ AI agents & assistants

✅ Building custom GPTs and APIs

Key Advantages and Opportunities

Master advanced AI concept
Build your own AI applications
Contribute to AI research
Explore creative possibilities

Live Projects

Learn the latest and most advanced ideas in Artificial Intelligence, including how computers can generate new content, enhance existing data, and solve complex problems. Gain hands-on experience with cutting-edge AI tools and models, understand real-world applications across industries, and develop the skills to innovate, automate, and drive data-driven decisions in your projects and workplace.

Live Projects

Create your own tools and programs using AI technology, enabling you to generate articles, videos, and creative content, improve data quality, and automate repetitive tasks. Learn to build intelligent applications, leverage cutting-edge AI models like ChatGPT and DALL·E, and gain practical skills that let you solve real-world problems, innovate in your projects, and drive smarter business decisions.

Live Projects

Join the forefront of AI innovation, where you can explore new possibilities, develop cutting-edge tools, and help shape the future of technology. Collaborate on real-world projects, experiment with advanced AI models, and apply your knowledge to solve complex challenges. Your contributions could lead to groundbreaking discoveries, smarter solutions, and transformative advancements in AI

Live Projects

Experiment with AI to unlock your creativity. Whether it’s generating art, music, videos, or stories, AI opens up endless opportunities for creative expression, innovation, and exploration. Learn to harness cutting-edge AI tools and models to build your own projects, automate creative tasks, and transform ideas into tangible solutions.

Our Hiring Partners

Lovable AI Logo LangChain Logo Claude AI Logo Google Gemini Logo ChatGPT Logo n8n Automation Tool Logo Cursor AI Editor LogoLovable AI Logo LangChain Logo Claude AI Logo Google Gemini Logo ChatGPT Logo n8n Automation Tool Logo Cursor AI Editor Logo
CrewAI Logo Duplicate PyTorch Logo Duplicate Python Logo Duplicate Hugging Face Logo Duplicate Chroma Logo Duplicate Index AI Logo Duplicate Index AI Logo DuplicateCrewAI Logo Duplicate PyTorch Logo Duplicate Python Logo Duplicate Hugging Face Logo Duplicate Chroma Logo Duplicate Index AI Logo DuplicateIndex AI Logo Duplicate

Tools & Platforms

Transform Your Skills into Career Opportunities

Real-World Projects

  • Students work on assignments similar to actual company work

  • Projects are reviewed, graded, and added to the portfolio.

 

Internship Experience

  • Not a classroom simulation—students get actual tasks, reports, deadlines, reviews

 

Career & Soft Skills Training

  • Resume building

  • Interview preparation

  • Communication & presentation skills

 

Placement Opportunity

  • Resume forwarded to hiring partners

  • Mock interviews and HR preparation

What You Will Receive

✅ Certification

✅ Real internship experience

✅ Project portfolio

✅ Career mentorship

✅ Placement opportunity

✅ Lifetime access to learning material

Who Is This Program For

  • Students with low confidence in technical/communication skills

  • Students with no industry experience

  • Final year students preparing for placements

  • Freshers struggling to crack interviews

You do not need prior experience — you learn everything from scratch.

Tools & Platforms

Logo Logo Logo Logo Logo Logo Logo Logo Logo Logo Logo

Why Choose Advanced Generative AI at Innomatics?

Why should you choose Innomatics

500+ Industry experts from Fortune 500 companies

Dedicated In-house data scientist team accessible round the clock

200+ Hours of intensive practical-oriented training

Flexible Online and Classroom training sessions

5+ Parallel Data science batches running currently on both weekdays & weekends

Backup Classes and Access to the Learning Management System (LMS)

One-to-one mentorship and Free Technical Support

Projects and use cases derived from businesses

Domain-focused teach-back sessions and reverse presentations

Free tech assistance and personalized career guidance

30+ POCs and use cases to work, learn, and experiment

Biweekly industry connections from industry experts from various sectors

Opportunity to participate in Meet-ups, Hackathons, and Conferences

Dedicated training programs for NON-IT professionals

100% Placement Assistance

Globally Recognized Certification from NASSCOM FutureSkills Prime

Curriculum Highlights

Module 1: Introduction To Artificial Intelligence

1. Introduction to AI
2. AI vs ML vs DL
3. Types of learning (Supervised, Unsupervised & Reinforcement)
4. Core Difference between ML and DL
5. Life Cycle of ML and DL Project

Module 2: Introduction To Generative AI

1. Introduction to Generative AI
2. Overview of generative AI technologies.
3. Applications and case studies across industries.

Module 3: Getting Started With Large Language Models

1. Into to large language Models
2. History of NLP
3. Intro to RNN,LSTM,GRU
4. Intro to Encoder Decoder Model

Module 4: Prompt Engineering And Working With LLM

1. Intro to Prompt Engineering
2. LLM with Prompt Engineering
3. Introduction to GPT models.
4. Understanding how GPT-3 and GPT-4 work
5. Training on popular LLMs like GPT (Generative Pre-trained Transformer).
6. Practical applications of LLMs in generating text, code, and more
Case Study: Creating a project with LLMS

Module 5: Working with Open AI API

1. Intro To Open Ai
2. Utilizing OpenAI APIs
3. Setting up and authenticating API usage.
4. Practical exercises using GPT-3/GPT-4 for text generation.
5. Understanding DALL-E and its capabilities in image generation.
📜Hands-on project to generate images from textual descriptions.

Module 6: Working with Google Gemini Gen API

1. Getting Started with Gemini
2. How to obtain an API key for Gemini.
3. Overview of the Gemini API and accessing its features.
4. Detailed exploration of different Gemini models.
5. Selecting and initializing the right model for specific tasks.
6. Step-by-step project to create an AI-powered chatbot using Gemini.

Module 7: Working with Meta’s LLaMA API

1. Introduction of LLaMA .
2. Comparison with other large language models like GPT-3 and GPT-4.
3. Key features and capabilities of LLaMA
4. Understanding the Model Architecture of LLaMA.
5. Discussion on model sizes and capabilities.
6. Environment setup: Installing necessary libraries and tools.7. Intro to the architecture of LLaMA models
8. Understanding the differences between LLaMA model variants (8B, 13B, 30B,
and 70B parameters)
9. Implementing text generation using LLaMA

Module 8: Working With Hugging Face Ecosystem

1. Introduction to the Hugging Face ecosystem and the Transformers library.
2. Exploring Hugging Face Models and Tokenizers.
3. Project:
4. Introduction to the Trainer API.
5. Integrating Hugging Face models with web application

Module 9: Building Gen AI Apps Using Lang Chain

1. Introduction to the LangChain framework
2. Understanding the purpose and core components of LangChain Framework
3. LangChain Setup and necessary dependencies
4. Basic configuration and setup for development
5. Step-by-step guide

Module 10: Intro To RAG

1. Intro To RAG
2. Building applications using RAG
3. LLMs in Depth
4. Fine Tuning LLMs
5. Training LLMs by Implementing Fine Tuning

Module 11: Stable Diffusion by Stability AI

1. Intro to Stable Diffusion
2. Fundamentals of Diffusion Models
3. Application of Stable Diffusion
4. Modifying image attributes and styles using prompt engineering
5. Parameters of image generation: seeds, prompts, and steps explained
6. Tool For Stable Diffusion
7. Fine-tuning and training Stable Diffusion on custom datasets
8. Advanced prompt engineering and achieving specific artistic effects.
9. Introduction to variations and derivatives of Stable Diffusion (e.g., DreamBooth
for personalization).
10.Using the Diffusion library for more control over the diffusion process.
11. Integrating Stable Diffusion models into web applications
12.Advance Stable Diffusion Techniques

Program highlights

Innomatics Placement Achievers

Meet the Success Stories of Our Innomatics

Career Opportunities after the Generative AI Course

Mock Interviews & Resume Makeover

Innomatics conducts structured mock interviews and professional resume optimization sessions to help learners present their skills confidently  hiring standards.

Project Portfolio Enhancement

Learners at Innomatics build and refine real-world projects that strengthen their portfolios and demonstrate practical full stack expertise to potential employers.

Access to Exclusive Job Portal & Placement Drives

Innomatics provides access to a dedicated job portal and curated placement drives, connecting learners with hiring partners and career opportunities.

Our career support guides you from resume-ready to interview-confident for top-tier roles.

This program is right for

Career Opportunities after the Generative AI Program

$28.36 billion

growth of the AI market by 2030

20 million

new AI-related roles by 2026

₹500 billion

GDP growth of India by 2026

Generative AI Developer

AI Engineer

NLP Engineer

AI Consultant

Data Engineer

Data Analyst

GenAI Engineer

Business Analyst

ML Engineer

Big Data Engineer

Career Opportunities after the Generative AI Program

Generative AI Developer

AI Engineer

NLP Engineer

AI Consultant

Data Engineer

Data Analyst

GenAI Engineer

Business Analyst

ML Engineer

Big Data Engineer

$28.36 billion

growth of the AI market by 2030

20 million

new AI-related roles by 2026

₹500 billion

GDP growth of India by 2026

Industry-Recognized Certification’s 

Course Completion Certificate

Internship Certificate

Interview Preparation Certificate

General Queries & Answers

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What will I learn in Generative AI Course?

In Generative AI course, you will learn how to find valuable data, analyze and apply mathematical skills to it to use in business for making great decisions, developing a product, forecasting, and building business strategies.

Are there any prerequisites to learn the Generative AI?

One need not have any major knowledge in Data Science. Proficiency in Python, Machine Learning, Deep Learning, and NLP is essential for this course

What is the average salary of a AI Engineer?

The salary of an AI engineer varies based on their skillset. Recent reports suggest that, on average, AI engineers earn ₹14,00,000 per year.

What are my takeaways after completion of the Generative AI course?
Based on the program you choose, you will get a course completion certificate from Innomatics.
What are the career opportunities in Generative AI Technology?

As data has become the never-ending part of this world, businesses need people to work with data for effective business processing. Organizations are ready to recruit and pay top dollars to the right dollars, which can leverage the business.

 

Here are some of the roles you can find in Generative AI

  • GenAI Engineer
  • AI Application Developer
  • Prompt Engineer
  • NLP Engineer
  • Machine Learning Engineer
  • AI Research Scientist
  • Deep Learning Engineer
  • Computer Vision Engineer