Topics:
- Predictions
- Classifications
- Recommendations
- Detections
Learning Objectives:
Understand various applications of Data Science, ML & AI in the real world
Delivery Type:
Theory
Topics:
- History of AI
- Applications of AI
- How AI Works
- Importance of Data & Processing Power
- Now Trending
- Major Users of AI & the Front runners
Learning Objectives:
Understand what is AI, how AI works and how AI can bring in the change
Delivery Type:
Theory
Topics:
- Introduction to Data Science
- Machine Learning
- Deep Learning
- Computer Vision
- Natural Language Processing
Learning Objectives:
Retrieving data. Wait a few seconds and try to cut or copy again.
Delivery Type:
Theory
Topics:
- The Flow - Data Science, ML, AI
- Method of Handling Data
- Common Tools & Techniques
- Data Bias
- Data Science Platforms
- Fairness, Accountability & Transparency
Learning Objectives:
Understand how AI is implemented, its challenges, regulatory framework within which AI to be implemented
Delivery Type:
Theory
Topics:
- Success of AI Projects
- Defining a Holistic AI Strategy
- Enabling an AI ready Culture
- Responsible AI
- Scaling AI
- Reproducible AI
Learning Objectives:
Understand how to plan for AI transformation in the organization
Delivery Type:
Theory
Topics:
- Computer Vision
- Natural Language Processing
- IoT
Learning Objectives:
Watch various real world demos that uses AI implementation
Delivery Type:
Workshop