Introduction to the Course

Welcome to AI Tools in Action: Boosting Productivity with Modern Workflows, your hands-on guide to harnessing the power of AI tools to enhance productivity, streamline processes, and meet today's workplace challenges. This course is designed for university students and professionals with basic computer literacy but no prior experience with AI. You'll learn how AI tools like ChatGPT, Midjourney, Notion AI, and more can reshape the way you work.

What You'll Gain

• Practical knowledge of current AI tools for text creation, image generation, coding, automation, and more.
• Hands-on experience implementing AI-driven workflows.
• Insight into how AI can transform productivity in real-world scenarios.
• A portfolio-worthy final project showcasing your ability to use multiple tools collaboratively.

Key Topics Covered

• An introduction to AI and its role in enhancing productivity.
• Text generation using tools like ChatGPT, Notion AI, and Grammarly.
• Creative applications with image and video generation tools like Midjourney.
• Streamlined coding with GitHub Copilot and debugging AI solutions.
• Data analysis and visualization using modern AI platforms.
• Final project: Solving a real-world challenge with multiple AI tools.

Who Should Take This Course?

The course is ideal for:

• University students who want to future-proof their skills for a competitive job market.
• Professionals looking to embrace AI tools to boost their workflow and productivity.
• Individuals with basic computer knowledge, curious about how AI tools can improve their daily tasks.

Course Structure

• Module 1: Introduction to AI and Productivity
  • Objective: Understand what AI is and explore its role in productivity.
  • Key concepts: Definitions, scope of AI tools, ethical uses.
  • Demonstration: Brief tour of AI tools covered in the course.
  • Practice: Quiz on matching AI tools to tasks.
• Module 2: Text Generation and Language Models
  • Objective: Learn how to use AI tools to craft written content.
  • Key tools: ChatGPT, Notion AI, Grammarly.
  • Practice: Write an article draft and edit it with AI suggestions.
  Knowledge Check: What are two advantages of using AI for text creation?
• Module 3: Image and Video Generation
  • Objective: Explore creative AI tools for visual storytelling.
  • Key tools: Midjourney, DALL·E, Pictory.
  • Practice: Design a poster or video for a fictional project using AI tools.
• Module 4: Code Generation and Debugging
  • Objective: Use AI to enhance coding workflows.
  • Key tools: GitHub Copilot, TabNine.
  • Practice: Automate a coding task and troubleshoot errors with AI assistance.
• Module 5: Productivity and Automation
  • Objective: Discover how AI-driven tools can streamline repetitive tasks.
  • Key tools: Zapier, Notion AI, and calendar automation tools.
  • Practice: Create a workflow automation for a weekly task.
• Module 6: Data Analysis and Visualization
  • Objective: Leverage AI to draw insights from data.
  • Key tools: Tableau AI, Microsoft Power BI, Google AutoML.
  • Practice: Analyze a dataset and create visualizations to share insights.
• Final Project: Real-World AI Solution
  • Objective: Apply multiple AI tools to tackle a real-world productivity or creative challenge.
  • Students will choose a scenario (e.g., launching a new product, creating an educational resource) and incorporate text, visuals, automation, and data analysis into a cohesive solution.