What You'll Learn
- 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.
Requirements
- No prior coding experience is required
Who This Course is For
- All working professionals
Your Instructor
Aakaro Consulting
Based in London and Delhi
4.4 Instructor Rating
22,572 Reviews
115,109 Students
43 Courses
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