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Generative AI Training Course Complete Program

Dive into the world of Generative AI with comprehensive training on Large Language Models (LLMs), prompt engineering, and building innovative AI applications. Harness tools like ChatGPT, Stable Diffusion, and LangChain to generate text, images, code, and more. Prepare for high-demand roles in AI development and ethical AI practices.

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+91
8 LPA

Average annual salary for Generative AI professionals

Source : Glassdoor

15k+

Career opportunities in Generative AI

Source : Linkedin

30%

Annual growth rate of AI job market

Source : Simplilearn

Overview

Industry-Relevant Generative AI Training at DIGIT institute

Our Generative AI training course at DIGIT institute® equips you with cutting-edge skills in generative models. Learn to fine-tune LLMs, craft effective prompts, generate multimedia content, and deploy AI agents. Explore transformers, diffusion models, and responsible AI to innovate across industries.

  • In-Depth Focus on LLMs, Prompt Engineering, and Ethical AI

Our professional instructors bring a wealth of real-world experience and knowledge, offering personalized guidance and mentorship throughout the course. With hands-on projects, you will not only learn but also apply your skills in practical scenarios. The program also includes job-oriented training with mock tests and mock interviews.

  • Project-Based Learning for Innovative AI Applications
Course Details

Your Generative AI Learning Journey

Unlock the power of creative AI with DIGIT institute's professionally curated Generative AI curriculum. Join us and embark on a transformative journey to mastering generative technologies.

Generative AI


Generative AI
Overview of Generative AI
History and Evolution
Key Concepts: GANs, VAEs, Diffusion Models
Applications in Text, Image, and Audio Generation
Python Basics and Libraries (NumPy, Pandas)
Data Handling and Preprocessing
Introduction to TensorFlow and PyTorch
Building Simple Neural Networks
Understanding Transformers Architecture
Working with Pre-trained LLMs (GPT, BERT)
Fine-Tuning LLMs
Tokenization and Embeddings
Principles of Effective Prompting
Advanced Techniques: Few-Shot, Chain-of-Thought
Prompt Optimization Tools
Evaluating Prompt Performance
Stable Diffusion and DALL-E
GANs for Image Synthesis
Text-to-Image Generation
Audio and Video Generation Basics
Building AI Agents
LangChain Framework
RAG (Retrieval-Augmented Generation)
Deployment and APIs
Bias and Fairness in GenAI
Privacy and Security
Regulatory Considerations
Best Practices for Responsible AI
Building a Chatbot with LLMs
Generating Art with Diffusion Models
AI-Powered Content Creation Tool
End-to-End AI Agent Project
Portfolio Development

Generative AI


Generative AI
Overview of Generative AI
History and Evolution
Key Concepts: GANs, VAEs, Diffusion Models
Applications in Text, Image, and Audio Generation
Python Basics and Libraries (NumPy, Pandas)
Data Handling and Preprocessing
Introduction to TensorFlow and PyTorch
Building Simple Neural Networks
Understanding Transformers Architecture
Working with Pre-trained LLMs (GPT, BERT)
Fine-Tuning LLMs
Tokenization and Embeddings
Principles of Effective Prompting
Advanced Techniques: Few-Shot, Chain-of-Thought
Prompt Optimization Tools
Evaluating Prompt Performance
Stable Diffusion and DALL-E
GANs for Image Synthesis
Text-to-Image Generation
Audio and Video Generation Basics
Building AI Agents
LangChain Framework
RAG (Retrieval-Augmented Generation)
Deployment and APIs
Bias and Fairness in GenAI
Privacy and Security
Regulatory Considerations
Best Practices for Responsible AI
Building a Chatbot with LLMs
Generating Art with Diffusion Models
AI-Powered Content Creation Tool
End-to-End AI Agent Project
Portfolio Development
Your Enrollment Journey

Track Your Progress Toward Enrollment

1. Registration
1. Registration

Register online, provide details, help admissions understand your career goals.

2. Test
2. Test

Submit application, then an assessment ensures eligibility and program aptitude.

3. Offer Applicable
3. Offer Applicable

After review, eligible candidates get scholarship offers and confirmation email.

4. Fee Payment
4. Fee Payment

Review your admission offer, promptly pay fee to confirm enrollment.

Certifications

Advance Your Career with Our Generative AI Certification

certification

Industry Recognition

Our certifications are well-regarded in the software industry, providing valuable opportunities for career advancement

certification

Skill Validation

Our certifications validate your skills through practical application, equipping you for the workforce and demonstrating your expertise to employers.

certification

Career Advancement

Achieve new heights in your professional journey with our certifications.

Career_Boost_with_Our_Certifications
What Our Students Say

Shared Experiences from Our Students

Ravi Kumar

The Generative AI course at DIGIT institute transformed my understanding of AI. The hands-on projects with LLMs were incredibly practical, and the instructors made complex topics accessible. Highly recommended for anyone entering the AI space.

Priya Sharma

Excellent training with real-world examples. From prompt engineering to deploying agents, everything was covered comprehensively. The placement support helped me land a role in an AI startup right after completion.

Arjun

DIGIT's focus on ethical AI sets it apart. The curriculum is up-to-date, and the small class sizes ensure personalized attention. Great value for aspiring AI developers.

Siddharth Verma

The Generative AI course at Digit Institute was outstanding. The trainers provided hands-on projects using real AI tools and frameworks, making the learning practical and industry-ready. It helped me understand AI applications and build my own models confidently.

Upcoming Sessions

Join Our Upcoming Batches

Secure your spot in the next batch. Limited seats available. Enroll now and start your learning journey with expert-led live training.

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FAQs

Quick Answers to Common Questions

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Basic programming knowledge in Python is recommended, but no prior AI experience is required. Our course starts with fundamentals and progresses to advanced topics.

Absolutely! We provide career support services including resume building, mock tests, mock interviews, and job placement assistance to help you kickstart your career in generative AI.

Yes, our course includes multiple hands-on projects simulating real-world AI applications. You'll build and deploy generative models from scratch.

Our course is designed and delivered by industry professionals with hands-on experience in GenAI. We emphasize ethical practices, practical projects, and a supportive learning environment.

Enrolling is easy! Simply visit our website or contact our admissions team for more information on course schedules, fees, and enrollment procedures.