e-LEARNING

Discover the magic behind AI (Artificial Intelligence) and ML (Machine Learning) and learn how to harness this power!

e-LEARNING

WELCOME TO THE EDUKADU AI/ML WORKSHOP

AI is making its presence felt in many different fields today - such as marketing, customer service, healthcare, finance, manufacturing, autonomous vehicles, sustainability, road safety, agriculture, disaster prediction and response, and more. These are exciting times but many are finding it hard to grasp this technology and all it offers. More importantly, we want to know how to use AI to our benefit. And so Edukadu has come up with this workshop to demystify the magic behind AI and begin your journey towards using AI effectively and creatively. Our aim is empower you to ride the wave of this AI disruption confidently in your life and career.




TAKE THE FIRST STEP!


e-MENTORING

Workshop Objectives:

  • Understand all the concepts and jargon of Machine Learning and Artificial Intelligence.

  • Learn about the types of AI and how to select the appropriate AI algorithms for business purposes such as predictions, segmentation and NLP (Natural Language Processing)

  • Experience technical AI solutions on a small-scale to understand how things work under the hood.

Workshop Benefits:

  • Develop the confidence in using AI in daily life and interactions, as well as in work.

  • Understand clearly when and where to apply AI to a business case.

  • Learn from experienced professionals who will share their expertise

TOPICS COVERED IN WORKSHOP



Secure eLearning

What is AI and ML?

  • Terminology and the essence of AI - Learning, Reasoning, Problem-Solving, Perception, Language
  • How AI relates to ML (machine learning), Business Analytics, Data Discovery, algorithms, data mining and digital transformation in general
  • The supporting AI frameworks in various languages
Secure eLearning

The business case for AI

  • Methods and best practices to make a business case for AI in your organization
  • How to describe the business case, and which elements are important to make the case.
  • Ethics, legislation and limitations of AI methods
Secure eLearning

The AI classification types and algorithms

  • AI Evolution – Reactive Machines, Limited Memory, Theory of Mind, Self-Aware, Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), Artificial Superintelligence (ASI)
  • Experimenting and identifying a robust AI process
  • Sandboxing and ensuring algorithms work correctly without bias
Secure eLearning

Let's look under the hood - Practical examples

  • Image analysis and generation
  • Forecasting complex financial series, such as stock prices
  • Complex pattern recognition
  • Natural language processing, including large language models
  • Recommender systems

WORKSHOP DURATION

This 4-hour workshop will be divided into
four 1-hour sessions for each topic.
Workshop Duration


INSTRUCTIONAL METHODS

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Engaging Presentations

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Fun Practical Assignments

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Short Quizzes