Week 1: Introduction to AI and Case Studies

Session 1: Understanding AI and Real-World Case Studies
Objective: Introduce the basics of AI and its applications.
Activities:

• Overview of AI concepts and its importance.
• Introduction to the Titanic dataset as a case study.
• Exploring how AI can be used to analyze real-world data.

Week 2: Getting Data from Kaggle

Session 2: Accessing and Downloading Data from Kaggle
Objective: Learn how to access and download datasets from Kaggle.
Activities:

• Introduction to Kaggle and its features.
• Step-by-step guide to downloading the Titanic dataset.
• Discussing the structure and contents of the dataset.

Week 3: Cleaning Data with GPT-4

Session 3: Data Cleaning Techniques Using GPT-4
Objective: Understand the importance of data cleaning and learn how to use GPT-4 for this purpose.
Activities:

• Introduction to data cleaning and preprocessing.
• Using GPT-4 to identify and fix issues in the Titanic dataset.
• Hands-on practice with cleaning data.

Week 4: Introduction to Python

Session 4: Basics of Python for Data Analysis
Objective: Introduce Python programming and its applications in data analysis.
Activities:

• Basic Python syntax and commands.
• Writing simple Python scripts to analyze data.
• Practice exercises with the Titanic dataset.

Week 5: Data Visualization with Matplotlib and Seaborn

Session 5: Creating Visualizations with Matplotlib and Seaborn
Objective: Learn how to visualize data using Python libraries.
Activities:

• Introduction to Matplotlib and Seaborn.
• Creating basic plots and graphs.
• Hands-on practice with visualizing the Titanic dataset.

Week 6: Advanced Data Visualization Techniques

Session 6: Enhancing Visualizations with Matplotlib and Seaborn
Objective: Explore advanced visualization techniques.
Activities:

• Customizing plots and graphs.
• Creating complex visualizations to uncover insights.
• Practice exercises with the Titanic dataset.

Week 7: Using Google Data Studio and Power BI

Session 7: Visualizing Data with Google Data Studio and Power BI
Objective: Learn to create interactive dashboards using visualization tools.
Activities:

• Introduction to Google Data Studio and Power BI.
• Creating interactive dashboards with the Titanic dataset.
• Hands-on practice with real-time data visualization.

Week 8: Project Showcase and Feedback

Session 8: Presenting Final Projects and Receiving Feedback
Objective: Present final projects and receive constructive feedback.
Activities:

• Students present their data analysis projects.
• Peer reviews and feedback from instructors.
• Celebrating achievements with a certification ceremony.

Key Takeaways:

• Basic understanding of AI concepts and applications.
• Skills in accessing and downloading datasets from Kaggle.
• Experience in cleaning data using GPT-4.
• Introduction to Python programming for data analysis.
• Mastery of data visualization using Matplotlib, Seaborn, Google Data Studio, and Power BI.
• Completion and presentation of a data analysis project for public recognition.

Assessment and Support:

• Regular assignments and quizzes to reinforce learning.
• Continuous support and guidance from experienced instructors.
• Opportunities for peer collaboration and feedback sessions.

Final Outcome:By the end of this course, students will have a solid foundation in AI-driven data analysis and visualization, equipped with the skills to present their findings effectively. They will gain confidence in handling AI projects and showcasing their work on public platforms.

Introduction to Generative AI in Content Creation (15 Minutes)

• Overview of Generative AI (5 minutes): Introduction to the transformative role of Generative AI in the content creation landscape.
• The Power of AI Tools (10 minutes): Discuss the benefits of utilizing AI for overcoming content creation challenges, focusing on innovation, scalability, and personalization.

Tool Exploration and Demonstrations (65 Minutes - Divided into segments, approximately 8 minutes each)

1. Tome - Explore how to create interactive presentations and reports that dynamically adapt to audience interests.
2. Jasper - Introduction to AI-driven writing assistance for generating articles, blog posts, and social media content.
3. Word AI - Learn to improve text uniqueness and quality with advanced rephrasing tools.
4. Writesonic - Discover generating marketing materials, including ad copy and product descriptions, quickly and creatively.
5. Pictory - Overview of creating high-quality videos from text content, ideal for tutorials, social media, and marketing videos.
6. InVideo - Demonstrate crafting engaging videos with a vast library of templates, stock footage, and AI-powered editing features.

For each tool, include a concise introduction, highlight key functionalities, show practical applications through demonstrations, and discuss potential uses in content creation.

Hands-On Practice (25 Minutes)

• Activity (15 minutes): Participants choose one tool to focus on, creating a piece of content, whether it's a blog entry, a marketing copy, or a short video, that aligns with their interests or professional needs.
• Peer Review (10 minutes): Share the created content in small breakout groups or pairs for feedback, discussing the chosen tool's application and the creative process involved.

Ethical Considerations and Best Practices (15 Minutes)

• Ethical Use of AI (10 minutes): Address copyright concerns, the importance of adding personal touch to AI-generated content, and maintaining transparency about the use of AI in content creation.
• Integrating AI Tools (5 minutes): Conclude with strategies for incorporating AI into regular content creation workflows, ensuring authenticity and quality.

Wrap-Up and Q&A (10 Minutes)

• Course Recap (5 minutes): Summarize the session's key insights, reiterating the potential of Generative AI to transform content creation across mediums.
• Open Floor for Questions (5 minutes): Allow participants to ask questions, encouraging further exploration of the tools and concepts discussed.

Objective: Empower educators and trainers with cutting-edge Generative AI tools to innovate teaching methods, personalize learning experiences, and create engaging educational content.

Introduction to Generative AI in Education (15 Minutes)

• The Impact of AI on Learning (5 minutes): Explore the potential of Generative AI to revolutionize education by providing personalized learning experiences, automating content creation, and facilitating immersive learning environments.
• Overview of AI Tools (10 minutes): Introduce the suite of tools to be discussed, emphasizing their capabilities and potential applications in education and training.

Exploration and Demonstrations of AI Tools (75 Minutes - Divided into segments)

1. ChatGPT for Curriculum Development and Student Support (15 minutes)

• Tailor lesson plans and generate educational content.
• Provide AI-driven tutoring and answer student queries in real-time.

1. Knewton Alta for Adaptive Learning (15 minutes)

• Customize learning paths based on individual student performance.
• Integrate with existing course materials for a seamless learning experience.

1. Quizlet's AI Learning Tools (15 minutes)

• Create study sets and learning activities powered by AI.
• Utilize the AI features to enhance memorization and learning strategies.

1. Eduflow for Interactive Learning Experiences (15 minutes)

• Design and run interactive courses with peer feedback and active learning.
• Employ AI to analyze engagement and improve course delivery.

1. Socratic by Google for AI-Powered Education Assistance (15 minutes)

• Utilize AI to help students understand complex concepts through visual explanations and resources.
• Offer support across a variety of subjects, catering to diverse learning needs.

Hands-On Practice and Application (20 Minutes)

• Activity (15 minutes): Participants choose one tool to explore in depth. They'll apply it to a current educational challenge they face, such as creating a lesson plan, designing a quiz, or setting up a course module.
• Discussion and Sharing (5 minutes): Share experiences and outcomes from the hands-on activity. This segment fosters a discussion on practical applications and creative uses of AI in education.

Ethical Considerations and Best Practices (10 Minutes)

• Responsible Use of AI (5 minutes): Address ethical considerations in using AI for education, including data privacy, bias minimization, and ensuring accessibility for all learners.
• Integrating AI into Education (5 minutes): Conclude with best practices for incorporating AI tools into teaching and training workflows, highlighting the importance of complementing AI with human oversight and interaction.

Wrap-Up and Q&A (10 Minutes)

• Summary (5 minutes): Recap the workshop's key insights, reinforcing the transformative potential of Generative AI in education and training.
• Open Floor for Questions (5 minutes): Allow participants to ask questions, facilitating further discussion on implementing AI tools in their educational practices.

Objective: Equip coaches, mentors, and personal development professionals with AI tools that enhance coaching effectiveness, offering personalized guidance and support to clients.

Introduction to AI in Coaching (15 Minutes)

• Transformative Potential of AI (5 minutes): Discuss how AI can augment coaching by providing data-driven insights, personalized recommendations, and scalable support mechanisms.
• AI Tools Overview (10 minutes): Briefly introduce the AI tools to be explored, highlighting their relevance to various coaching scenarios.

Exploration and Demonstrations of AI Tools (75 Minutes - Approximately 15 minutes per tool)

1. ChatGPT for Personalized Conversation and Feedback

• Utilize ChatGPT to simulate conversational coaching sessions, generate personalized feedback, and provide clients with tailored action steps.

1. Socratic by Google for Exploratory Learning

• Explore how Socratic can assist coaches in finding resources and explanations across a wide range of topics, supporting client learning and development.

1. Quenza for Client Engagement and Progress Tracking

• Demonstrate Quenza’s capabilities in designing personalized coaching paths, activities, and assessments to track client progress and engagement.

1. BetterUp for Integrated Coaching Support

• Overview of BetterUp’s platform for combining AI insights with human coaching to address client goals in personal development, career growth, and wellbeing.

1. Reflect (ReflectDB) for Emotional Intelligence and Reflection

• Introduce Reflect as a tool for enhancing self-reflection, emotional awareness, and mindfulness practices within coaching sessions.

Hands-On Practice and Implementation (20 Minutes)

• Interactive Activity (15 minutes): Participants select an AI tool to apply in a mini-coaching scenario, focusing on areas such as goal setting, problem-solving, or personal development exercises.
• Group Discussion and Feedback (5 minutes): Share experiences and discuss the application of AI tools in coaching practice, including successes, challenges, and insights gained.

Ethical Considerations and Integrating AI into Coaching (10 Minutes)

• Navigating Ethics and Privacy (5 minutes): Address the importance of ethical AI use, client consent, and data privacy in the context of coaching.
• Best Practices for AI-enhanced Coaching (5 minutes): Share strategies for effectively integrating AI tools into coaching practices without losing the human touch, emphasizing the augmentation rather than replacement of personal interactions.

Wrap-Up and Q&A (10 Minutes)

• Recap and Next Steps (5 minutes): Summarize key takeaways and encourage participants to explore how AI can be seamlessly integrated into their coaching methodologies.
• Q&A Session (5 minutes): Open the floor to questions, allowing for deeper discussion on specific tools, techniques, and implementation strategies.

Day 1: Introduction to Generative AI and Mind Mapping

• Morning Session: Introduction to Generative AI - Concepts and Applications in Education.
• Afternoon Workshop: Using MindMeister for Educational Brainstorming.
• Assignment: Create a mind map outlining an AI-integrated lesson plan.

Day 2: Personalized Tutoring and Data Analysis

• Morning Session: Exploring AI-Powered Tutoring with TutorMe.
• Afternoon Workshop: Data Analysis and Problem Solving with Wolfram Alpha.
• Assignment: Develop a personalized tutoring strategy for a chosen subject using TutorMe; solve a complex data problem relevant to your field with Wolfram Alpha.

Day 3: Organizational Tools and Engaging Content

• Morning Session: Streamlining Educational Content with Evernote.
• Afternoon Workshop: Engaging Students with TED-Ed Resources.
• Assignment: Organize a lesson plan using Evernote; select and critique a TED-Ed talk relevant to your curriculum.

Day 4: Creative Visuals and Accessibility

• Morning Session: Enhancing Classroom Creativity with Canva.
• Afternoon Workshop: Accessibility in Education - Using Speechify for Enhanced Learning.
• Assignment: Create an educational infographic using Canva; convert a lesson excerpt to audio using Speechify and discuss its accessibility features.

Day 5: Language Mastery and AI Ethical Considerations

• Morning Session: Enhancing Writing Skills with Grammarly and Voicemaker.
• Afternoon Workshop: Reworking Content with Quillbot and Discussing AI Ethics.

Assignment: Edit a written assignment using Grammarly; convert a text excerpt to MP3 using Voicemaker; paraphrase a complex paragraph using Quillbot. Conclude with a discussion on ethical considerations in using AI in education.