Power of Prompt Engineering and Generative AI
What you will 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.
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Course Overview
- This course is specifically designed for Product Owners and strategists eager to harness the transformative power of Agentic AI.
- Go beyond theoretical understanding to practical application, learning how to identify, scope, and articulate business opportunities driven by intelligent, autonomous AI systems.
- We’ll explore the strategic implications of deploying AI agents, moving past simple chatbots to create truly impactful and self-directed solutions.
- Uncover how to align cutting-edge AI capabilities with core business objectives, ensuring your product strategy remains ahead of the curve.
- The curriculum emphasizes a strategic, product-centric approach, empowering you to lead the charge in the next wave of AI innovation.
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Requirements / Prerequisites
- A foundational understanding of product management principles and methodologies is recommended.
- No prior coding experience or deep technical AI/ML expertise is required; this course is tailored for business leaders.
- An inquisitive mindset and a keen interest in leveraging emerging technologies for strategic advantage are essential.
- Familiarity with the general concept of Artificial Intelligence and its application in modern business contexts will be beneficial.
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Skills Covered / Tools Used
- Strategic AI Product Roadmapping: Develop comprehensive strategies for integrating Agentic AI into your product lifecycle.
- Value Proposition Design: Craft compelling value propositions for AI-powered solutions that resonate with target users and business goals.
- Cross-functional AI Leadership: Master the art of guiding diverse teams (engineering, design, legal, marketing) through complex AI initiatives.
- AI Opportunity Identification: Learn frameworks for pinpointing high-impact areas where AI agents can deliver maximum business value.
- Ethical AI Governance: Implement practical steps for ensuring responsible and fair AI development and deployment.
- AI Solution Storytelling: Articulate the vision and benefits of AI agents in a clear, persuasive manner to gain stakeholder buy-in.
- Rapid Prototyping Mindset: Adopt an agile approach to iterate and validate AI agent concepts efficiently.
- Market Analysis for AI: Evaluate competitive landscapes and market trends to position your AI products uniquely.
- Tools Used (Conceptual): Business canvas models adapted for AI, stakeholder communication frameworks, AI solution design templates, ethical decision-making matrices.
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Benefits / Outcomes
- Gain a competitive edge by mastering the strategic deployment of advanced AI agents in your product portfolio.
- Elevate your leadership capabilities, confidently driving AI initiatives within your organization.
- Translate complex AI concepts into actionable product strategies that deliver measurable business results.
- Become an authoritative voice on Agentic AI, capable of influencing product direction and organizational strategy.
- Develop a robust framework for assessing, developing, and launching innovative AI agent products.
- Foster a culture of responsible AI innovation within your teams and projects.
- Unlock new avenues for automation, personalization, and operational efficiency through intelligent agents.
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PROS
- Provides a forward-thinking perspective on the next evolution of AI beyond current Generative AI tools.
- Empowers non-technical product leaders to strategically leverage complex AI technologies.
- Strong emphasis on business value, ethical considerations, and practical application.
- Prepares participants to lead future-proof product development in an AI-driven world.
- Fills a critical gap in professional development for product professionals navigating AI transformation.
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CONS
- Success in applying the concepts taught is highly dependent on the participant’s ability to translate strategic insights into organizational action within their specific business context.
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