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|| Enhance Your Learning with BIT's Cutting Edge Platform

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|| What will I learn?

  • Understand the fundamental concepts and techniques of generative AI.
  • Implement and train various generative models using Python and deep learning frameworks.
  • Apply generative AI techniques to create new images, text, and other forms of content.
  • Evaluate the performance and quality of generative models.
  • Explore advanced topics in generative AI, such as style transfer and latent space manipulation.
  • Understand the ethical implications and societal impacts of generative AI.

|| What will I learn?

  • Understand the fundamental concepts and techniques of generative AI.
  • Implement and train various generative models using Python and deep learning frameworks.
  • Apply generative AI techniques to create new images, text, and other forms of content.
  • Evaluate the performance and quality of generative models.
  • Explore advanced topics in generative AI, such as style transfer and latent space manipulation.
  • Understand the ethical implications and societal impacts of generative AI.

|| Requirements

  • Proficiency in Python programming
  • Basic understanding of machine learning and deep learning concepts
  • Familiarity with neural networks and deep learning frameworks (TensorFlow, PyTorch)

|| Requirements

  • Proficiency in Python programming
  • Basic understanding of machine learning and deep learning concepts
  • Familiarity with neural networks and deep learning frameworks (TensorFlow, PyTorch)

    Our generative AI course content offers a comprehensive journey into the realm of artificial intelligence aimed at creating new content autonomously. Starting with foundational principles, students delve into the intricacies of probabilistic models, neural networks, and optimization algorithms. The course then progresses to explore various generative models, including autoregressive models, variational autoencoders (VAEs), and generative adversarial networks (GANs), uncovering their mechanisms for generating diverse and realistic content across multiple domains. Through hands-on projects and practical exercises, students gain practical experience in implementing and fine-tuning generative models on real-world datasets. Advanced topics such as conditional generation, style transfer, and unsupervised learning augment the curriculum, providing students with a comprehensive understanding of the latest advancements in generative AI. Ethical considerations surrounding the responsible use of generative AI, including concerns related to deepfakes and misinformation, are also addressed. By the course's conclusion, students emerge equipped with the knowledge and skills to contribute to the development of AI-driven creative tools and systems, poised to make meaningful contributions across industries ranging from art and entertainment to healthcare and beyond.

    Generative AI Learning Pathways ,Generative AI Roadmap ,Ml ,Artificial Intelligence , deep learning , Python ,Generative AI Community

    • Generative AI
    • Why are generative models required?
    • Understanding generative models and their significance
    • Generative AI v/s Discriminative Models
    • Recent advancements and research in generative AI
    • Gen AI end-to-end project lifecycle
    • Key applications of generative models


    • Text Preprocessing and Word Embedding
    • Segmentation and Tokenization
    • Change Case, Spell Correction
    • Stop Words Removal, Punctuations Removal, Remove White
    • spaces, Stemming and Lemmatization
    • Parts of Speech Tagging
    • Text Normalization, Rephrase Text
    • One hot encoding, 
    • Index-based encoding
    • Bag of words, 
    • TF-IDF
    • Word2Vec, 
    • FastText
    • N-Grams, Elimo
    • Bert-based encoding


    • Large Language Models(LLM)
    • In-depth intuition of Transformer-Attention all your need Paper
    • Guide to complete transformer tree
    • Transformer Architecture
    • Application and use cases of LLMs
    • Transfer learning in NLP
    • Pre-trained transformer-based models
    • How to perform finetuning of pre trained transformer based models
    • Mask language modeling


    • BERT- Google, GPT- OpenAI
    • T5- Google
    • Evaluations Matrixs of LLMs models
    • GPT-3 and 3.5 Turbo use cases
    • Learn how Chatgpt trained
    • Introduction to Chatgpt- 4


    • Hugging face And its Applications
    • Hugging Face Transformers
    • Hugging face API key generation
    • Hugging Face Transfer learning models based on the state-of-the-art transformer architecture
    • Fine-tuning using a pre-train models
    • Ready-to-use datasets and evaluation metrics for NLP.
    • Data Processing, Tokenizing and Feature Extraction with
    • Standardizing the Pipelining
    • Training and callbacks
    • Language Translation with Hugging Face Transformer


    • Generative AI with LLMs and LLM Powered Applications
    • Text summarization with hugging face
    • Language Translation with Hugging Face Transformer
    • Text to Image Generation with LLM with hugging face
    • Text to speech generation with LLM with hugging face


    • Guide to Open AI and its Ready to Use Models with Application
    • What is OpenAI API and how to generate OpenAI API key?
    • Installation of OpenAI package
    • Experiment in the OpenAI playground
    • How to setup your local development environment
    • Different templates for prompting
    • OpenAI Models GPT-3.5 Turbo DALL-E 2, Whisper, Clip,
    • Davinci and GPT-4 with practical implementation
    • OpenAI Embeddings and Moderation with Practical
    • Implementation of Chat completion API,


    • Functional calling and Completion API
    • How to manage the Tokens
    • Different Tactics for getting an Optimize result
    • mage Generation with OpenAI LLM model
    • Speech to text with OpenAI
    • Use of Moderation for content complies with OpenAI
    • Understand rate limits, error codes in OpenAPI
    • OpenAI plugins connect ChatGPT to third-party applications.
    • How to do fine-tuning with custom data
    • Project: Finetuning of GPT-3 model for text classification
    • Project: Telegram bot using OpenAI API with GPT-3.5 turbo
    • Project: Generating YouTube Transcript with Whisper
    • Project: Image generation with DALL-E
    • Prompt Engineering Mastering with OpenAI


    • Introduction to Prompt Engineering
    • Different templates for prompting
    • Prompt Engineering: What & Why?
    • Prompt Engineering & ChatGPT Custom Instructions
    • The Core Elements Of A Good Prompt
    • Which Context Should You Add?
    • Zero- One- & Few-Shot Prompting
    • Using Output Templates
    • Providing Cues & Hints To ChatGPT
    • Separating Instructions From Content
    • Ask-Before-Answer Prompting
    • Perspective Prompting
    • Contextual Prompting
    • Emotional Prompting
    • Laddering Prompting
    • Using ChatGPT For Prompting
    • Find Out Which Information Is Missing
    • Self-evaluative Prompting
    • ChatGPT-powered Problem Splitting
    • Reversing Roles
    • More Prompts & Finding Prompt Inspirations
    • Super Prompts Like CAN & DAN


    • Vector database with Python for LLM Use Cases
    • Storing and retrieving vector data in SQLite
    • Chromadb local vector database part1 setup and data insertion
    • Query vector data
    • Fetch data by vector id
    • Database operation: create, update, retrieve, deletion, insert and
    • update
    • Application in semantic search
    • Building AI chat agent with langchain and openai
    • Weviate Vector Database
    • Pinecone Vector Database


    • Hands-on with LangChain
    • Practical Guide to LlamaIndex with LLMs
    • Bonus: Additional Productive Tools to Explore
    • Chainlit ( async Python framework)
    • LIDA (Automatic Generation of Visualizations and
    • Infographics)
    • Slidesgo ( AI Presentation Maker )
    • Content Creation (Jasper, Copy.ai, Anyword)
    • Grammar checkers and rewording tools (Grammarly, Wordtune,
    • ProWritingAid)
    • Video creation (Descript, Wondershare Filmora, Runway)
    • Image generation (DALL·E 2, Midjourney)
    • Research (Genei, Aomni)

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|| Become an Expert in Generative AI 

generative AI Skills to Master ,Deep learning Fundamentals ,Generative Models ,Probability and Statistics ,Programming Skills  ,Creative Thinking ,Domain Knowledge

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|| Scope of Generative AI in India

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|| Generative AI  Career Option in India

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|| Generative AI holds a prominent Position in Indian Job Market

In India, the landscape for generative AI placement opportunities is burgeoning, driven by a convergence of technological innovation and industry demand. Companies across diverse sectors such as e-commerce, healthcare, entertainment, and finance are increasingly recognizing the transformative potential of generative AI and actively seeking skilled professionals to harness its capabilities. From creating personalized user experiences to optimizing business operations and driving innovation, the applications of generative AI are vast and varied. Startups, established enterprises, research institutions, and consulting firms are all actively recruiting talent proficient in generative AI algorithms and techniques. With India's vibrant tech ecosystem, entrepreneurial spirit, and burgeoning AI talent pool, individuals skilled in generative AI have ample opportunities to secure rewarding positions and make meaningful contributions to cutting-edge projects and initiatives. Whether it's developing AI-driven content creation tools, enhancing virtual experiences, or solving complex business challenges, the placement opportunities for generative AI professionals in India are abundant and promising, reflecting the country's position as a key player in the global AI landscape.

|| Job Roles and Salary

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|| Average Salary for Generative AI in India

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|| Top Hiring Companies

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|| Some Prominent Companies in India that use Generative AI

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|| Get Certified, Get Ahead

Three easy steps will unlock your Generative AI Certification:


  • Finish the online / offline course of Generative AI Course and the Assignment
  • Take on and successfully complete a number of industry-based Projects
  • Pass the Generative AI   certification exam


The certificate for this Generative AI course will be sent to you through our learning management system, where you can also download it. Add  a link to your certificate to your CV or LinkedIn profile.



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|| Frequently asked question

BIT offers a wide range of programs catering to various interests and career paths. These may include academic courses, vocational training, professional development, and more. Please visit our website – www.bitbaroda.com or contact our admissions office at M.9328994901 for a complete list of programs.

This course is suitable for students, professionals, and enthusiasts interested in exploring the field of generative AI. It caters to individuals with varying levels of experience, from beginners with no prior knowledge to experienced practitioners looking to specialize in generative modeling techniques.

Most reputable Generative AI courses offer a certificate of completion, which can enhance your credentials and be added to your resume or LinkedIn profile. It's essential to verify the accreditation and recognition of the issuing institution or organization.

Yes, many Generative AI courses are available online, offering flexibility in terms of timing and location. Online courses often provide video lectures, interactive exercises, and discussion forums to facilitate learning.

For any questions or assistance regarding the enrolment process, admissions requirements, or program details, please don't hesitate to reach out to our friendly admissions team. Please visit our website – www.bitbaroda.com or contact our admissions office at M.9328994901 for a complete list of programs or Visit Our Centers – Sayajigunj, Waghodia Road, Manjalpur in Vadodara, Anand, Nadiad, Ahmedabad

BIT prides itself on providing high-quality education, personalized attention, and hands-on learning experiences. Our dedicated faculty, state-of-the-art facilities, industry partnerships, and commitment to student success make us a preferred choice for students seeking a rewarding educational journey.

BIT committed to supporting students throughout their academic journey. We offer a range of support services, including academic advising, tutoring, career counselling, and wellness resources. Our goal is to ensure that every student has the tools and support they need to succeed.
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