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Course AI-AI3 AI Strategy and Introduction to Data Structures

Course AI-AI3 AI Strategy and Introduction to Data Structures

$595.00

Classes on one day, Instructor Led, online and discounts for more than one student

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Description

Course Description

This one-day course provides a foundational understanding of AI strategy and the role of data structures in AI systems. Participants will learn how AI strategies align with business goals, explore essential data structures used in AI, and gain hands-on experience with AI-driven decision-making processes.

Learning Objectives

By the end of this course, participants will be able to:

  • Understand AI strategy and its role in business transformation.
  • Identify key AI frameworks and methodologies for strategic implementation.
  • Learn fundamental data structures used in AI and machine learning.
  • Explore real-world AI strategy case studies.
  • Apply AI and data structures concepts through hands-on exercises.

Course Schedule

Session 1: AI Strategy Fundamentals (9:00 AM – 10:00 AM)

  • Defining AI Strategy: Business Goals & AI Integration
  • The AI Adoption Lifecycle: From Experimentation to Full Deployment
  • Key AI Frameworks and Methodologies
  • Case Studies: How Companies Leverage AI for Competitive Advantage

Session 2: Introduction to Data Structures for AI (10:15 AM – 11:30 AM)

  • Why Data Structures Matter in AI
  • Overview of Key Data Structures: Arrays, Lists, Trees, Graphs, Hash Tables
  • How AI Models Use Data Structures Efficiently
  • Optimizing Data Storage and Retrieval for AI Applications

Session 3: AI Strategy in Practice (11:45 AM – 12:30 PM)

  • AI Governance and Ethical Considerations
  • Scaling AI: Challenges and Best Practices
  • The Role of Data Strategy in AI Success
  • Discussion: How Organizations Can Build an AI-Ready Culture

Lunch Break (12:30 PM – 1:30 PM)

Session 4: Practical Applications of Data Structures in AI (1:30 PM – 2:30 PM)

  • Data Structures in Machine Learning and Deep Learning
  • Graphs and Trees in Neural Networks
  • Searching and Sorting Algorithms in AI Systems
  • Real-World Example: Data Management in AI-driven Applications

Session 5: Hands-on Activity & Case Study (2:45 PM – 4:00 PM)

  • Hands-on Exercise: Implementing Basic Data Structures for AI Processing
  • Group Discussion: AI Strategy for a Hypothetical Business Problem
  • Case Study Analysis: AI Strategy in a Leading Industry (e.g., Healthcare, Finance, Retail)

Final Discussion & Closing (4:00 PM – 4:30 PM)

  • Recap of Key Learnings
  • The Future of AI Strategy & Data Structures
  • Open Q&A and Course Wrap-up