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Generative AI Course

4,599 Ratings

  • Learn Generative AI from top Microsoft certified experts & IIT Faculty
  • 20+ projects, live hackathons, and deep GenAI expertise
  • 3 guaranteed interviews upon movement to the Placement Pool
  • Get Microsoft & iHUB IIT Roorkee certification upon course completion
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Microsoft
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Key Highlights

105 Hrs Live Instructor-Led Training
100 Hrs+ of Top Self-Paced Videos
Projects & Hackathons
Microsoft Certification
Flexible Learning Schedule
Lifetime Free Course Upgrade
Access to Microsoft Materials
24/7 Learning Support
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Generative AI Course Overview

What are the key objectives of this Generative AI course?

  • Mastering the principles of Generative AI prompting to craft accurate, bias-free AI responses.
  • Understand and fine-tune LLMs using techniques like LoRA, QLoRA, and RAG.
  • Build real-world GenAI applications like chatbots, content generators, and AI agents.
  • Gain hands-on experience through 20+ projects and live hackathons.
  • Prepare for high-growth roles like Prompt Engineer, AI Developer, and GenAI Specialist.
  • Course 1: Python refresher course to help you get up to speed with Python programming
  • Course 2: Introduction to NLP and Text Processing
  • Course 3: Core NLP tasks
  • Course 4: Introduction to Generative AI, key concepts, applications and ChatGPT functions
  • Course 5: Advanced Gen AI models, architecture and Generative Adversarial Networks (GAN)
  • Course 6: Building Large Language Models (LLMs), customization and fine-tuning for tasks
  • Course 7: Introduction to Agentic AI, building custom AI agents using LangGraph, LangSmith and more
  • Course 8: Image generation with AI, Autoencoders, Diffusion models and Stable Diffusion
  • Course 9: Building your own Generative AI model with Prompt Engineering methodology
  • Course 10: Real-world case studies and projects that provide hands-on Gen AI experience

Here are the key skills you will learn in the Generative AI course:

  1. Prompt Engineering – Design effective prompts for accurate and context-aware AI outputs
  2. LLM Fine-Tuning – Apply techniques like LoRA, QLoRA, and embeddings
  3. RAG Systems – Build Retrieval-Augmented Generation pipelines using LangChain & LlamaIndex
  4. AI Tools & Frameworks – Work with OpenAI APIs, Hugging Face, AutoGen, Gradio, and more
  5. Bias & Hallucination Mitigation – Identify and reduce errors in AI-generated content
  6. Agentic Workflows – Build intelligent AI agents with multi-step reasoning
  7. Model Deployment – Deploy GenAI apps using Docker, Kubernetes, and containerized environments
  8. Real-World Applications – Develop chatbots, content generators, summarizers, and more
  • Ever since ChatGPT burst onto the world stage, prompt engineering skills are in demand
  • Businesses of all kinds are relying on LLMs thus making prompt engineering a top talent
  • Gen AI Prompt Engineers can command lucrative salaries and things can only get better
  • It is stimulating to work on innovative Gen AI projects that have huge business implications
  • Be at the forefront of AI revolution using creative problem-solving skills for a coveted career
  • Artificial Intelligence job listings rose 42% compared to December 2022 – Wall Street Journal

Upon completion of this Generative AI course, you will be qualified for high-demand roles such as Prompt Engineer, ML Engineer, GenAI Data Scientist. Top companies like Google, Microsoft, Apple, Amazon and Facebook are actively hiring for candidates with high packages.

According to recruitment firm TeamLease, In India over 22,000 new jobs in this domain have been created in just over six months and certified AI Prompt Engineers can earn a salary of over ₹ 20 lakhs per year in India.

Here’s a list of the top Gen AI job roles and the average salaries in the United States:

Generative AI Job Roles Average Salaries
Machine Learning Engineer $110,000 – $160,000
Gen AI Data Scientist $100,000 – $150,000
AI Research Scientist $120,000 – $180,000
AI Product Manager $120,000 – $170,000
AI Ethics Specialist $90,000 – $140,000
Data Engineer $90,000 – $130,000
NLP Engineer $100,000 – $150,000
Computer Vision Engineer $100,000 – $150,000
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45% Average Salary Hike

$1,14,000 Highest Salary

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What are the top job roles for Generative AI?

Gen AI Prompt Engineer

Designs AI prompts to train Gen AI models. Works with developers and Data Scientists to test and improve the AI prompts.

AI Research Scientist

Advances the scope of Gen AI models. Researches new algorithms, improves architecture for seamless human-AI interface.

AI Product Manager

Oversees the development of Gen AI products. Works with engineering, design and marketing teams to fulfil product goals.

Machine Learning Engineer

Builds ML models that generate AI content. Works on the ML lifecycle from data prep to AI model training and deployment.

Gen AI Data Scientist

Extracts data from diverse sources to train Gen AI models. Ensures data diversity and robustness for improved AI output.

AI Ethics Specialist

Evaluates ethical aspects of Gen AI. Develops tools, frameworks and guidelines to ensure responsible Gen AI practices.

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Skills Covered under this Course

Generative AI

Prompt Engineering

ChatGPT

Explainable AI

Large Language Models

Generative AI Architectures

Generative AI Models

Machine Learning Algorithms

Model Training and Optimization

Ensemble Methods

Deep Learning

Natural Language Processing

Computer Vision

Reinforcement Learning

Generative AI for Businesses

Supervised and Unsupervised Learning

Model Evaluation and Validation

Agentic AI Workflows

LangGraph

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Gen AI Course Fees

Online Classroom Preferred

Weekend (Sat-Sun)

29 Jun 2025 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

05 Jul 2025 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

12 Jul 2025 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

19 Jul 2025 08:00 PM - 11:00 PM
₹99,009 10% OFF Expires in

EMI Starts at

₹5,000

We partnered with financing companies to provide very competitive finance options at 0% interest rate

Financing Partners

EMI Partner

The credit facility is provided by a third-party financing company and any arrangement with such financing companies is outside Intellipaat’s purview.

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  • Enterprise Grade Learning Management System (LMS)
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Generative AI Course Curriculum

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Python Bootcamp

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  • Installation of Python and IDEs: Guidance on installing Python and setting up IDEs like PyCharm.
  • Jupyter and Colab Notebook Usage: Introduction to using Jupyter Notebooks and Google Colab for coding.
  • Understanding Variables and Data Types: Overview of Python variables and data types.
  • Control Flow with Loops and Conditional Statements: Instruction on using loops and conditionals.
  • Functions and OOP Concepts: Basics of defining functions and an introduction to OOP principles.
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  • Overview of Natural Language Processing, key use cases like chatbots, translation, and information extraction.
  • Techniques such as lowercasing, punctuation removal, stopword filtering, stemming, and lemmatization using NLTK/spaCy.
  • Breaking text into words or sentences using tools like NLTK and spaCy; explanation of token types.
  • Using regex for pattern matching, data cleaning, and extracting structured information from raw text.
  • Converting text to numerical form using Bag-of-Words, TF-IDF, and an introduction to word embeddings.
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  • Categorizing text data using machine learning models; use cases like spam detection and sentiment analysis.
  • Use NER to identify proper nouns (names, organizations, locations) in text using libraries like spaCy.
  • Assigning grammatical tags to words to understand sentence structure
  • Analyzing syntactic structure and relationships between words in a sentence via Part-of-Speech (POS) Tagging.
  • Generating concise summaries and detecting emotions in text using modern NLP models using Text Summarization and Sentiment Analysis.
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  • Overview of Generative AI: Understanding the fundamental concepts and significance of generative AI.
  • Key Concepts and Applications: Exploration of key concepts and real-world applications.
  • Basics of Prompt Engineering: Introduction to techniques for interacting with generative AI models.
  • ChatGPT Functionality: Examination of how ChatGPT operates, including strengths and limitations.
  • Hands-on Skills Development: Practical exercises to develop skills in utilizing generative AI tools.
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  • Generative Models Introduction: Overview of different types of generative models and their architectures.
  • Variational Autoencoders (VAEs): Study of VAEs and their use for generating new data points.
  • Generative Adversarial Networks (GANs): Exploration of GANs, their structure, and applications.
  • Transformers and Attention Mechanisms: Introduction to transformer architecture and attention mechanisms.
  • Comparative Analysis of Models: Evaluation of strengths and weaknesses of various generative models.
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  • LangChain and Workflow Design: Introduction to LangChain for designing workflows with language models.
  • Advanced Prompt Engineering Techniques: Techniques for crafting effective prompts for language models.
  • LLM Application Development: Step-by-step guidance on developing applications using LLMs.
  • Retrieval-Augmented Generation (RAG): Understanding the RAG framework for enhancing language models.
  • LLM Fine-Tuning and Customization: Techniques for fine-tuning models for specific tasks.
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  • Exploring Agentic Frameworks and How They Can Be Used.
  • Learning about Open-Source Agent Frameworks like LangGraph, LangSmith, and more.
  • Fundamental Concepts of Agency: Information Retention, Objective Formulation, and Responsive Engagements.
  • AI agents: To make decisions dynamically and react to inputs in a responsive manner.
  • Step-by-step live demonstration on how to build and debug agents.
  • Interactive Workshop: Creating, Testing, and Perfecting Your Own Custom AI Agents.
  • Assessing the performance of agents and implementing iterative improvements.
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  • Understanding Autoencoders: Exploration of autoencoders in image generation and data compression.
  • Concept of Diffusers: Pretrained diffusion models for generating images
  • Stable Diffusion Overview: Introduction to Stable Diffusion for generating images from text.
  • Denoising: Concept of removing noise from a signal.
  • Practical Image Generation Projects: Hands-on projects applying image generation techniques.
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  • Governance Framework Overview: Introduction to governance frameworks for deploying generative AI.
  • Ethical Considerations: Discussion of ethical implications and challenges in generative AI.
  • Regulatory Compliance: Overview of existing regulations governing AI technologies.
  • Best Practices for Responsible Use: Identification of best practices for ethical use of generative AI.
  • Future Trends and Challenges: Exploration of future trends and challenges in generative AI governance.
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  • Introduction to deployment workflows for LLM-based applications
  • Building and serving GenAI models as REST APIs using FastAPI
  • Creating interactive demos using Gradio and Streamlit
  • Containerizing applications with Docker for scalable deployment
  • Deploying on cloud platforms like AWS, GCP, and Hugging Face Spaces
  • Monitoring, scaling, and maintaining production-grade GenAI apps
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  • Understand the importance of evaluating LLM outputs for accuracy, relevance, and safety
  • Learn key evaluation metrics: BLEU, ROUGE, METEOR, perplexity, and human feedback loops
  • Identify and mitigate issues like hallucination, bias, and prompt injection
  • Perform adversarial testing and robustness checks for GenAI applications
  • Explore automated vs manual evaluation strategies for different GenAI tasks
  • Project work: Evaluate and compare multiple LLM outputs across real-world use cases
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Advanced Certification in Generative AI

Generative AI Certification

Master Generative AI & Prompt Engineering with Industry-Ready Skills and project based learning

  • Get certified by iHUB, IIT Roorkee – the Technology Innovation Hub of IIT Roorkee
  • Learn from IIT faculty and leading AI professionals
  • Access placement support and job opportunities with 3100+ hiring partners

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Generative AI Course FAQs

What is Generative AI and why is it so trending?

Generative AI refers to Artificial Intelligence systems capable to generate high quality text, image, video and other forms of content. It is most trending topic on the internet today due to tools like ChatGPT that mimic human-like intelligence. Generative AI models are able to generate thought-provoking poetry, vivid images and fascinating videos. With the rise and growth ChatGPT, a whole new world of possibilities has arisen in the fields of like content creation, marketing, healthcare, and software development.

The Prompt Engineer provides the right training environment for a Gen AI models. Based on the input prompts, the model learns and gets better with experience. The Generative AI model is able to recognize patterns, structures and relationships within the input training data. They also optimize model behavior, troubleshoot issues like hallucination, and fine-tune LLM outputs.

You’ll build real-world GenAI applications like custom chatbots, content generators, RAG pipelines, agentic AI tools, and prompt-optimized apps using LangChain, OpenAI, and Hugging Face APIs.

When it comes to the business benefits of Generative AI, we are just scratching the surface. Gen AI has a whole host of benefits in diverse industries. Currently, Gen AI models are being used in the media, entertainment, fashion, automobile, manufacturing, customer service and marketing domains. According to the most conservative estimates, the market for Gen AI is going to reach over $200 billion by 2032. According to market research firm Gartner, just by 2025 over 10% of the entire data will be created by AI alone. Now, you can estimate the benefits of Gen AI and its immense potential in the business world.

Basic programming knowledge is good to have, but not mandatory. Curiosity to learn about AI, Gen AI tools and automation is enough to get started.

All those looking to build an exciting career in the domain of Generative AI should enrol for this AI Prompt Engineer course. This course is ideal for freshers, developers, data scientists, product managers, marketers, and anyone looking to build or transition into a GenAI role. Working Professionals looking to build their career in Gen AI & Prompt Engineering.

Yes, the course includes practical exposure to key tools like LangChain, OpenAI APIs, Hugging Face Transformers, Gradio, and more.

The course is designed and delivered by top subject matter experts from IITs and the industry. It follows a practical, hands-on approach with real-world projects, lab exercises, and in-depth training in LLMs, agents, prompt engineering, and deployment—ensuring complete job readiness.

The certification is provided by iHUB IIT Roorkee & Microsoft. This is widely respected in the AI industry. It validates your ability to work on GenAI projects and enhances your hiring potential.

Upon course completion, you will receive placement assistance which includes resume building, mock interviews, and inclusion in our hiring partner network.

At Intellipaat, our instructors are carefully selected to ensure the right blend of industry expertise and research knowledge that enables offering a real-world Gen AI learning experience.

Intellipaat provides 24/7 query resolution to ensure an effective learning experience. You can raise a ticket with our dedicated support team for assistance or request a one-on-one session for doubt clarification. Please note, one-on-one session support is available for up to 6 months from the start date of your Generative AI course.

Yes, after submission of the project work you have to pass the Placement Readiness Test (PRT) to land into the placement pool. We will assist you in applying for companies looking for Gen AI or Prompt engineering job roles.

We don’t guarantee a job, but we provide complete support to help you land your dream role in Gen AI or Prompt Engineering. From interview opportunities with top companies to career guidance, we ensure well-deserving candidates are able to succeed.

Intellipaat offers advanced AI and ML courses tailored to industry needs. Based on your interest, you can explore our industry-focused certification or degree programs, including the current Generative AI certification.

  • Executive Professional Certification Program in Generative AI & Machine Learning
  • Executive Post Graduate Certification in Data Science & Artificial Intelligence
  • Advanced Certification in Data Science and Artificial Intelligence Course
  • MTech in Artificial Intelligence and Machine Learning
  • Master’s Degree in Artificial Intelligence Online by IU – 12 Months
  • Master’s Degree (M.Sc.) in Artificial Intelligence by IU – 2 Years
  • MTech in Applied AI & Communications
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