Conceptual Overview of AI & Machine Learning - Cprime
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Conceptual Overview of AI & Machine Learning

Demystify AI and ML. Gain a clear understanding of what these technologies are, how they work, and their potential impact on various industries and society as a whole

Overview

This introductory course is designed for individuals who are curious about the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML).

 

Through engaging lectures, interactive discussions, and real-world hands-on exercises, participants will explore the key concepts, terminologies, and applications of AI and ML. This course is perfect for beginners with no prior AI-specific technical background who wish to gain a solid foundation in AI/ML, enabling them to appreciate the significance of these technologies and consider their implications for the future.

 

This course is ideal for anyone interested in gaining a foundational understanding of AI/ML, including students, professionals from non-technical backgrounds, and anyone curious about the technologies shaping our future. Join us to embark on a journey of discovery into the fascinating world of AI and Machine Learning.

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$495 (USD)
Standard Delivery: 8 hours of instruction
Group (3+): $450 USD
GSA: $361.35 USD

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There are currently no scheduled classes for this course.
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Conceptual Overview of AI & Machine Learning Schedule

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There are currently no scheduled classes for this course. Please contact us if you would like more information or to schedule this course for you or your company.

Full Course Details

1.  Introduction to Artificial Intelligence

  • Defining AI: Understanding what AI is and what it is not
  • Brief history of AI: From early concepts to modern AI
  • Types of AI: Narrow AI vs. General AI

2.  Foundations of Machine Learning

  • What is Machine Learning?
  • How ML differs from traditional programming
  • Overview of ML types: Supervised, Unsupervised, and Reinforcement Learning

3.  Key Concepts and Terminologies

  • Understanding algorithms, models, and data in ML
  • Introduction to Neural Networks and Deep Learning
  • Exploring key metrics for evaluating ML models

4. Applications of AI and ML

  • Real-world applications across various industries (e.g., healthcare, finance, transportation)
  • Impact of AI and ML on society and the future of work
  • Ethical considerations and challenges in AI and ML

5. The AI and ML Ecosystem

  • Overview of tools, languages, and platforms used in AI/ML development
  • Introduction to the role of data scientists and AI/ML engineers
  • Emerging trends and future directions in AI and ML

6. Getting Started with AI and ML

  • Resources for further learning and exploration in AI and ML
  • Pathways to becoming an AI/ML professional
  • Community and networking opportunities in the AI/ML field

 

This course has no prerequisites.

After completing this course, you will be able to:

  • Understand the basic concepts and terminologies of AI and ML
  • Recognize the types and applications of AI and ML in various sectors
  • Appreciate the ethical considerations and societal impacts of AI and ML
  • Identify resources and pathways for further learning in AI and ML

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