Join Generative AI Certification Training to learn prompt engineering, LLMs, AI automation, and real-world AI applications. Gain hands-on skills and become job-ready for AI and machine learning roles.
Level
Advanced
Duration
8 weeks



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Generative AI Certification Training is a comprehensive program designed to help learners build practical skills in Artificial Intelligence, Large Language Models (LLMs), prompt engineering, and AI automation. The course covers essential modules such as Generative AI fundamentals, natural language processing (NLP), prompt design, AI model integration, chatbot development, data analysis with AI, and real-world AI project implementation. Through hands-on training and real-time case studies, participants learn how to use AI tools to automate workflows, generate intelligent content, and improve business productivity.
This training is ideal for professionals and students across India and their major IT hubs such as Bangalore (Whitefield), Hyderabad (HITECH City), Pune (Hinjewadi), Chennai (OMR), and Noida (Sector 62) where demand for AI talent is growing rapidly. Companies like TCS, Infosys, Accenture, Wipro, Capgemini, and Deloitte are actively hiring AI professionals. By completing this program, learners gain industry-relevant knowledge, certification preparation, and job-ready skills to build a successful career in Generative AI and machine learning technologies.
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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Generative AI Engineer
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Scenario: Develop a Generative AI chatbot for Infosys in Electronic City, Bengaluru to automate customer support queries, summarize tickets, and provide intelligent responses using LLM-based models.
Scenario: Build a Generative AI recruitment assistant for Accenture in HITEC City, Hyderabad to analyze resumes, match candidate skills with job descriptions, and generate candidate summaries.
Scenario: Create a Generative AI content generation platform for Wipro in Hinjewadi IT Park, Pune to automate blog writing, product descriptions, and marketing content using AI models.
Scenario: Develop a Generative AI analytics assistant for Deloitte in Sector 62, Noida to summarize datasets, generate business insights, and automate report creation using AI models.

Additional Support We Provide
24/7 Support
LinkedIn Profile
Resume Writing
Alumni Sessions
Interview Preparation
Live Projects
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