Knowledge Enhancement / AI Automation
Integrated Productive AI
Use AI confidently and productively at work: master prompt engineering, generative AI tools, AI-assisted analytics and automation, and build career-ready AI skills.
Program Overview
The Integrated Productive AI Training Program empowers participants with Artificial Intelligence technologies and AI-powered productivity approaches to improve efficiency, automate work, enhance decision-making and drive business outcomes. It combines AI fundamentals, prompt engineering, generative AI, analytics and automation into a single practical learning framework.
Through practical labs, real-world use cases and industry-focused projects, participants learn to apply AI confidently in their daily work and develop future-ready skills for the AI-powered workplace.
Learning Objectives
- Build a strong foundation in AI, generative AI and responsible AI
- Master prompt engineering for accurate and impactful results
- Use leading AI tools for content, research, analytics and productivity
- Automate business tasks and workflows using AI-powered platforms
- Develop practical, career-ready skills through hands-on projects
- Prepare for AI certification and emerging career opportunities
Audience Profile
Students, graduates and working professionals across business and technical roles who want to use AI tools productively in everyday work, as well as learners preparing for AI certifications and AI-focused career paths. No programming background is required.
Course Syllabus
Module 1: Introduction to Artificial Intelligence
Topics
- What is AI, evolution and types of AI
- Narrow AI vs general AI
- Real-world AI applications and industry use cases
- Introduction to AI certification
- AI ethics and responsible AI
- Generative AI fundamentals: LLMs, transformers and tokens
- How ChatGPT, Claude and Gemini work
- Prompt-response architecture and AI hallucinations
Labs & Practice
- Hands-on discussion and AI tools overview
- Practical generative AI use cases for business users
Module 2: Prompt Engineering and Generative AI Productivity
Topics
- Anatomy of effective prompts
- Role, context, zero-shot, one-shot and few-shot prompting
- Chain-of-thought, structured prompting and prompt chaining
- Prompt templates, reusable prompts and prompt libraries
- Claude AI fundamentals: interface, projects, artifacts and document analysis
- Claude for emails, reports, proposals, presentations and meeting summaries
- Claude for HR, customer support and knowledge management
- Claude for no-code development, HTML, website and frontend generation
Labs & Practice
- Hands-on prompt writing exercises
- Claude AI hands-on labs
- Build a mini application with Claude artifacts
Module 3: AI Productivity Tools and Workplace Automation
Topics
- NotebookLM for knowledge management
- Uploading documents, multi-source research and AI-generated summaries
- Podcast generation, mind maps and quizzes
- AI image, video and audio generation
- AI storytelling and marketing content
- Social media automation and ethical AI content creation
Labs & Practice
- Practical document analysis with NotebookLM
- Hands-on content creation labs
Module 4: Data Analytics and AI Automation
Topics
- AI in analytics and AI-powered insights
- Structured vs unstructured data
- Data storytelling and business intelligence concepts
- AI-assisted reporting and data summarization
- Real-world analytics examples
Module 5: AI Career
Topics
- AI career paths and certifications roadmap
- AI analyst, business consultant and prompt engineer roles
- AI productivity consultant and freelancing opportunities
- ATS concepts and AI resume optimization
- LinkedIn optimization and job description matching
- AI mock interviews, HR and technical interview preparation
Labs & Practice
- Practical resume workshop
- Practical mock interviews