Duration 2 days – 14 hrs

Overview

The Prompt Engineering and AI Productivity Tools Training Course is designed to help professionals effectively leverage Generative AI and modern AI productivity tools to improve efficiency, decision-making, communication, content creation, research, analysis, and daily work processes. Participants will learn the principles of prompt engineering, how Large Language Models (LLMs) work, and practical techniques for creating high-quality prompts that generate accurate, relevant, and valuable outputs.

The course also explores leading AI productivity tools used in business environments, including AI assistants, AI-powered writing tools, research tools, presentation generators, meeting assistants, automation platforms, and AI-enhanced workplace applications. Through hands-on exercises and real-world use cases, participants will develop practical skills to integrate AI into their daily workflows while maintaining responsible and secure AI usage practices.

Objectives

• Understand the fundamentals of Generative AI and Large Language Models (LLMs) 
• Apply prompt engineering principles to generate high-quality AI outputs 
• Design effective prompts for various business and professional scenarios 
• Utilize AI tools for content creation, research, analysis, and productivity 
• Improve communication, reporting, and documentation using AI 
• Automate repetitive tasks using AI-powered tools 
• Evaluate and refine AI-generated responses 
• Implement responsible, ethical, and secure AI practices 
• Create personal AI productivity workflows 
• Identify AI use cases applicable to their roles and organizations 

Target Audience

• • Executives and Business Leaders 
  • Managers and Supervisors 
  • Business Analysts 
  • Project Managers 
  • Human Resource Professionals 
  • Marketing and Sales Teams 
  • Customer Service Representatives 
  • Administrative Staff 
  • Knowledge Workers 
  • Consultants 
  • Educators and Trainers 
  • IT Professionals 
  • Digital Transformation Teams 
  • Entrepreneurs and Business Owners

Prerequisites 

• Basic computer literacy 
• Familiarity with common business applications
• Experience using email, documents, and web browsers 
• No programming or AI background required

Course Outline 

Day 1 – Foundations of Prompt Engineering and Generative AI

Module 1: Introduction to Artificial Intelligence and Generative AI

• Evolution of AI technologies 
• Understanding Artificial Intelligence, Machine Learning, and Generative AI 
• What are Large Language Models (LLMs)? 
• How Generative AI works 
• Business impact of AI 
• AI opportunities and limitations 
• Current AI trends and innovations 

Module 2: Fundamentals of Prompt Engineering

• What is Prompt Engineering? 
• Anatomy of an effective prompt 
• Understanding context and instructions 
• Prompt design principles 
• Common prompt engineering mistakes 
• Improving prompt quality 
• Prompt evaluation techniques 

Module 3: Essential Prompting Techniques

• Zero-shot prompting 
• One-shot prompting 
• Few-shot prompting 
• Role-based prompting 
• Context-driven prompting 
• Step-by-step prompting 
• Chain-of-thought prompting 
• Structured output prompting 
• Iterative refinement techniques 

Module 4: Business Prompt Engineering Use Cases

• Email generation and communication 
• Meeting summaries and action items 
• Report writing and executive summaries 
• Business documentation creation 
• Proposal and presentation development 
• Policy and procedure drafting 
• Customer service response generation 
• Knowledge management assistance 

Hands-On Workshop

• Creating professional prompts 
• Refining AI-generated outputs 
• Building reusable prompt templates 
• Prompt optimization exercises 

Day 2 – AI Productivity Tools and Workplace Automation

Module 5: AI Productivity Tools Landscape

• Overview of AI productivity platforms 
• AI assistants and copilots 
• AI-powered writing and content tools 
• AI research and knowledge tools 
• AI presentation and design tools 
• AI meeting assistants 
• AI transcription and note-taking tools 
• AI-enhanced workplace applications 

Module 6: AI for Personal and Team Productivity

• AI-powered task management 
• Time-saving workflows 
• AI-assisted brainstorming 
• AI-enhanced decision-making 
• Knowledge discovery and research 
• Productivity optimization techniques 
• Team collaboration with AI 
• AI-supported project management 

Module 7: Advanced Prompt Engineering Techniques

• Multi-step prompting 
• Prompt chaining 
• Persona-based prompting 
• Analytical prompting 
• Data interpretation prompting 
• Content transformation prompting 
• Workflow-oriented prompting 
• AI-assisted problem-solving frameworks 

Module 8: Responsible and Secure AI Usage

• AI governance fundamentals 
• Ethical considerations 
• Data privacy and confidentiality 
• Managing AI risks 
• Bias and hallucination awareness 
• Organizational AI policies 
• Human oversight and validation 
• Regulatory and compliance considerations 

Module 9: Building AI-Powered Workflows

• Identifying automation opportunities 
• AI workflow mapping 
• Combining multiple AI tools 
• Creating repeatable productivity systems 
• AI adoption strategies 
• Measuring AI productivity gains 

Capstone Workshop

• Design an AI productivity workflow 
• Create role-specific prompt libraries 
• Develop an AI-assisted business process 
• Present AI implementation recommendations