This Prompt Engineering course is designed to help you understand how to work effectively with modern AI models and build real-world LLM-based applications. The course includes 19 hours of content across 6 modules, starting from the fundamentals of generative AI and progressing to advanced prompting strategies, multimodal workflows, and security techniques. You will learn how to design effective prompts, combine multiple prompting methods, and create reliable AI-powered solutions. The curriculum also covers prompting from both user and developer perspectives, ensuring you can apply these skills in practical scenarios.

What you’ll learn:

• 19 hours of content structured across 6 modules
• 20+ prompting tips, tricks, and techniques with proper use cases
• Core focus on developing effective prompts by combining multiple prompting techniques
• Prompting for major modalities: Text, Image, Video, and Multi-Modal (Text + Audio/Image) generation
• RAG (Retrieval-Augmented Generation) prompting
• Prompting for developing LLM-based applications
• Coverage from both user and developer perspectives
• Adversarial security and defensive prompting techniques
• Written notes provided for each video