Explore Our Advanced Generative AI Program

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

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.

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.

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

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
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
Why Choose Advanced Generative AI at 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.
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





























