The Artificial Intelligence Boom
- AI impact and trends across industries and business models
- Understanding the potential and limitations of AI
Course Curriculum
Course Curriculum
Self‑paced modules, watch anytime, anywhere.
Artificial Intelligence: The Big Picture
Practical AI Case Studies
- Real-world examples of AI applications across different sectors
- Discussion on the business value and ROI of these applications
Demystifying Artificial Intelligence
- What is AI — core concepts and technical jargons explained simply
- Exploring all the different branches of AI and Data Science
AI in Practice: Principles, People and Process
Building and Delivering AI
- Key job roles and responsibilities in AI teams
- Understanding the end-to-end Data Science lifecycle
Responsible AI and Data Governance
- The importance of data quality and governance in AI success
- Understanding key ethical considerations (bias, fairness, transparency)
Deep Dive into AI: Data, Models and Deployment
Data Wrangling and Feature Engineering
- Key data transformation techniques (cleaning, scaling, handling missing values)
- Introduction to feature engineering: creating meaningful features from raw data
The World of AI Algorithms
- Principles of key Machine Learning algorithms (Regression, Classification, Clustering)
- Introduction to Deep Learning and Neural Networks
- When to use different types of algorithms for different problems
Generative AI Paradigm
- Understanding the basics of Generative AI models (text, image, etc.)
- Building applications using foundation GenAI models
Deploying and Productionizing AI
- Understanding the concept of model deployment: making AI accessible
- Different deployment strategies (cloud, on-premise, APIs — explained conceptually)
AI in Action: Practical No-Code Labs
Excel for Data Science
- Seven essential features for efficient data wrangling
- Creating insightful data visualizations, and how to pick right chart for right dataset
Rapidminer for Machine Learning
- Building ML workflows using RapidMiner's visual interface
- Classification and prediction tasks with pre-loaded datasets
Teachable Machine for Audio and Images
- Collecting and labeling image and audio data for training
- Building and training custom image and audio classification models
Google Gemini for Generative AI
- Master the art of prompt engineering with best practices
- Leverage Deep Research to build reports and presentations
Add-On
To be disclosed during Masterclass
- This module will not be available in the recording
