Course
AI for Data Analytics & BI
30 hours, 42 minutes
Description
AI along with generative AI is a cutting-edge technology that will transform nearly every
business function, ranging from content creation and product design, to improving customer experience and marketing new ideas. While the benefits of AI are immense, technology has its limitations and poses some ethical considerations. This course is signed for front-line learners, who will be introduced
to AI concepts and ethical considerations.
What Students Will Learn
AI for Data Analytics and BI: Activate
- Skill Benchmark: Generative AI, Prompting and Ethics Awareness (Beginner)
- Course: An Introduction to Generative AI
- Course: An introduction to GPT Models
- Course: Artificial intelligence and Machine Learning
- Course: Deep learning and Neural Networks
- Course: Geeting Started with Prompt Engineering
- Course: Exploring Prompt Engineering Techniques
- Case studies in Prompt
- Simulator: Considerations for using AI Responsibly
AI for Data Analytics and BI: Accelerate
- Skill Benchmark: AI in Power BI Competency (intermediate Level)
- Course: Leveraging AI insights & Text Analytics in Power BI
- Course: Training Machine Learning Models in Power BI
- Course: AI-Powered visuals in Power BI
- Course: Smart Narratives, Q & A Visuals, & Copilot in Power BI
- Course: Prompt Engineering for Data: Leveraging Prompts when working with Data
- Course: Prompt Engineering for Data: Basic Data Manipulation Using Generative AI
- Course: Prompt Engineering for Data: Leveraging Prompts for Filtering & Grouping Data
- Course: Prompt Engineering for Data: Combining & Visualizing Data using Generative AI
- Lab: Working with AI Prompts in Azure Open AI Studio (guided)
AI for Data Analytics and BI: Transform
- Skill Benchmark: Prompt Engineering for Data Science Literacy (Beginner Level)
- Interactive Course: Build a D3.js Visualization with Generative AI
- Data Visualization Lab: Visualize the Central Park Squirrel Census with D3.js and Generative AI Part 1
- Interactive Course: Troubleshoot and Refine Generative AI Data Visualization
- Lab: Data Visualization Lab: Visualize the Central Park Squirrel Census with D3.js and Generative AI Part 2
Optional Resources
- AI for Data Analytics & BI: Bookshelf
Overall Learning Outcomes
- Foundational AI Knowledge
- Understand core AI concepts, including machine learning, deep learning, and neural networks.
- Grasp the capabilities and limitations of generative AI and GPT models.
- Ethical Awareness
- Learn about the ethical considerations and responsible use of AI in various applications.
- Prompt Engineering Skills
- Master the art of crafting effective prompts for generative AI to manipulate and analyze data..
- Apply advanced techniques to filter, group, combine, and visualize data effectively.
- AI in BI Tools:
- Leverage AI-powered features in Power BI to enhance business intelligence capabilities.
- Train machine learning models and create AI-driven insights for better decision-making..
- Data Visualization with Generative AI:
- Develop and refine interactive data visualizations using tools like D3.js with generative AI.
- Gain practical experience in implementing AI for real-world data visualization tasks.
This course prepares learners to integrate AI into BI workflows, effectively use generative AI for data manipulation and visualization, and address ethical challenges in AI applications.