Unlocking AI & Data Science: Foundation to Hands-On ML Training

Comprehensive foundation in Artificial Intelligence (AI) and Data Science, complemented by hands-on exercises in Machine Learning (ML).
About this Event

Whether you're a beginner or looking to deepen your understanding, this session will equip you with practical skills and industry insights.

Key Takeaways:

Comprehensive understanding of AI and Data Science concepts
Practical experience with ML models using hands-on exercises
Insights into data governance and stakeholder interactions
Guidance on building a career path in AI & Data Science

Topics to be Covered:

What is Artificial Intelligence and its Importance?
AI vs. Computer Vision vs. NLP – Understanding differences with appropriate use cases
What is Data Science and its Architecture?
Exploring Capabilities of Data Science
Analytics Life Cycle
AI, ML, Supervised & Unsupervised Learning – Use cases & live demo on structured/unstructured data
Evolution of a Data Science Project – Real-world use case
Data Governance Model & Operational Maturity
Key Data Science Stakeholders – Understanding interactions and workflows
Data Analytics Playbook – Practical insights
Introduction to ML Models
Basic ML Models – Regression & Classification
Hands-On ML – Drag-and-drop methods for quick implementation
Data Science Mind-Map – A structured learning path
Uniqueness of the Program Sessions