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Generative AI Certification Training

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Generative AI Certification Training

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.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 weeks

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About 

Generative AI Certification Training

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.

Training Plan

01

About trainer

Working professional who is carrying more then 10 years of industry experience.

02

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03

e-Book

E-book provided by TechPratham. All rights reserved.

04

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05

Video Recording

Daily Session would be recorded and shared to the candidate.

06

Projects

Live projects will be provided for hands-on practice.

07

Resume Building

Expert-guided resume building with industry-focused content support.

08

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Generative AI Certification Training

Course Curriculum

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.

Basics of Artificial Intelligence & Machine Learning
What is Generative AI?
Applications & Use Cases (Text, Image, Audio, Video, Code)
Ethical considerations and AI safety

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.

Neural Networks & Backpropagation
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs) & Transformers
Optimization techniques (SGD, Adam, etc.)

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.

Understanding GPT, BERT, LLaMA, and other LLMs
Prompt engineering techniques
Fine-tuning & transfer learning
Building conversational AI and chatbots

Generative Models for Images & Media

Includes advanced methods like GANs, VAEs, and diffusion models for making realistic pictures, art, and other types of media.

Variational Autoencoders (VAEs)
Generative Adversarial Networks (GANs)
Diffusion Models (Stable Diffusion, DALL·E, MidJourney)
Image-to-Image and Text-to-Image generation

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.

Code generation using AI (GitHub Copilot, Codex)
AI in software testing & debugging
Workflow automation with AI models

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.

Speech synthesis (Text-to-Speech, Voice Cloning)
Music generation with AI
Deepfake creation & detection
Video synthesis and enhancement

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Additional Program Highlights

Learning Metarials
Resume Writing
Interview Preparation
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Generative AI Certification Training

IT Professionals

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Key Projects

<h1><strong>Generative AI Certification Training</strong></h1>

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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.

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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.

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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.

Placement Process

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What Makes TechPratham Training Different?

Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
FAQ's
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