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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

What is 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

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.

Generative AI Certification Training Course Curriculum
.

Introduction to Generative AI
Section 1

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
Section 2

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)
Section 3

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
Section 4

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
Section 5

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
Section 6

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
.

Tools & Frameworks
Section 7

Gives you hands-on experience with TensorFlow, PyTorch, Hugging Face, LangChain, and cloud AI services to build and deploy generative models.

TensorFlow & PyTorch for model building
Hugging Face Transformers
LangChain & Vector Databases (for AI applications)
Cloud AI Services (AWS, Azure, Google Vertex AI)
.

Real-World Applications of Generative AI
Section 8

Shows how generative AI can be used in healthcare, finance, marketing, and content creation to solve problems in those fields.

AI in Healthcare, Finance, Marketing, and Education
Content creation & digital media
Personalized recommendations and customer engagement
Enterprise automation solutions
.

Hands-On Projects & Case Studies
Section 9

To get real-world experience, students work on projects like making AI chatbots, text summarizers, and image/audio generators.

Building a text summarizer using GPT models
Creating an image generator with Stable Diffusion
Developing an AI-powered chatbot
AI-based music or video generation project
.

Certification Exam Preparation
Section 10

Includes practice tests, case studies, and the best ways to do things in the industry to help students get ready for certification and the job market.

Practice questions & mock tests
Case study discussions
Industry best practices & future trends
Key Projects
Generative AI Certification Training
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.

Generative AI Certification Training – Associate Training Program

Category
Associate
Exam Name:
Generative AI Certification Training – Associate
Exam Code:
N.A.
Exam Duration:
N.A.
Exam Format:
N.A.
Passing Score:
N.A.
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Frequently Asked Questions (FAQs)

What is Generative AI Certification Training?

Generative AI Certification Training is a structured course that teaches students how to use advanced machine learning techniques to build AI models that can make text, images, audio, video, and code.

Who should enroll in this course?

This course is perfect for students, IT workers, data scientists, software engineers, digital marketers, and anyone else who wants to learn about the latest AI technologies.

Is the certification recognized globally?

Yes, Tech Pratham certifications are respected in the field and help professionals show off their AI skills to employers all over the world.

What career opportunities are available after completing this course?

People who learn can work in any field as Generative AI Engineers, AI Researchers, Machine Learning Engineers, Data Scientists, or AI Consultants.

Why should I choose Tech Pratham for Generative AI Training?

Tech Pratham offers professional trainers, hands-on project experience, help with job placement, and course materials that are always up to date with what the industry needs.

What is the average salary of a Generative AI professional?

Generative AI professionals in India make a lot of money, with salaries ranging from ₹8 LPA to ₹25+ LPA, depending on their skills, role, and experience.

What key topics are covered in the training?

The training includes Hugging Face, LangChain, cloud AI services, deep learning, large language models (LLMs), GANs, diffusion models, AI for code generation, and audio/video synthesis.

Does Tech Pratham provide placement assistance after training?

Yes. Tech Pratham helps students get high-paying jobs in AI by helping them write their resumes, get ready for interviews, and find jobs.

Is this course suitable for entrepreneurs and freelancers?

Yes, for sure. Generative AI skills help business owners automate their work, create AI-powered products, and freelancers offer more services in content creation and automation.

Is Generative AI a good career choice in 2025 and beyond?

Yes! As AI is quickly being used in many fields, Generative AI skills are in high demand all over the world, which means that people will have many job opportunities and career growth over time.

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