Unlock the Power of Generative AI
Discover how AI creates text, images, and solutions. Get practical experience with ChatGPT, Midjourney, and advanced AI tools to future-proof your career.
Level
Beginner → Advanced
Mode
Online / Self-Paced
Duration
9 Modules /90 + Hours
Certification
Industry-Recognized Certificate
Course Syallabus
Syllabus of Gen AI
Module 1 : Introduction to Generative AI
- What is Artificial Intelligence (AI)?
- Difference between AI, Machine Learning (ML), and Deep Learning (DL)
- Introduction to Generative AI
- History & evolution of Gen AI
- Types of Generative Models
- Real-world applications: text, image, audio, video generation
- Overview of tools: ChatGPT, Midjourney, DALL·E, Runway ML, Synthesia, etc.
Module 2 : Foundations of Machine Learning & Deep Learning
- Supervised vs. Unsupervised Learning
- Neural networks overview
- Activation functions, loss functions
- Gradient Descent & Backpropagation
- Introduction to Deep Learning frameworks (TensorFlow / PyTorch)
Module 3 : Generative Models — Theory & Types
- Autoencoders (AE)
- Variational Autoencoders (VAE)
- Generative Adversarial Networks (GANs)
- Architecture: Generator & Discriminator
- Loss functions & training challenges
- Variants: DCGAN, CycleGAN, StyleGAN
- Diffusion Models (Stable Diffusion, Denoising Diffusion Probabilistic Models)
- Transformer-based models (GPT, BERT, T5)
Module 4 : Large Language Models (LLMs)
- Transformer architecture
- Tokenization & embeddings
- Pretraining vs. fine-tuning
- Prompt engineering techniques
- Reinforcement Learning with Human Feedback (RLHF)
- Use cases of LLMs (chatbots, summarization, translation)
Module 5 : Image, Audio & Video Generation
- Image generation: Stable Diffusion, DALL·E, Midjourney
- Style transfer & inpainting
- Audio generation: Voice cloning, Music creation (e.g., Jukebox, Suno)
- Video generation: Runway ML, Pika Labs, Synthesia
- Ethical use & deepfake detection
Module 6 : Prompt Engineering & Fine-Tuning
- Structure of a prompt
- Context management & chain-of-thought prompting
- Advanced prompt design patterns
- Fine-tuning vs. instruction tuning
- Creating custom assistants using APIs
Module 7: Generative AI in Practice
- AI in content creation (blogs, scripts, ads)
- AI in software development (code generation, debugging)
- AI in design & marketing
- Gen AI for data augmentation
- Building Gen AI workflows (LangChain, OpenAI API, Hugging Face)
Module 8 : Ethics, Risks & Future of Gen AI
- AI bias, misinformation, and deepfakes
- Data privacy and copyright issues
- Responsible AI & ethical guidelines
- Future trends: AGI, multimodal AI, personalized AI agents
Module 9 : Capstone Project
- AI content generator (blog, resume, or ad)
- AI image generator app
- Chatbot using OpenAI API
- Text-to-video marketing creator
- Custom voice assistant
Ready to start your Genrative AI journey ?
Frequently Asked Questions
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The Generative AI course introduces you to modern AI tools and models that can create text, images, and code. You’ll learn to use AI for automation, creativity, and innovation.
This course is perfect for students, developers, and professionals who want to explore AI tools like ChatGPT, Midjourney, and others, or integrate AI into their projects.
- Basics of Artificial Intelligence & Machine Learning
- Prompt Engineering Techniques
- Generative Models (ChatGPT, DALL·E, Stable Diffusion)
- AI in Business, Marketing & Development
- Building AI-Powered Tools & Chatbots
- Ethics and Future of AI
The course duration is 2–3 months, including hands-on projects and AI tool-based workshops.
No prior coding is required. We start from basics and guide you through every concept with practical examples.