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Fundamentals of Machine Learning and Artificial Intelligence

AWS Instructor

In this course, you will learn about the foundations of machine learning (ML) and artificial intelligence (AI). You will explore the connections between AI, ML, deep learning, and the emerging field of generative artificial intelligence (generative AI), which has captured the attention of businesses and individuals alike. You will gain a solid understanding of foundational AI terms, laying the groundwork for a deeper dive into these concepts. Additionally, you will learn about a selection of Amazon Web Services (AWS) services that use AI and ML capabilities. You will gain practical insights into how these tools can be used to solve real-world problems and drive innovation across various industries.

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What's inside

Syllabus

Fundamentals of Machine Learning and Artificial Intelligence

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops foundational understanding of AI and ML, building a base for deeper dives
Taught by AWS instructors, recognized in the AI and ML field
Examines highly relevant concepts in generative artificial intelligence
Leverages AWS services in AI and ML, promoting practical application
Provides a solid foundation for beginners seeking entry into the AI and ML fields

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Fundamentals of Machine Learning and Artificial Intelligence with these activities:
Practice coding in Python
Ensure that your coding skills are up to date to facilitate learning AI concepts.
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Show steps
  • Complete coding exercises on platforms like HackerRank or LeetCode
  • Build a small coding project using Python
Review mathematics for AI
Strengthen your understanding of the mathematical concepts underlying AI.
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Show steps
  • Review linear algebra and calculus
  • Practice solving math problems related to AI
Read 'Artificial Intelligence: A Modern Approach'
Gain a comprehensive understanding of the field through this classic textbook.
Show steps
  • Read the textbook thoroughly
  • Complete the exercises at the end of each chapter
Eight other activities
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Show all 11 activities
Review Python basics
Start by solidifying your understanding of Python. This activity will ensure that you have the proper foundation to build on during the course.
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Show steps
  • Complete Codecademy's Python 3 course
  • Solve practice problems on LeetCode or HackerRank
AWS AI/ML Immersion Day
Provides immersive hands-on experience with AWS AI/ML services and industry case studies.
Browse courses on Machine Learning
Show steps
  • Register for the event
  • Attend and participate in workshops
  • Engage with AWS experts and engineers
Solve AI puzzles and challenges
Exercise your logical thinking and problem-solving skills through AI-related puzzles and challenges.
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Show steps
  • Attempt puzzles from Kaggle or AI competitions
  • Solve challenges from AI research papers
Code Kata on Fundamental ML Algorithms
Enhances problem-solving and coding skills in implementing core ML algorithms.
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Show steps
  • Select a code kata platform
  • Practice implementing various ML algorithms
  • Review and optimize code solutions
Build an ML Model Using AWS SageMaker
Develops practical skills in using AWS SageMaker for building and deploying ML models.
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Show steps
  • Choose and prepare a dataset
  • Select and configure an ML algorithm
  • Train and evaluate the model
  • Deploy the model for use
Build a machine learning model using Amazon SageMaker
Test your skills and apply your understanding by practicing with AWS SageMaker.
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Show steps
  • Follow the Amazon SageMaker getting started guide
  • Complete the Amazon SageMaker tutorial
  • Deploy your model to Amazon SageMaker
Join a study group and help peers with AI concepts
Solidify your understanding by assisting others and engaging in group discussions.
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Show steps
  • Join a study group or online forum for the course
  • Actively participate in discussions and offer help to peers
  • Lead a study session on a specific AI topic
Write a blog post about a generative AI application
Solidify your understanding of generative AI by writing about an application in this field.
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Show steps
  • Choose an application of generative AI to write about
  • Research the application and its underlying technology
  • Write a blog post explaining the application and its potential impact

Career center

Learners who complete Fundamentals of Machine Learning and Artificial Intelligence will develop knowledge and skills that may be useful to these careers:

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Course image
Via
Coursera
Institution
Amazon Web Services
Instructor
AWS Instructor
Session
August 5, 2024 - August 19, 2024
Language
English
Good to know
Develops foundational understanding of AI and ML, building a base for deeper dives
Taught by AWS instructors, recognized in the AI and ML field
Examines highly relevant concepts in generative artificial intelligence
Leverages AWS services in AI and ML, promoting practical application
Provides a solid foundation for beginners seeking entry into the AI and ML fields
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