Master the latest From big language models to tools and methods for making images, audio, and videos, generative AI is all about making things. Through hands-on projects, you'll learn how to do prompt engineering, fine-tuning, and real-world applications. You'll also learn how to make powerful AI-driven solutions for business, creativity, and automation.
Level
Advanced
Duration
8 WEEKS
The Master in Generative AI Training program gives students the in-depth knowledge and hands-on experience they need to make the most of modern AI technologies. This full course covers the basics of AI and deep learning, large language models, and advanced generative methods for making text, images, audio, and video. Participants will learn about prompt engineering, fine-tuning models, and using AI in real-world situations like making content, marketing, helping customers, analyzing data, and automating tasks. Students will learn how to design, build, and deploy powerful AI-driven solutions that bring innovation and business value in today's competitive landscape through hands-on projects, industry case studies, and ethical AI practices.
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks
The candidate will get access to the presentation taken-up during the session.
Notes
Consolidated notes in word document.
Assignments
Assignments for every module will be covered.
MCQs
MCQs for every module covered in the session would be provided.
Video Recording
Daily Session would be recorded and shared to the candidate.
Dumps for Certification
We will provide dumps for the certification exam, which will help you to prepare for the exam.
Updated Content
We provide Generative AI Driven content By experts.
Projects
3 Live Projects will be provided for practice.
This unit provides a foundational understanding of Generative AI, explaining its core concepts, history, and evolution from traditional AI to advanced generative models. Learners will explore how models like GPT, DALL·E, and Stable Diffusion work, understand key terms such as tokens, embeddings, latent space, and transformers, and discover the major differences between generative and traditional AI approaches. The unit also introduces real-world applications across industries, setting the stage for deeper technical learning in the subsequent modules.
Develop a solid understanding of neural networks, which are the foundation of generative artificial intelligence.
Examine how AI models produce and comprehend human language.
Explore cutting-edge transformer-based models that have transformed AI applications.
Get familiar with the most widely used platforms and tools for GenAI development.
Get familiar with the most widely used platforms and tools for GenAI development.
Recognize how crucial ethics, equity, and openness are to AI systems.
Use real-world case studies to apply generative AI in a variety of fields.
Use real-world datasets and tools to carry out your own generative AI project.
Examine the newest developments influencing the field of artificial intelligence.
As part of this project, students will make a chatbot that can talk to people using a large language model (LLM) like GPT or LLaMA. The chatbot will be able to answer questions from customers, suggest products, and handle support requests while keeping track of the context. Students will create useful prompts, connect the model through APIs, and put the chatbot on a website or messaging platform. This will show how Generative AI can improve and automate customer service.
The goal of this project is to make an AI-driven workflow that can make both written and visual content for marketing campaigns. Participants will use tools like ChatGPT to write ad copy and blog posts, and image generation tools like Midjourney or DALL·E to make creative images. The goal will be to create a complete system that quickly and consistently makes marketing materials that are in line with the brand, showing the business value of Generative AI.
Students will gather and prepare a dataset that is specific to a certain field, like healthcare, law, education, or finance, and then use tools like Hugging Face Transformers to improve a large language model. The personalized model will learn how to do specific tasks, like writing documents for a certain field, making reports, or answering technical questions. This project will show how to customize Generative AI solutions for specific professional needs.
Master In Generative AI Training – Associate Training Program
What is Generative AI?
Generative AI is a type of AI that makes new things, like text, images, audio, or video, by learning from existing data using advanced models like GPT, DALL·E, and Stable Diffusion.
Who should enroll in the Master in Generative AI Training ?
Students, working professionals, data analysts, developers, and AI enthusiasts who want to further their careers in machine learning and AI innovation will find this course ideal.
What career roles can I apply for after completing this course?
Graduates can work for top tech companies as data scientists, AI engineers, machine learning specialists, NLP engineers, prompt engineers, and more.
Does Tech Pratham offer placement or internship support?
Yes, Tech Pratham connects students with leading recruiters in the AI sector and offers committed career counseling, resume building, and placement assistance.
Why choose Tech Pratham for Generative AI Training?
People know Tech Pratham for its skilled trainers, real-world projects, and one-on-one mentoring. It makes sure that students not only learn the theory but also get to use AI tools and apply them in the real world.
Can I take this course online?
Yes, this program is available in online formats, which makes it easier for people who work and go to college in different areas.
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