Generative Ai
Use advanced models like GANs, VAEs, and LLMs to learn how to use generative AI to make text, images, audio, and more. Get real-world experience making creative apps that use AI.
Level
Advanced
Duration
8 weeks
Placement Client
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About Generative Ai
This course gives a thorough introduction to Generative AI, going over the main models and how they can be used in different fields. You will learn about GANs, VAEs, Diffusion Models, and LLM-powered generation for text, pictures, and other media. You'll learn how to prompt engineers, fine-tune models, and deploy them through hands-on projects. By the end, you'll be able to come up with and use smart generative AI solutions for real-world problems.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
e-Book
E-book provided by TechPratham. All rights reserved.
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
Video Recording
Daily Session would be recorded and shared to the candidate.
Projects
Live projects will be provided for hands-on practice.
Resume Building
Expert-guided resume building with industry-focused content support.
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
Generative Ai
Course Curriculum
Introduction to Generative AI
Understand the fundamentals, history, and importance of Generative AI.
Foundations of Machine Learning & Deep Learning
Learn the essential concepts of ML and DL that power generative AI models. This module covers supervised, unsupervised, and reinforcement learning basics.
Generative Models Overview
Explore different types of generative models, including probabilistic models, GANs, VAEs, and Diffusion models, and their underlying principles.
Natural Language Generation (NLG)
Focus on text-based generative AI models such as GPT, LLaMA, and other large-scale transformers for conversational AI and content generation.
Generative AI for Vision
Learn how Generative AI powers computer vision tasks such as image generation, enhancement, and editing through GANs and diffusion models.
Generative AI for Audio & Speech
Explore how AI generates audio, speech, and music, including text-to-speech and voice cloning technologies.
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Who Should Take Generative Ai
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Key Projects
<h1><strong>Generative Ai</strong></h1>
AI-Powered Creative Writer
Use LLMs to make a generative text app that can write stories, blogs, or product descriptions. Use prompt engineering and fine-tuning for certain fields.
Text-to-Image Generation Tool
Create a platform that uses diffusion models or GANs to turn text prompts into pictures. Change the styles and try out different creative outputs.
Voice Cloning & Audio Synthesis App
Use diffusion models or GANs to make a platform that makes pictures from text prompts. Change styles and try out different creative outputs.
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Knowledge Center
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Course FAQs
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Industry-Recognized Certification
India
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Hyderabad Office
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