Azure Bay Area Tech Community

Description:

This course is designed for non-technical professionals who want to gain a foundational understanding of Artificial Intelligence (AI) and Data Science. The course will cover key concepts and terminologies in AI and Data Science in a way that is easy to understand, without requiring any programming or technical expertise.
The course will begin with an introduction to AI and Data Science, including an overview of the field and its potential applications. We will explore different types of data and how they are collected, as well as the importance of data quality and how to clean and preprocess data.
Throughout the course, we will provide real-life examples of how AI and Data Science are used in different industries. We will also discuss the limitations and ethical considerations of using data and explore future trends in AI and Data Science and their potential impact.
By the end of this course, participants will have gained a foundational understanding of AI and Data Science and will be able to apply this knowledge in their own work and decision-making. This course is ideal for professionals in HR, finance, marketing, operations, or any other non-technical field who want to stay up to date with the latest developments in AI and Data Science and leverage them to drive business value.

Learning Objectives:

• Acquire a solid grasp of AI and Data Science, even without technical background, to make informed decisions in your field.
• Master key concepts and terms in AI and Data Science.
• Learn to navigate different types of data, their collection methods, .
• Understand and gain skills in data cleaning and preprocessing.
• Explore real-world examples showcasing how AI and Data Science are effectively applied across various industries.
• Understand the ethical considerations and limitations tied to utilizing data, ensuring responsible and informed application of AI and Data Science solutions.
• Understand informed application of AI and Data Science solutions.
• Understand Gain insights into emerging trends within AI and Data Science.

Dive into the future of data by learning how to analyze like a pro without writing a single line of code using AI!

## No-Code Data Analytics with pGenerative AI

Date: July 9, 2026 at 1:00 PM - 4: 00 PM
& July 14, 2026 at 1:00 PM - 4:00 PM
Join us for a fun and hands-on session where you'll get to explore the role of AI in modern data analytics. Discover how to use generative AI to interpret data, analyze it, and generate meaningful insights without writing a single line of code.
You'll also learn how to leverage AI-powered automation tools for cleaning and transforming data effortlessly. Plus, find out how to spot trends and patterns quickly, making your decision-making smarter and easier with AI-driven analytics.
Topic Outline:
Introduction to No-Code AI for Data Analytics
- The evolution of data analytics and AI¿s role
- Understanding no-code vs. traditional analytics
- Overview of AI-powered no-code tools

Get ready to boost your research game and uncover fresh insights with ChatGPT in a fun, interactive session!
Learning Objectives:
Participants will have the opportunity to:
- Utilize ChatGPT Canvas as an interactive collaborator for writing and refining ideas.
- Leverage Deep Research to efficiently gather, analyze, and synthesize information.
- Use ChatGPT for data analysis, including summarizing datasets, identifying patterns, and making data-driven recommendations.
- Apply advanced prompt engineering techniques to optimize ChatGPT's responses for research, problem-solving, and structured content generation.
- Enhance productivity and automate repetitive tasks using AI-powered tools.
- Explore real-world applications of ChatGPT across business, education, and data analytics.

Topic Outline:
ChatGPT: What's New?
- Overview of the latest ChatGPT updates and features
- Understanding ChatGPT Canvas, Deep Research, and AI-powered data analysis
- Hands-on: Exploring the updated ChatGPT interface
ChatGPT Canvas: Interactive Collaboration & Workflow Structuring
- Using Canvas as an AI co-thinker for content creation
- Structuring workflows for research, writing, and project planning
- Hands-on: Creating an interactive ChatGPT Canvas project for writing
Deep Research: AI-Enhanced Information Gathering
- How Deep Research enhances and expands knowledge retrieval
- Strategies for refining AI-assisted research
- Hands-on: Using Deep Research for an industry-specific case study
AI for Data Analysis & Insights Generation
- ChatGPT's capabilities in analyzing structured and unstructured data
- Summarizing datasets, gathering insights, and making predictions
- Hands-on: Performing AI-assisted data analysis with ChatGPT
Advanced Prompt Engineering: Optimizing AI Responses
- Crafting multi-step prompts for complex research and analytics
- Refining prompts for better accuracy and relevance
- Hands-on: Writing advanced prompts for data interpretation and decision-making
AI-Assisted Content Creation & Productivity
- Generating structured reports, presentations, and articles
- Automating repetitive tasks with ChatGPT
- Hands-on: Creating a comprehensive research report with AI assistance
Training material provided: Yes (Digital format)

Get ready to explore how Microsoft Copilot can boost your productivity with some cool hands-on tips and tricks!
Learning Objectives:
Participants will have the opportunity to:
- Understand the capabilities and limitations of Microsoft Copilot.
- Utilize Copilot in Microsoft Word to generate, summarize, and refine content.
- Leverage Copilot in Excel for data analysis, formula generation, and insights.
- Enhance email and scheduling efficiency with Copilot in Outlook.
- Improve collaboration and meeting productivity using Copilot in Teams.
- Use Copilot in PowerPoint to create AI-generated presentations.
- Implement best practices for AI-assisted work automation.

Topic Outline:
Introduction to Microsoft Copilot
- Overview of Microsoft Copilot and its AI capabilities
- Understanding Copilot¿s integration across Microsoft 365 apps
- Ethical and security considerations when using AI-powered tools
Copilot in Microsoft Word: AI-Powered Writing and Editing
- Content generation and refinement
- Summarizing and reformatting documents
- Hands-on: Creating and enhancing reports with Copilot
Copilot in Microsoft Excel: AI for Data Analysis
- Automated data insights and visualization
- Generating and explaining complex formulas
- Hands-on: Analyzing datasets and creating reports with Copilot
Copilot in Microsoft Outlook: Smarter Emails and Scheduling
- AI-assisted email drafting and summarization
- Scheduling and managing meetings efficiently
- Hands-on: Automating email and calendar tasks with Copilot
Copilot in Microsoft Teams: Enhancing Collaboration
- AI-powered meeting notes and action items
- Summarizing chat discussions and key takeaways
- Hands-on: Using Copilot to improve team collaboration
Copilot in Microsoft PowerPoint: AI-Generated Presentations
- Creating presentations with AI-generated content and design
- Automating slide formatting and improvements
- Hands-on: Building a professional presentation with Copilot
Best Practices for Using Copilot in Workflows
- Optimizing Copilot for everyday tasks
- Understanding AI limitations and when to verify outputs
- Hands-on: Applying Microsoft Copilot in a real-world work scenario
Training material provided: Yes (Digital format)