Core AI Strategy & Use Cases

Essential frameworks and real-world examples for implementing AI in enterprise environments

AI in the Enterprise

PDF
OpenAI

How to embed AI into real business workflows.

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Identifying & Scaling AI Use Cases

PDF
OpenAI

Where to begin and how to scale adoption.

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601 Real-World GenAI Use Cases

Google

This guide provides industry examples that are ready to apply.

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Can We Regulate Trust?

Trust in AI

Trust in AI must be cultivated through education, exposure, and inclusive engagement

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Prompting & Prompt Engineering

This section helps you master the art of crafting effective prompts to maximize AI performance and reliability

Prompting Guide 101

Google

Fundamentals of effective prompting.

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Prompt Engineering Guide

Google

Best practices from Google’s AI teams.

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Advanced Prompt Engineering

Anthropic

Advanced strategies for powerful prompts.

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AI Agents & Agentic AI

Comprehensive guides for building, deploying, and governing autonomous AI agent systems

A Practical Guide to Building Agents

PDF
OpenAI

Step-by-step on designing and deploying AI agents.

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Building Effective Agents

Anthropic

Principles for creating reliable and robust systems.

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Agents Companion

Kaggle

A practical playbook for agent builders.

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Shaping the Future with AI Agents

PDF
Google

Agentic AI market report and frameworks (ADK, A2A, Agentspace).

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AI Agent Handbook

Google

How agents boost business functions like marketing, HR, and development.

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The Agentic AI Advantage

PDF
KPMG

$3T productivity impact, TACO framework (Taskers, Automators, Collaborators, Orchestrators).

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Agentic AI 101

PDF
Thomson Reuters

Intro to agentic AI vs. generative AI, with industry applications.

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Agent Governance Whitepaper

PDF
Microsoft

Governance, lifecycle management, and security for AI agents.

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AI Agents and MCP

BCG

How the Model Context Protocol (MCP) improves scalability and interoperability.

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Please see https://learn-ai-curated.lovable.app

Curated reports, guides, and frameworks to help you stay informed and build practical skills in AI and Agentic AI.

1. Core AI Strategy & Use Cases

  • AI in the Enterprise – OpenAI
    How to embed AI into real business workflows.
    → Read here 
  • Identifying & Scaling AI Use Cases – OpenAI
    Where to begin and how to scale adoption.
    → Read here 
  • 601 Real-World GenAI Use Cases – Google
    Industry examples ready to apply.
    → Read here 

2. Prompting & Prompt Engineering

  • Prompting Guide 101 – Google
    Fundamentals of effective prompting.
    → Read here 
  • Prompt Engineering – Google
    Best practices from Google’s AI teams.
    → Read here 
  • Prompt Engineering – Anthropic
  • Advanced strategies for powerful prompts.
    → Read here 

3. AI Agents & Agentic AI

  • A Practical Guide to Building Agents – OpenAI
    Step-by-step on designing and deploying AI agents.
    → Read here 
  • Building Effective Agents – Anthropic
    Principles for creating reliable and robust systems.
    → Read here 
  • Agents Companion – Kaggle
    A practical playbook for agent builders.
    → Read here 
  • Google – Shaping the Future with AI Agents
    Agentic AI market report and frameworks (ADK, A2A, Agentspace).
    → Download PDF 
  • Google: AI Agent Handbook
    How agents boost business functions like marketing, HR, and development.
    → Read here Resources Agentic AI
  • KPMG: The Agentic AI Advantage
    $3T productivity impact, TACO framework (Taskers, Automators, Collaborators, Orchestrators).
    → Download PDF 
  • Thomson Reuters: Agentic AI 101
    Intro to agentic AI vs. generative AI, with industry applications.
    → Download PDF Microsoft: Agent Governance Whitepaper
  • Governance, lifecycle management, and security for AI agents.
    → Download PDF 
  • BCG: AI Agents and MCP
    How the Model Context Protocol (MCP) improves scalability and interoperability.
    → Read here 
  • Accenture: Technology Vision 2025
    “AI: A Declaration of Autonomy” – trust, autonomy, and enterprise transformation.
    → Download PDF