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Generative AI Course  

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Perks of learning Generative AI Course

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Program Overview of Generative AI Course

overview
The Generative AI Course provides a comprehensive journey into creating advanced generative AI models. Beginning with Python, you will learn to build and fine-tune large language models (LLMs) and multimodal AI systems. Throughout the course, you will explore key generative AI models like Llama2 and Stable Diffusion, and understand how to leverage AI frameworks such as PyTorch and LangChain for efficient development. You’ll also dive into tools like LoRA and Retrieval-Augmented Generation (RAG), and work with AI-focused databases including Pinecone, FAISS, and ChromaDB. By the end of the program, you will be fully equipped to develop, optimize, and deploy cutting-edge generative AI models for a variety of practical applications.

Who Is This Program For?

The Generative AI Specialization Course is designed for a wide range of professionals and enthusiasts who are eager to dive into the world of advanced AI technologies. This program is ideal for:

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Course learning objectives

By the end of the Generative AI Specialization course, learners will be able to:

Skills you'll gain with Generative AI Specialization Course

Python Programming

Statistics and Probability

Calculus for AI

Vector Algebra

Transformer Models

Natural Language Processing (NLP)

GPT Architecture

Neural Networks (MLP, CNN, RNN)

Diffusion Models

Large Language Models (LLMs)

Model Fine-Tuning (LoRA, RAG)

Generative Adversarial Networks (GANs)

Multimodal AI (Text, Image, Sound)

Vector Databases (Pinecone, FAISS, ChromaDB)

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AI Frameworks and tools

PyTorch
Flexible Framework for Deep Learning

PyTorch is one of the most popular frameworks for developing deep learning models. Its dynamic nature makes it popular for research and production, helping users build neural networks for various applications like image recognition and NLP.

PyTorch

AI Architectures & Fine-Tuning

Master Advanced AI Models & Techniques

In this course, you'll explore the latest AI architectures and their fine-tuning techniques, gaining hands-on experience with state-of-the-art models used in industries such as healthcare, finance, and language generation.

LLaMA3

LLaMA3

What it is

LLaMA3 is Meta’s newest large language model designed for long-form text generation, translation, and NLP tasks. It now supports over 30 languages and has been trained on 15 trillion tokens, offering improved efficiency, accuracy, and faster performance compared to earlier versions.

Fine-Tuning

With LoRA (Low-Rank Adaptation) and RAG (Retrieval-Augmented Generation), LLaMA3 can be fine-tuned to deliver highly efficient, relevant, and cost-effective outputs, while using fewer computational resources.

Applications

Used in NLP tasks like chatbots, language translation, and text summarization. Custom conversational AI for enterprises. Large-scale text generation and document summarization.

Mistral

Mistral

What it is

Mistral is a lightweight and powerful model optimized for domain-specific tasks in industries like finance and healthcare. It offers exceptional precision while being adaptable to smaller, niche applications with minimal resource usage.

Fine-Tuning

Mistral uses LoRA to minimize computational costs while enhancing domain-specific outputs, making it ideal for high-quality results in specialized tasks.

Applications

Used in medical diagnoses and clinical data analysis. Financial risk assessments, fraud detection, and algorithmic predictions. Niche tasks requiring targeted AI solutions for smaller datasets.

Gemini

Gemini

What it is

Gemini is Google DeepMind’s most advanced multimodal model, combining vision, language, and reasoning into one unified system. It excels in complex tasks like image understanding, text generation, and multimodal reasoning with high accuracy.

Fine-Tuning

Gemini supports advanced fine-tuning methods, enabling optimized performance for multimodal tasks involving text, vision, and audio. This ensures high adaptability across various industries.

Applications

Used in creative content generation integrating images and text. Development of autonomous agents and decision-making systems. Visual understanding tasks like object detection and multimodal reasoning.

Techniques Explained for Generative AI

LoRA (Low-Rank Adaptation)

LoRA (Low-Rank Adaptation)

What it is

LoRA fine-tunes large models by focusing on specific layers, reducing the number of trainable parameters. This enables faster and more efficient customization of massive models like LLaMA3 and Gemini.

How it works

LoRA adapts the model weights by introducing low-rank matrices, ensuring fine-tuning is lightweight while maintaining high performance.

Why it matters

LoRA is ideal for low-resource environments, enabling businesses to fine-tune models cost-effectively without retraining the full model.

RAG (Retrieval-Augmented Generation)

RAG (Retrieval-Augmented Generation)

What it is

RAG improves model outputs by retrieving real-time information from external sources. It combines a retrieval system with a pre-trained language model to produce accurate, context-aware responses.

How it works

RAG searches for relevant documents during inference and integrates the retrieved content into the model’s generation pipeline. This ensures answers are grounded in external knowledge.

Why it matters

RAG is perfect for tasks requiring up-to-date factual information, such as: Customer support systems. Research tools. Dynamic question-answering systems.

Multimodal Techniques

Multimodal Techniques

What it is

Multimodal AI integrates text, images, and other data types into a single model. Models like Gemini and LLaMA3 Vision combine modalities to deliver advanced reasoning and generation capabilities.

How it works

Multimodal systems process multiple inputs (e.g., images and text), align them into a shared representation, and generate outputs that combine insights from all modalities.

Why it matters

Multimodal techniques power: Visual Question Answering (VQA) for understanding images and text. Content generation blending visuals and natural language. Autonomous systems that require diverse input analysis for decision-making.

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Gen AI Course Roadmap

roadmap

Course Curriculum for Generative AI Course

Industry recognized training Certificate
Upon completing our course, you will receive an industry-recognized training certificate, one of its biggest benefits. Use it to seek your fair share of a salary rise and demonstrate your newly acquired competence to your employer!
data analytics for ai certificate

What Sets Us Apart?

FeatureOur ProgramOther Courses
Expert-Led Sessions 24 weeks of instruction from top-tier professionals with industry experience Often lack guidance from seasoned experts, relying on less experienced instructors
Flexible Learning Options Accessible 24/7 with over 150 hours of on-demand content Limited accessibility and rigid learning schedules
Practical Assessments 15 practical assessments for hands-on practice Minimal practical exposure and hands-on opportunities
Real-World Assignments Engage in 14+ real-world assignments directly linked to industry challenges Minimal practical exposure and hands-on opportunities
Live Doubt-Clearing Sessions 11 live sessions with experts for doubt resolution Limited opportunities for real-time support and query resolution
Capstone Projects 2-3 capstone projects applying skills to real-world problems Few or no chances to work on substantial, real-world projects
Live Interviews 5 mock interviews to prepare you for the real world Lack of structured live interview preparation
Mock Interviews 10 mock interviews to prepare for real job scenarios Lack of structured mock interview preparation
Career and Placement Support Comprehensive support for job placements, including resume reviews and salary negotiation tips Often lack continuous support for career advancement and placement

Fee Structure

We provide a really competitive rate in the market as the best Gen AI training institute in Gurgaon. Our course fee for the entire course is:
One-Time Payment with Placement Assurance.
  • Refund of up to 70% if you don’t get placed within 10 months (maximum refund ₹49,000).

Additional Benefits:

  • Job Assistance: Our program ensures support until you secure a role. 100% Placement Program: We are fully committed to helping you find the right opportunity.
  • Real-World Projects: Gain hands-on experience with projects based on real industry scenarios.
  • Comprehensive Curriculum: Gain expertise in generative AI across text, image, and audio applications, including multimodal AI.
One-time Payment
₹84,999
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Testimonials of our Successful Learners

What our learners have to say

"This Generative AI course was a turning point in my career. The curriculum was perfectly designed, covering topics like RAG, diffusion models, and Vision Transformers. The hands-on projects and real-world applications gave me the confidence to solve complex AI problems. With excellent placement support, I secured a role as a Gen AI Engineer. Highly recommended for anyone passionate about Generative AI."
Aditi Sharma
Gen AI Engineer
"The Generative AI course provided an excellent balance of foundational concepts and advanced topics like multimodal AI, contrastive learning, and diffusion models. The real-world projects were incredibly practical, and the placement assistance helped me transition into a Deep Learning Engineer role. This course is ideal for anyone looking to build a strong career in AI."
Ravi Patel
Deep Learning Engineer
"Enrolling in this Generative AI course was one of the best decisions I made for my career. The curriculum covered everything from transformer architectures to multimodal systems, and the project-based approach made learning engaging. With the placement team’s support, I landed a role as an AI Engineer."
Neha Gupta
AI Engineer
"This course stood out because of its focus on real-world applications of Generative AI. From learning RAG techniques to understanding Vision Transformers and diffusion models, I gained industry-ready skills. The placement support was excellent, helping me secure a role as a Machine Learning Engineer. This Generative AI course is a great investment in your future."
Arjun Singh
Machine Learning Engineer
"The Generative AI course exceeded my expectations, providing in-depth training on cutting-edge technologies like multimodal systems and diffusion models. The practical projects allowed me to apply my knowledge, and the placement team’s assistance was invaluable. I’m now thriving as a Deep Learning Engineer, thanks to this program."
Sanya Mehta
Deep Learning Engineer
"This Generative AI course provided me with a comprehensive understanding of advanced topics like transformer models, RAG, and diffusion systems. The real-world projects and hands-on training gave me the skills to excel in my role. The placement assistance was outstanding, helping me secure a job as an AI Engineer."
Vikram Rao
AI Engineer
"The course offered everything I needed to excel in Generative AI, from foundational learning to practical implementation of diffusion models and multimodal AI. The hands-on projects helped me build a strong portfolio, and the placement team guided me to a role as a Gen AI Engineer. I highly recommend this Generative AI course."
Kavita Joshi
Gen AI Engineer
"The Generative AI course was perfectly structured to cover everything from basics to advanced techniques like Vision Transformers and RAG. The practical applications and project work were extremely beneficial, and the placement team supported me in securing a role as a Deep Learning Engineer. This course is a must for anyone serious about AI."
Manoj Kumar
Deep Learning Engineer

Frequently Asked Questions About Generative AI Specialization

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