Build your second brain for Leading AI Products/Projects.

Prerequisites

The Project Lab is from AI Engineer HQ and it is only for demonstration.

Curriculum

<aside> [Module - 1]

AI Foundations and Strategic Vision

Duration: 6 Hours

1.1 - Understanding AI Trends and Impact

1.1.1 - AI vs. ML vs. DL vs. GenAI vs. LLMs - 2025 market trends

1.1.2 - [Hands-On] Identify 3 AI trends relevant to your industry

1.1.3 - [Hands-On] Trend analysis worksheet

1.2 - AI Capabilities and Business Relevance

1.2.1 - Overview of LLMs, RAG, fine-tuning, multi-modal AI

1.2.2 - 3 high-impact AI use cases for your business

1.2.3 - [Hands-On] Use case prioritization matrix

1.3 - Crafting Your AI Vision

1.3.1 - Framework to align AI with goals

1.3.2 - [Case Study] Vision failures ft. Mckinsey

1.3.3 - AI vision template

1.4 - The Project Lab - by AI Engineer HQ

[The Project Lab - 01] AI-powered Resume Analyzer using Python, Flask & NLP

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<aside> [Module - 2]

AI Strategy and Execution

Duration: 6 Hours

2.1 - Building an AI Roadmap

2.1.1 - Steps to identify opportunities, assess data readiness

2.1.2 - [Hands-On] 6-month AI roadmap

2.1.3 - AI Roadmap Template

2.2 - AI-First Business Models

2.2.1 - AI as a product vs. feature

2.2.2 - [Case Study] Revenue growth

2.2.3 - [Hands-On] AI-driven revenue strategy

2.2.4 - Monetization plan

2.3 - Measuring Success and Structuring Teams

2.3.1 - KPIs and AI Team Roles

2.3.2 - KPI worksheet & team structure guide

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<aside> [Module - 3]

Leveraging Large Language Models

Duration: 6 Hours

3.1 - How LLMs Work

3.1.1 - Transformer Architecture

3.1.2 - LLM approach for your business

3.1.3 - LLM decision guide

3.2 - Deploying LLMs in Practice

3.2.1 - [Use Case] Workflow automation

3.2.2 - [Hands-On] LLM deployment for one use case

3.2.3 - Deployment checklist

3.3 - Cost and Scalability Analysis

3.3.1 - Cloud vs. on-premise costs

3.3.2 - [Hands-On] Cost-benefit analysis for an LLM project

3.3.3 - Cost-benefit analysis template

3.4 - The Project Lab - by AI Engineer HQ

[The Project Lab - 02] Building LLM from Scratch

[The Project Lab - 03] Finance Annual Report RAG Q&A

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<aside> [Module - 4]

Governance, Ethics, and Trust

Duration: 6 Hours

4.1 - Regulations and Compliance

4.1.1 - Global AI laws

4.1.2 - [Case Study] Compliance failures

4.1.3 - Compliance checklist

4.2 - Ethical AI and Bias

4.2.1 - Bias & Fairness

4.2.2 - Ethics charter template

4.3 - Cybersecurity and Trust

4.3.1 - AI vulnerabilities

4.3.2 - [Case Study] Trust-building

4.3.3 - [Hands-On] Trust plan for one AI system

4.4 - The Project Lab - by AI Engineer HQ

[The Project Lab - 04] Ethical Chatbot

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<aside> [Module - 5]

AI in Action and Capstone

Duration: 6 Hours

5.1 - Workforce Transformation

5.1.1 - Upskilling strategies

5.1.2 - [Case Study] Workforce success

5.1.3 - Upskilling plan template

5.2 - Live Scenarios and Metrics

5.2.1 - Simulation & Dashboard Creation

5.2.2 - [Hands-On] Mock AI dashboard

5.2.2 - Dashboard Template

5.3 - Capstone - Your AI Strategy

5.3.1 - Finalize a 3-year AI roadmap

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