Best Generative AI Training & Course in Hyderabad

The Generative AI Course is designed to introduce learners to the concepts, technologies, and applications of artificial intelligence that can create content, including text, images, audio, and video. The course covers foundational AI and machine learning principles, neural networks, deep learning models, and advanced generative architectures like GANs and transformers. Participants will gain hands-on experience building and fine-tuning generative AI models, enabling them to create real-world AI solutions for industries such as marketing, entertainment, design, and software development.

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Course Overview

The Generative AI Course provides a comprehensive introduction to the field of artificial intelligence focused on creating new content. Learners will explore the principles of AI, machine learning, neural networks, and deep learning, gaining an understanding of how generative models can produce text, images, audio, and video. The course covers both theoretical foundations and practical applications, making it suitable for beginners and professionals alike.

Through hands-on projects and labs, participants will work with state-of-the-art generative AI models, including GANs, VAEs, and transformer-based architectures like GPT. Learners will gain experience in data preprocessing, model training, fine-tuning, and deployment, developing the skills needed to create AI-generated content for real-world applications across industries such as marketing, entertainment, and software development.

Upon completion, participants will be equipped for careers in AI development, machine learning engineering, and AI-driven content creation. The course also prepares learners for relevant industry-recognized certifications, demonstrating expertise in generative AI and enhancing employability in this fast-growing, high-demand field.

Key Highlights

Comprehensive AI & ML Foundation

Learn core concepts of artificial intelligence, machine learning, and deep learning as the base for generative models.

Hands-On Model Training

Gain practical experience building and fine-tuning models like GANs, VAEs, and transformer-based architectures.

Content Generation Skills

Create AI-generated text, images, audio, and video for real-world applications.


Advanced Generative Techniques

Explore state-of-the-art models, including GPT, diffusion models, and reinforcement learning for generative tasks.

Data Handling & Preprocessing

Learn to manage datasets, clean data, and prepare it for model training efficiently.

Industry-Relevant Applications

Apply generative AI skills in sectors like marketing, gaming, entertainment, design, and software development.

Key Features

  • Foundational AI & Machine Learning Concepts
  • Hands-On Training with GANs, VAEs & Transformers
  • Multi-Modal Content Generation
  • State-of-the-Art Techniques
  • Data Preparation & Preprocessing
  • Industry-Relevant Applications
  • Certification Preparation
  • Expert Instructor Guidance
  • Lifetime Access to Course Materials

Skills Covered

Deployment & Integration

Ethics & Responsible AI

Text Generation

Fundamentals of AI & Machine Learning

Generative Model Development

Audio & Video Generation

Data Preprocessing & Handling

Model Evaluation & Optimization

Real-World Project Implementation

Eligibility

Any Degree – B. Tech, BSc, B. Com, BBA, etc

All IT & Non-IT Branches – CSE, EEE, Civil, Mech, Bio, etc.

Coding knowledge is required

No CGPA cut-off. Career gap is not a barrier.

Course Curriculum

  • Introduction to Generative AI
    Overview of AI, machine learning, and deep learning Introduction to generative AI concepts and applications Types of generative models: GANs, VAEs, Transformers
  • Fundamentals of Neural Networks
    Artificial Neural Networks (ANNs) and Deep Learning basics Activation functions, loss functions, and optimizers Forward and backward propagation
  • Generative Adversarial Networks (GANs)
    GAN architecture and working principle Training GANs for image generation Variants: DCGAN, StyleGAN, Conditional GAN
  • Variational Autoencoders (VAEs)
    VAE concepts and architecture Encoding and decoding processes Applications in image and data generation
  • Transformer Models & Large Language Models (LLMs)
    Introduction to transformers and attention mechanisms Working with GPT, BERT, and other LLMs Text generation, summarization, and NLP applications
  • Multi-Modal Generative AI
    Generating images, audio, and video Working with diffusion models and text-to-image architectures Practical projects on multi-modal generation
  • Data Preprocessing & Model Training
    Dataset collection, cleaning, and augmentation Training, fine-tuning, and hyperparameter optimization Model evaluation and performance metrics
  • Deployment & Real-World Applications
    Integrating generative AI models into applications Cloud deployment and API usage Case studies in marketing, entertainment, and design
  • Ethics, Bias & Responsible AI
    Ethical considerations in generative AI Bias detection and mitigation Guidelines for responsible AI usage

Generative AI Certification Overview

Upon completing the Generative AI Course, learners will receive a professional certification validating their expertise in building, training, and deploying generative AI models across text, image, audio, and video domains. The certification demonstrates practical skills in GANs, VAEs, transformers, large language models, multi-modal AI, and responsible AI practices.

This credential enhances career prospects for roles such as AI Developer, Machine Learning Engineer, Data Scientist, and AI Content Creator, providing industry-recognized recognition for both technical knowledge and hands-on experience. It also serves as a stepping stone for advanced AI certifications and specialized roles in the rapidly growing field of generative AI.