Capability Development / AI
Integrated Productive AI
The Integrated Productive AI Training Program equips participants with AI technologies and AI-powered productivity tools to improve efficiency, automate work, enhance decision-making and drive business outcomes. It combines AI fundamentals, prompt engineering, generative AI, analytics and automation with hands-on experience using tools such as Claude AI, ChatGPT, Gemini, NotebookLM, Julius AI and n8n.
Program Overview
The Integrated Productive AI Training Program equips participants with AI technologies and AI-powered productivity tools to improve efficiency, automate work, enhance decision-making and drive business outcomes. It combines AI fundamentals, prompt engineering, generative AI, analytics and automation with hands-on experience using tools such as Claude AI, ChatGPT, Gemini, NotebookLM, Julius AI and n8n.
Audience Profile
For working professionals and students who want to use AI confidently and productively in real-world work, through practical labs, real-world use cases and industry-focused capstone projects.
Course Syllabus
Module 1: Introduction to Artificial Intelligence
Topics
- What is AI, evolution of AI and narrow vs. general AI
- Fundamentals of machine learning: supervised, unsupervised, reinforcement learning
- Introduction to Azure AI services and Cognitive Services
- Generative AI fundamentals: LLMs, transformers and hallucinations
Labs / Practice
- Explore Azure AI service demos
Module 2: Prompt Engineering and Generative AI Productivity
Topics
- Anatomy of effective prompts: role, context, zero/one/few-shot
- Chain-of-thought and structured prompting, prompt libraries
- Claude AI for documents, writing, coding and business productivity
- Claude AI for no-code application development
Labs / Practice
- Write and optimize prompts
- Build a mini application with Claude artifacts
Module 3: AI Productivity Tools and Workplace Automation
Topics
- NotebookLM for research, summaries and podcast generation
- AI writing and voice productivity tools
- AI presentation, design and image/video generation tools
- Google AI Studio for prompt-to-application development
Labs / Practice
- Analyze documents with NotebookLM
- Generate content and presentations with AI tools
Module 4: Data Analytics and AI Automation
Topics
- AI-powered insights and data storytelling
- Julius AI for dataset analysis and chart generation
- AI with Excel: formulas, cleaning and forecasting
- Workflow automation with n8n and AI agents
Labs / Practice
- Analyze a dataset with Julius AI
- Build an automation workflow in n8n
Module 5: AI Career, Security, Ethics and Responsible AI
Topics
- Responsible AI principles, bias and fairness
- AI security, data protection and governance
- AI career paths, certifications and ATS resume optimization
- AI-assisted interview preparation
Labs / Practice
- Optimize a resume with AI tools
- Run an AI mock interview
Module 6: Capstone Projects
Topics
- Capstone project planning and AI solution design
- Building AI-powered productivity, analytics and automation solutions
- Final project presentation and career roadmap
Labs / Practice
- Build and present a capstone AI solution