Generative AI Mastery: From Diffusion to LLMs
Learn to build, fine-tune, and deploy cutting-edge generative models, from image synthesis with Stable Diffusion to text generation with GPT and beyond.
Modules
- What is Generative AI?
- Latent Space, Sampling, & Creativity
- GANs vs VAEs vs Diffusion
- Ethics of Content Generation
- Stable Diffusion & DALL·E
- ControlNet, DreamBooth
- Fine-tuning on Custom Concepts
- Image-to-Image & Inpainting
- GPT-3/4 vs Claude vs LLaMA
- Prompt Crafting for Creativity
- Storytelling, Poem, Email, Resume Gen
- Content Quality Tuning
- Text-to-Image
- Text-to-Video (RunwayML, Sora overview)
- Image-to-Text & Speech-to-Text
- Vision + LLM Fusion
- Portfolio Generator App
- AI Art Generator
- Auto Resume Builder
- Creative Writing Assistant
- Deploying GenAI Apps with Streamlit
- AI Watermarking & Detection
- Toxicity Filters & Prompt Shields
- Monetizing GenAI Apps
Industry Insights
95%
Industry Relevance
High
Market Demand
16 LPA+
Avg. Salary
Ready to start learning?
Your Learning Roadmap
Follow this path to mastery. Our AI guide leads the way.
GenAI Foundations
8 hrsCore concepts, GANs vs Diffusion, latent space
Image Generation
12 hrsStable Diffusion, ControlNet, DreamBooth
Text Generation with LLMs
10 hrsGPT-4, prompts for creativity, tuning
Multimodal AI
12 hrsText-to-video, image-to-text, speech-to-text
Portfolio Projects
14 hrsAI art gen, resume builder, creative tools
Deployment & Monetization
8 hrsStreamlit apps, safety, AI watermarking
Why master Generative AI?
- GenAI is the most transformative shift in tech, powering tools like ChatGPT, Midjourney, and Copilot.
- It combines the magic of creativity with the rigor of ML, enabling new forms of design, writing, code, and art.
- You’ll learn how these models actually work, not just how to use them.
- Unlock career paths in AI research, content automation, creative tooling, and more.
- Build portfolio-ready projects with state-of-the-art GenAI tools.