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Discovering Artificial Intelligence and Machine Learning

Take our Machine Learning and Artificial Intelligence Basics course and learn foundational ML and AI concepts including how they work and how to use them to solve problems.

What's inside

Syllabus

Discover Artificial Intelligence and Machine Learning, learn about how they work, and find out how they are used to solve problems in new ways that were never possible in the past.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds a strong foundation for understanding the role of Artificial Intelligence and Machine Learning in solving problems
Provides a foundational overview of Artificial Intelligence and Machine Learning for beginners
Explores the practical applications of Artificial Intelligence and Machine Learning across various industries
Taught by industry experts, offering real-world insights and practical knowledge
Facilitates networking and collaboration with fellow learners through online discussions and forums
Provides hands-on exercises and projects to reinforce learning and encourage practical application

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Activities

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Career center

Learners who complete Discovering Artificial Intelligence and Machine Learning will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use their knowledge of AI, machine learning, and statistics to identify data patterns, solve business problems, and forecast future trends. By taking this course, you can refine your skills with both AI and machine learning. These skills are foundational to the job.
Machine Learning Engineer
Machine Learning Engineers build and maintain the machine learning models that power AI systems. The concepts you will study in this course, such as AI and machine learning basics, are essential for Machine Learning Engineers.
Artificial Intelligence Engineer
AI Engineers are responsible for the design and development of AI systems. This course gives you a solid introduction to the concepts of AI and machine learning. This knowledge is highly relevant to an AI Engineer's day-to-day work.
Data Analyst
Data Analysts use data to identify trends and patterns. They use these insights to help businesses make better decisions. This course will give you a good foundation in the basics of AI, machine learning, and how they are used in the real world. These skills are vital for a Data Analyst.
Software Engineer
Software Engineers design, develop, and maintain software systems. AI and machine learning are increasingly being used in software development. This course will help you build a foundation in these technologies, which will make you a more valuable Software Engineer.
Computer Scientist
Computer Scientists research and develop new computing technologies. AI and machine learning are two of the most important areas of computer science research today. This course will help you build a foundation in these technologies, which will make you a more competitive Computer Scientist.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. AI and machine learning are increasingly being used in quantitative analysis. This course will help you build a foundation in these technologies, which will make you a more valuable Quantitative Analyst.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve business problems. AI and machine learning are increasingly being used in operations research. This course will help you build a foundation in these technologies, which will make you a more effective Operations Research Analyst.
Business Analyst
Business Analysts help businesses understand their data and make better decisions. AI and machine learning are increasingly being used in business analysis. This course will help you build a foundation in these technologies, which will make you a more valuable Business Analyst.
Product Manager
Product Managers are responsible for the development and launch of new products. AI and machine learning are increasingly being used in product development. This course will help you build a foundation in these technologies, which will make you a more effective Product Manager.
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. AI and machine learning are increasingly being used in marketing. This course will help you build a foundation in these technologies, which will make you a more effective Marketing Manager.
Sales Manager
Sales Managers are responsible for leading and motivating sales teams. AI and machine learning are increasingly being used in sales. This course will help you build a foundation in these technologies, which will make you a more effective Sales Manager.
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products or services. AI and machine learning are increasingly being used in customer success. This course will help you build a foundation in these technologies, which will make you a more effective Customer Success Manager.
Project Manager
Project Managers are responsible for planning and executing projects. AI and machine learning are increasingly being used in project management. This course will help you build a foundation in these technologies, which will make you a more effective Project Manager.
Financial Analyst
Financial Analysts use financial data to make investment recommendations. AI and machine learning are increasingly being used in financial analysis. This course will may help you build a foundation in these technologies, which will make you a more effective Financial Analyst.

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Discovering Artificial Intelligence and Machine Learning.
This textbook provides a comprehensive overview of the mathematical foundations of machine learning.
Provides a comprehensive overview of reinforcement learning, with a focus on the underlying mathematical concepts.
This textbook provides a comprehensive overview of deep learning, covering both the theoretical foundations and practical applications.
Provides a comprehensive overview of deep learning using Python, with a focus on practical applications.
Provides a comprehensive overview of generative adversarial networks, with a focus on practical applications.
Provides a comprehensive overview of computer vision, with a focus on practical applications.
Provides a comprehensive overview of speech and language processing, with a focus on practical applications.
Provides a comprehensive overview of natural language processing using Python, with a focus on practical applications.
This textbook provides a gentle introduction to machine learning using Python.

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