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GENERATIVE AI

Generative AI Training in Hyderabad (Ameerpet)

Create the Future with Generative AI – Master Tools Behind ChatGPT, DALL·E, and More
into the next era of artificial intelligence with Generative AI training at Openminds Technologies, Ameerpet. This cutting-edge course helps you understand the foundation and implementation of AI models that generate text, images, code, and more using large language models (LLMs), GANs, and transformer architectures.

Course Highlights

✅ Learn Generative Models, LLMs, GANs, Diffusion Models, and Transformers
✅ Hands-on projects using tools like OpenAI APIs, Hugging Face, and Google Vertex AI
✅ Build your own Chatbot, Image Generator, and Content Recommender
✅ Designed for AI Engineers, Developers, Researchers & Tech Professionals
✅ 100% Placement Assistance with career guidance

Why Choose Openminds Technologies?

  • Introduction to Generative AI & its applications

  • Working with GPT, DALL·E, and other foundational models

  • Understanding Transformers and Language Modeling

  • Prompt Engineering & Fine-tuning Pretrained Models

  • Generative Adversarial Networks (GANs)

  • Building Generative Tools: Chatbots, Text Summarizers, AI Art

  • Ethical AI, Bias & Model Explainability

  • Real-Time Project with Deployment

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SYLLABUS

  • What is Artificial Intelligence?

  • Evolution and Applications of AI

  • Understanding Generative AI

  • Difference between Discriminative and Generative Models

  • Overview of Generative AI Use Cases

  • Basics of Machine Learning

  • Supervised vs Unsupervised Learning

  • Introduction to Neural Networks

  • Deep Learning Concepts: CNNs, RNNs, Autoencoders

  • Basics of Model Training and Evaluation

  • What are Generative Models?

  • Introduction to:

    • Variational Autoencoders (VAE)

    • Generative Adversarial Networks (GANs)

    • Diffusion Models

  • Applications: Image, Text, Music, and Video Generation

  • GAN Architecture: Generator and Discriminator

  • Types of GANs:

    • DCGAN

    • CycleGAN

    • StyleGAN

  • Training Challenges in GANs and Solutions

  • Hands-on: Building a Simple GAN Model

  • Introduction to NLP and NLG

  • Transformers Architecture

  • Understanding GPT (Generative Pre-trained Transformer)

  • Overview of LLMs (Large Language Models)

  • Fine-tuning and Prompt Engineering Basics

  • What are Diffusion Models?

  • Stable Diffusion Models

  • Applications in Image Synthesis

  • Hands-on: Generate Images using Diffusion Models

Download Syllabus