Master Generative AI: Real-Time Training and Certification Online

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    GENERATIVE AI

    About the Course

    Generative AI (GenAI) is a branch of artificial intelligence that creates new content, such as images, music, text, and videos, by learning patterns from large datasets. Unlike traditional AI, which analyzes existing data, GenAI generates entirely new, synthetic content. This makes Generative AI a versatile tool for industries like art, entertainment, marketing, and many more.

    The importance of GenAI lies in its ability to transform various sectors by enabling creative innovation and improving efficiency. From personalized learning in education to enhanced drug discovery in healthcare, Generative AI is reshaping industries and offering new opportunities for growth and development. As Generative AI continues to evolve, it provides a promising avenue for those looking to pursue careers in technology, including Generative AI courses online with certification and real-time training.

    Program Highlights

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    Capstone Projects

    Hands-on Learning

    Industry-Aligned Curriculum

    Career guidance

    Accredited Certification

    Future-Ready Skills

    AI-powered Resume building

    Leading the way in practical education

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    Master Generative AI Course Curriculum

    This course offers a comprehensive introduction to Generative AI, equipping students with the skills needed to develop and deploy AI models that can create new content such as text, images, audio, and code. Students will learn how to work with leading-edge tools and frameworks like OpenAI’s GPT, DALL·E, Stable Diffusion, and more, while gaining a solid foundation in deep learning and neural network architectures.

    A Generative AI course typically includes key topics such as transformer models, natural language processing (NLP), text generation, image synthesis, and prompt engineering. Students will learn how to fine-tune pre-trained models, evaluate model outputs, handle ethical considerations, and deploy generative models in real-world applications. The course also emphasizes hands-on learning with real-world projects in areas like content creation, chatbots, synthetic media, and AI-assisted design.

    By the end of the course, learners will be prepared for roles such as Generative AI Developer, AI Product Specialist, or Machine Learning Engineer, with practical experience in building and optimizing generative models across multiple modalities.

    GTR Academy FAQ
    Module 1: Detailed Understanding of Generative AI
    • Foundations of AI and ML: Difference between discriminative vs
      generative models
    • Introduction to key Generative AI models
    • The evolution from GPT-2 to GPT-4 / GPT-4o and beyond
    • How GenAI models are trained, evaluated, and deployed
    • Understanding ethical, legal, and societal implications (bias,
      misinformation, hallucinations)
    • LLMs (Large Language Models): Architecture overview
    • (Transformers), Pretraining vs Fine-tuning, RLHF, Inference
    • Embeddings: Vector representations, semantic similarity, use in
      search, recommendation, and RAG.
    • Prompt Engineering: Role prompting, chain-of-thought, few-shot
      prompting, constraint-based prompting
    • Prompt testing, evaluation metrics, and iterative refinement
    • Fine-Tuning: When to fine-tune vs use APIs
    • Tools: Hugging Face, LangChain, OpenAI API
    • Selecting a base model (GPT, Claude, open-source alternatives)
    • Designing conversation flow and behavior using prompt chaining
    • Integrating memory, tools (search, calculators), and APIs
    • Adding an open source UI to different models
    • Shift from LLMs to multi-modal AI (text, image, video, code)
    • Role of agents and tool-use
    • Open-source vs proprietary ecosystems
    • Compliance, safety layers, and trust-building in enterprise GenAI
    • Emerging roles: AI product managers, prompt engineers, AI
      ethics leads
    • Introduction to VAEs

    • Understanding Autoencoders and Variational Autoencoders

    • Mathematical Foundations of VAEs

    • Applications of VAEs in Image Generation and Data Imputation

    • Hands-on Project: Building and Training a VAE

    Who is this course for?

    Training Delivery

    Discovery call

    A call to evaluate training requirements and adjust course and delivery accordingly.

    Tech call with the Certified Instructor

    A call with the Certified Instructor to address specific queries and requirements.

    Design of Customized Curriculum

    Tailored curriculum to meet specific learning objectives and organizational needs.

    Training and Access to LMS

    Commencement of training sessions along with access to the Learning Management System.

    Live training

    Live training sessions conducted in real time to facilitate interactive learning experiences.

    Hands on Role Based training with Labs

    Interactive training featuring hands on exercises and specialized labs tailored to specific skillset

    Course Materials Access using LMS

    Access course materials conveniently through the Learning Management System.

    Student Progress Metrics

    Monitor student progress through comprehensive metrics and analytics.

    Final Quiz in Gamification style

    Concluding the training with a gamified final quiz to engage learners and reinforce key concepts.

    Certificate of Completion (Verifiable)

    Participants provided with a verifiable Certificate of Completion upon successfully finishing the training.

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    Generative AI

    Classroom / Live Online​
    49999
    • Generative AI classes at ₹49,999 + GST with unlimited mocks, a comprehensive question bank, and personalized doubt solving.

    Generative AI

    Recorded 6 Months Access
    14999
    • Generative AI classes with unlimited mocks, a comprehensive question bank, and personalized doubt solving.































                Starting Live Classes Batch Date Batch Timing Weekend Batches
                Data Science AI 22th June 2:00 PM - 5:00 PM
                SAP SD 28th June 10:00 AM - 1:00 PM