Generative AI Certification Training gives students the skills they need to use advanced machine learning techniques to build AI models that can make text, images, and solutions.
Level
Advanced
Duration
8 weeks



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Generative AI Certification Training gives you a thorough understanding of AI models that can make text, images, audio, and code that look and sound like people. It talks about things like neural networks, big language models, and diffusion models. Students get to use tools like GPT, Stable Diffusion, and MidJourney in real life. This training gets professionals ready for jobs in AI research, development, and automation in many different fields.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Introduction to Generative AI
This module covers the basics of AI and Generative AI and looks at real-world uses, such as making text, images, audio, and video, as well as moral issues.
Fundamentals of Deep Learning
Students learn the basics of neural networks, CNNs, RNNs, and optimization methods that are necessary for making and training generative models.
Large Language Models (LLMs)
It teaches how to build conversational AI apps like chatbots, as well as how to fine-tune and prompt engineering models like GPT and BERT.
Generative Models for Images & Media
Includes advanced methods like GANs, VAEs, and diffusion models for making realistic pictures, art, and other types of media.
Generative AI for Code & Automation
Brings in AI-powered coding tools like Copilot and Codex to help students write code, automate tasks, and get more done.
Generative AI in Audio & Video
Looks at how AI is changing the way we make and use media by looking at AI-based speech synthesis, music creation, deepfakes, and video creation.
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AI-Powered Chatbot with LLMs
Students will create a chatbot using either GPT or Hugging Face models for this project. The chatbot will be able to answer questions from the real world, give answers that fit the situation, and work with apps like e-commerce sites or customer service. This helps students learn how to use conversational AI and prompt engineering.
Text-to-Image Generator with Stable Diffusion
Using Stable Diffusion or DALL·E, students will make an AI model that turns text prompts into high-quality images. This project shows how AI can help with making visual content by simulating uses in digital art, marketing, and creative fields.
Workflow Automation Tool using Generative AI
This project is all about using LangChain, vector databases, and OpenAI APIs to automate things like writing emails, summarizing text, and making reports. It teaches students how to make AI tools that help businesses be more productive.

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