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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Syllabus
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Activities
Practice coding in Python
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Ensure that your coding skills are up to date to facilitate learning AI concepts.
Browse courses on
Python
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-
Complete coding exercises on platforms like HackerRank or LeetCode
-
Build a small coding project using Python
Review mathematics for AI
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Strengthen your understanding of the mathematical concepts underlying AI.
Browse courses on
Mathematics
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-
Review linear algebra and calculus
-
Practice solving math problems related to AI
Read 'Artificial Intelligence: A Modern Approach'
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Gain a comprehensive understanding of the field through this classic textbook.
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-
Read the textbook thoroughly
-
Complete the exercises at the end of each chapter
Eight other activities
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Review Python basics
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Start by solidifying your understanding of Python. This activity will ensure that you have the proper foundation to build on during the course.
Browse courses on
Python
Show steps
-
Complete Codecademy's Python 3 course
-
Solve practice problems on LeetCode or HackerRank
AWS AI/ML Immersion Day
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Provides immersive hands-on experience with AWS AI/ML services and industry case studies.
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Machine Learning
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-
Register for the event
-
Attend and participate in workshops
-
Engage with AWS experts and engineers
Solve AI puzzles and challenges
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Exercise your logical thinking and problem-solving skills through AI-related puzzles and challenges.
Browse courses on
Problem Solving
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-
Attempt puzzles from Kaggle or AI competitions
-
Solve challenges from AI research papers
Code Kata on Fundamental ML Algorithms
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Enhances problem-solving and coding skills in implementing core ML algorithms.
Browse courses on
ML Algorithms
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-
Select a code kata platform
-
Practice implementing various ML algorithms
-
Review and optimize code solutions
Build an ML Model Using AWS SageMaker
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Develops practical skills in using AWS SageMaker for building and deploying ML models.
Browse courses on
SageMaker
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-
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
Show steps
Test your skills and apply your understanding by practicing with AWS SageMaker.
Browse courses on
AWS SageMaker
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
Show steps
Solidify your understanding by assisting others and engaging in group discussions.
Browse courses on
Mentoring
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
Show steps
Solidify your understanding of generative AI by writing about an application in this field.
Browse courses on
Generative AI
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
Practice coding in Python
Show steps
Ensure that your coding skills are up to date to facilitate learning AI concepts.
Browse courses on
Python
Show steps
- Complete coding exercises on platforms like HackerRank or LeetCode
- Build a small coding project using Python
Review mathematics for AI
Show steps
Strengthen your understanding of the mathematical concepts underlying AI.
Browse courses on
Mathematics
Show steps
- Review linear algebra and calculus
- Practice solving math problems related to AI
Read 'Artificial Intelligence: A Modern Approach'
Show steps
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
Review Python basics
Show steps
Start by solidifying your understanding of Python. This activity will ensure that you have the proper foundation to build on during the course.
Browse courses on
Python
Show steps
- Complete Codecademy's Python 3 course
- Solve practice problems on LeetCode or HackerRank
AWS AI/ML Immersion Day
Show steps
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
Show steps
Exercise your logical thinking and problem-solving skills through AI-related puzzles and challenges.
Browse courses on
Problem Solving
Show steps
- Attempt puzzles from Kaggle or AI competitions
- Solve challenges from AI research papers
Code Kata on Fundamental ML Algorithms
Show steps
Enhances problem-solving and coding skills in implementing core ML algorithms.
Browse courses on
ML Algorithms
Show steps
- Select a code kata platform
- Practice implementing various ML algorithms
- Review and optimize code solutions
Build an ML Model Using AWS SageMaker
Show steps
Develops practical skills in using AWS SageMaker for building and deploying ML models.
Browse courses on
SageMaker
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
Show steps
Test your skills and apply your understanding by practicing with AWS SageMaker.
Browse courses on
AWS SageMaker
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
Show steps
Solidify your understanding by assisting others and engaging in group discussions.
Browse courses on
Mentoring
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
Show steps
Solidify your understanding of generative AI by writing about an application in this field.
Browse courses on
Generative AI
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
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