One Million Prompters
Boost your knowledge in prompt engineering
Course Description
Course Summary
This course provides a solid foundation in understanding AI, Generative AI, and Prompt Engineering, enabling participants to effectively utilise AI tools in their work and daily lives. With a hands-on, interactive approach, participants will master prompt creation, AI-powered productivity techniques, and creative AI applications, positioning them for success in the evolving job market. This future-proof program will empower learners to thrive in AI-driven industries and beyond.
Course Overview
Module 1 ( Unleashing the Power of AI)
Module Overview
Key Topics
Why do we study AI?
What is AI is and what it is not
The role of data in powering AI
Lifecycle of AI: Training and inference explained
Narrow AI vs. General AI
Real-life examples of Narrow AI
Relationship between AI and machine learning
Can AI become General: The Turing Test
Introduction to Generative AI
Understanding Large Language Models (LLMs)
How does Generative AI differ from Traditional Search Engines?
What is a Prompt, and What is Prompt Engineering?
Outcomes
Demystify AI and learn to distinguish hype from reality.
Understand fundamental AI concepts and how they apply to real-world situations.
Differentiate between Narrow AI and General AI, and grasp how data fuels AI.
Learn the lifecycle of AI, including training and inference.
Gain introductory knowledge of generative AI and prompt engineering.
Module Curriculum
- Course Introduction
- Course Structure & Outlinle
- Important Note on Continuous Learning
- Introduction to AI, Generative AI & Prompts
- Why Do we Study AI?
- What's NOT an AI: 5 Examples
- What is an AI
- How Data Fuels AI
- Lifecycle of AI: Training & Inference
- General AI vs Narrow AI
- Real Life Examples of Narrow AI: Examples
- What's the Relationship between AI and ML
- Can AI become General? The Turing Test
- Introduction to Generative AI
- What are LLMs (Large Language Models)
- How Generative AI differs from Search Engines?
- What is a Prompt?
- What is Prompt Engineering?
- Quiz
Module 2 (Commanding Conversations with AI Chatbots)
Module Overview
Key Topics
Overview of popular AI chatbots.
Using ChatGPT: A hands-on demo of crafting basic prompts.
Best practices: How to build a great prompt (Rule of Thumb).
Hands-on demos: ChatGPT with 3 examples of effective prompts.
Iteration and experimentation in prompt engineering.
Introduction to Copilot, hands-on demos.
Working with other chatbots like Google Gemini, Anthropic Claude.
Exploring voice prompting and mobile chatbots.
Understanding and dealing with AI hallucinations.
Outcomes
Learn the rule of thumb for effective prompts and tasks.
Learn how to effectively use AI chatbots by creating tailored prompts.
Develop skills in prompt experimentation and iteration to optimise chatbot responses.
Understand the role of voice prompts and two-way conversations with mobile AI chatbots.
Understand AI hallucinations, why they occur and how to resolve them.
Module Curriculum
- Most popular AI Chat Bots
- ChatGPT and How to use it
- Hands-On Demo: ChatGPT: Simple Basic Prompt
- How to build a Great Prompt: The Rule of Thumb
- Using Correct Prompts in ChatGPT
- Prompt Engineering: Iteration and Experimentation
- Copilot and how to use it
- Hands-On Demo: Microsoft Copilot: Demos
- Hands-On Demo: Google Gemini: Demos
- Hands-On Demo: Anthropic Claude: Demos
- Hands-On Demo: Mobile App Chat Bots – Voice prompting & 2-way conversations
- What are Hallucinations?
- Quiz
Module 3 (AI-Powered Productivity Revolution)
Supercharge Your Workflow with AI Tools for Every Office Task
Module Overview
Key Topics
Hands-On Demo: AI Prompts for Sales teams
Hands-On Demo: AI Prompts for Human Resources
Hands-On Demo: AI Prompts for Product teams
Hands-On Demo: AI Prompts for Marketing and Social Media
Hands-On Demo: AI Prompts for Programming
Hands on Demo: AI for Document Summarization
Note on Data Privacy and Security
Hands-On Demo: AI Prompts for Data Analysis
Outcomes
Learn how to apply generative AI to enhance workplace productivity across various tasks.
Develop tailored AI prompts for different professional departments, including HR, marketing, finance, legal, sales, social media, product management, programming, graphic design and creatives.
Understand the role of data privacy and security in AI applications.
Module Curriculum
- How Generative AI helps in the workplace: Emails, Presentations, Excel, Meetings
- Hands-On Demo: AI Prompts for Sales teams
- Hands-On Demo: AI Prompts for Human Resources
- Hands-On Demo: AI Prompts for Product teams
- Hands-On Demo: AI Prompts for Marketing and Social Media
- Hands-On Demo: AI Prompts for Programming
- Hands on Demo: AI for Document Summarization
- Note on Data Privacy and Security
- Hands-On Demo: AI Prompts for Data Analysis
- Quiz
Module 4 (Creative Frontiers with Generative AI)
Module Overview
Key Topics
Generative AI for art, images, and design.
Hands-on demos: Using DALL-E for creative projects.
Hands-on demos: Using Midjourney for creative projects.
Generative AI for video and animation: Exploring Runway ML.
Hands-on demos for video creation with AI.
Generative AI for music and audio production.
Exploring tools like Suno.ai to generate music.
Outcomes
Understand how generative AI can be applied in creative fields like art, music, and video production.
Develop skills in crafting AI-generated content across multiple mediums.
Experiment with AI tools to produce unique visual, auditory, and animated projects.
Module Curriculum
- Gen AI for Art, Images, Design
- Hands-On Demo: DALL-E
- Hands-On Demo: Midjourney
- Hands-On Demo: Suno.ai
- Hands-On Demo: Runway ML
- Quiz
- Final Assesment