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Catherine Mora, Anna R, and Megan Hughes

Week 1: Introduction to Artificial Intelligence Week 2: Artificial Intelligence in Industry Week 3: Adapting your skills to work with Artificial Intelligence Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This technology course is for anyone with an interest in AI who is looking to improve their entrepreneurial skills, enter the workplace, or change careers. Interested in growing your digital skills more widely? Discover more Digital Skills courses from Accenture .

Topics Covered

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Week 1: Introduction to Artificial Intelligence Week 2: Artificial Intelligence in Industry Week 3: Adapting your skills to work with Artificial Intelligence Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This technology course is for anyone with an interest in AI who is looking to improve their entrepreneurial skills, enter the workplace, or change careers. Interested in growing your digital skills more widely? Discover more Digital Skills courses from Accenture .

Topics Covered

  • What is Artificial Intelligence and where did it come from?
  • AI in Action
  • What does this mean for me?
  • Impact of AI on Individuals
  • What does this mean for me?
  • How has the relationship changed between AI and Humans?
  • Imagining the Future

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A comprehensive textbook that provides a broad overview of the field, covering topics such as problem-solving, learning, machine learning, and natural language processing. Suitable for both beginners and advanced learners.
A highly cited and influential book that focuses on deep learning, a subfield of AI concerned with constructing models for complex data. Covers theoretical concepts, popular algorithms, and practical applications.
A textbook that presents AI from a computational perspective, covering topics such as agents, knowledge representation, reasoning, and planning. Suitable for readers with a background in computer science or mathematics.
A classic textbook on reinforcement learning, a subfield of AI concerned with learning from interaction with the environment. Covers both theoretical concepts and practical algorithms, with a focus on real-world applications.
A practical guide to natural language processing (NLP) using Python, covering topics such as text classification, sentiment analysis, and machine translation. Suitable for beginners with some programming experience.
A comprehensive textbook that covers probabilistic graphical models (PGMs), a powerful tool for representing and reasoning about complex systems. Suitable for advanced learners with a background in probability and statistics.
A short but powerful book that explores the potential benefits and risks of AI, as well as the ethical dilemmas that need to be addressed as AI becomes more advanced.
A comprehensive German-language textbook that provides a broad overview of AI, covering topics such as search, knowledge representation, and machine learning. Suitable for both beginners and advanced learners.
A French-language textbook that focuses on machine learning, a subfield of AI. Covers topics such as supervised learning, unsupervised learning, and deep learning. Suitable for beginners with some programming experience.

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