Generative AI is revolutionizing industries—from content creation to autonomous agents. The course “Full Stack Generative AI: Deep Learning, CNN, LLM Agentic AI” is designed for learners who want to go beyond theory and gain hands-on skills in building AI systems from the ground up.
What you’ll learn
By the end of the course, learners will be able to:
- Understand the foundations of deep learning for generative models
- Build and train Convolutional Neural Networks (CNNs) for vision tasks
- Apply transformer-based Large Language Models (LLMs) in real-world scenarios
- Develop agentic AI systems capable of reasoning and decision-making
- Integrate full-stack workflows—data preprocessing, model training, deployment, and applications
- Explore the use of generative AI in text, images, and beyond
Requirements and course approach
The course assumes:
- Basic Python programming knowledge
- Familiarity with machine learning concepts is helpful (but not mandatory)
- A laptop/PC with GPU support recommended for training projects
The teaching style combines:
- Conceptual deep-dives with simplified explanations
- Practical coding demonstrations in Python
- Hands-on projects to build real generative AI solutions
- Deployment workflows for production-ready AI
Who this course is for
This course is perfect for:
- Aspiring AI and ML engineers
- Developers who want to master generative AI end-to-end
- Students preparing for careers in deep learning and AI research
- Entrepreneurs exploring AI-driven product development
- Anyone curious about CNNs, LLMs, and agentic AI systems
Outcomes and final thoughts
By completing this course, learners will have a full-stack skill set—from training deep learning models to implementing advanced LLM-powered agents.
“Full Stack Generative AI: Deep Learning, CNN, LLM Agentic AI” is a future-proof course for those ready to create intelligent systems that don’t just process data, but think, generate, and act.
