Explore how generative AI, Prompt engineering and AI Agents transforming fields like Marketing, HR, Coding and Business Strategy
Explain the meaning of Generative AI
Identify the common output types of generative AI systems.
Explain the meaning of AI Agents
Explore some Common Tools of Generative AI & AI Agents.
Explain the meaning of Large Language Model (LLM) is and why it is called “large” language Model.
Analyse the key Characterstics of LLM:Natural Language Processing (NLP), Generative Capabilities, Contextual Understanding, Continuous Learning
Describe the concept of a prompt and the role of prompt engineering.
Break down the core components of a well-structured prompt: task, context, data input, output format.
Explore Zero-shot, One-shot, and Few-shot prompting techniques.
Identify and apply various types of modifiers: length, comparative, role-based, style, perspective, format, scenario-based, and instruction-based.
Analyze how model parameters (tokens, temperature, top-k, top-p) influence AI-generated content.
Explore the advanced Prompting techniques like:Chain Of Thought, Iterative and Tree of Thought Prompting.
Apply these techniques in real-world case studies.
