After successfully completing and consequently earning a certificate for the individual chapters, you can claim your ‘Digital Skills for the Artificial Intelligence Revolution’ certificate, which includes all 8 chapters!
Claim your DS4AIR course certificate! Read More »
Course Description What are Emerging Technologies? How does Artificial Intelligence work with different Emerging Technologies? How can Big Data and AI enhance business operations? How does AI work on the Cloud and Blockchain? By the end of the chapter, participants will be able to: It is estimated that you complete this chapter in 90 minutes.
Chapter 4: AI and Emerging Technologies Read More »
Course Description What are the applications of Artificial Intelligence in Emerging Technologies and Human-Machine Interactions? In which sectors is AI being adopted? How is AI enhancing the field of Science? By the end of the chapter, participants will be able to: It is estimated that you complete this chapter in 90 minutes. Certification In order
Chapter 2: Applications of Artificial Intelligence Read More »
Course Description How is AI shaping the future of work? Why are humans key to digital transformation? What is transformational leadership and what does leading with AI entail? Why are digital skills the future of work? By the end of the chapter, participants will be able to: It is estimated that you complete this chapter
Chapter 8: The Future of Work in the AI Revolution Read More »
Course Description What is Digital Transformation? What are the phases in a Digital Transformation process and strategy? Which are the key organisational characteristics for AI integration in Digital Transformation? By the end of the chapter, participants will be able to: It is estimated that you complete this chapter in 90 minutes. Certification In order to
Chapter 5: Digital Transformation Read More »
Course Description What is Machine Learning? What is Classification? What are Decision Trees? What are different types of learning in Machine Learning? What are Machine Learning applications? By the end of the chapter, participants will be able to: It is estimated that you complete this chapter in 90 minutes.. Certification In order to be awarded
Chapter 6: Machine Learning in Practice Read More »
Course Description What are Neural Networks? What is Deep Learning? What are the different types of Deep Learning algorithms? What are the benefits and challenges in Deep Learning? What are Deep Learning applications? By the end of the chapter, participants will be able to: It is estimated that you complete this chapter in 90 minutes.
Chapter 7: Neural Networks and Deep Learning Read More »
Course Description What is Artificial Intelligence? What is its impact? How did it all begin? How did it evolve? How does it benefit society? What are the subfields of Artificial Intelligence? What are their ethical implications? By the end of the chapter, participants will be able to: It is estimated that you complete this chapter
Chapter 1: Introduction to Artificial Intelligence Read More »
Course Description How do organisations become ready to accept Artificial Intelligence? What are the foundations, infrastructure and interfaces required? How can management systems influence the embedding of AI practices? By the end of the chapter, participants will be able to: It is estimated that you complete this chapter in 90 minutes. Certification In order to
Chapter 3: ArtificiaI Intelligence Readiness Read More »
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