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The Reality of Developing an Artificial World (plus Q&A with Angie Jones)
#TechSkillsDay
#TechSkillsDay
Speakers:
- Angie Jones (Vice President of Global Developer Relations, TBD @ Block)
- Simon Allardice (Q&A Moderator, Creative Director & Principal Author, Pluralsight)
Read more
Speakers: - Angie Jones (Vice President of Global Developer Relations, TBD @ Block) - Simon Allardice (Q&A Moderator, Creative Director & Principal Author, Pluralsight)
Read more
Speakers: - Angie Jones (Vice President of Global Developer Relations, TBD @ Block) - Simon Allardice (Q&A Moderator, Creative Director & Principal Author, Pluralsight)
Major advances have been made in developing applications that utilize some form of AI, and software developers are now using tools such as GitHub Copilot and ChatGPT to help them code their projects. However, there's not nearly as much consideration given to how to test these applications. Angie will share her experiences with testing today's cutting-edge, innovative applications that utilize AI and the challenges of ensuring that they actually work the way we intend them to.
Register for this course and see more details by visiting:
OpenCourser.com/course/07vxq2/the
What's inside
Syllabus
The reality of developing an artificial world (plus Q&A with Angie Jones)
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores rapidly-developing AI technologies that are becoming standard in software development
Taught by Angie Jones, Vice President of Global Developer Relations, TBD @ Block who has extensive experience in testing innovative AI applications
Examines challenges of testing AI applications, which is highly relevant to developers working with AI
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Activities
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The Reality of Developing an Artificial World (plus Q&A with Angie Jones).
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Career center
Learners who complete The Reality of Developing an Artificial World (plus Q&A with Angie Jones) will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain systems that can learn from data. This course can help Machine Learning Engineers understand the challenges of testing AI-powered applications and ensure that these applications work as intended.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. This course can help Data Scientists understand the challenges of testing AI-powered applications and ensure that these applications work as intended.
Software Developer
Software Developer
Software Developers design, build, and maintain software applications. This course can help Software Developers understand the challenges of testing AI-powered applications and ensure that these applications work as intended.
AI Researcher
AI Researcher
AI Researchers develop new AI algorithms and techniques. This course can help AI Researchers understand the challenges of testing AI-powered applications and ensure that these applications work as intended.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing solutions. This course can help Cloud Architects understand the challenges of testing AI-powered applications and ensure that these applications are deployed and managed in the cloud.
Project Manager
Project Manager
Project Managers manage the development and launch of software applications. This course can help Project Managers understand the challenges of testing AI-powered applications and ensure that these applications are delivered on time and within budget.
Technical Writer
Technical Writer
Technical Writers create documentation for software applications. This course can help Technical Writers understand the challenges of testing AI-powered applications and ensure that documentation is accurate and easy to understand.
UX Designer
UX Designer
UX Designers design the user experience for software applications. This course can help UX Designers understand the challenges of testing AI-powered applications and ensure that these applications are easy to use and meet the needs of users.
Security Analyst
Security Analyst
Security Analysts protect software applications from security threats. This course can help Security Analysts understand the challenges of testing AI-powered applications and ensure that these applications are secure from attacks.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test software applications to ensure that they meet the requirements of users. This course can help Quality Assurance Analysts understand the challenges of testing AI-powered applications and ensure that these applications work as intended.
Salesforce Developer
Salesforce Developer
Salesforce Developers build and maintain Salesforce applications. This course can help Salesforce Developers understand the challenges of testing AI-powered applications and ensure that these applications work as intended.
DevOps Engineer
DevOps Engineer
DevOps Engineers manage the development and operation of software applications. This course can help DevOps Engineers understand the challenges of testing AI-powered applications and ensure that these applications are deployed and maintained efficiently.
Business Analyst
Business Analyst
Business Analysts help businesses understand their needs and develop solutions to meet those needs. This course can help Business Analysts understand the challenges of testing AI-powered applications and ensure that these applications meet the needs of businesses.
Data Analyst
Data Analyst
Data Analysts analyze data to help businesses make better decisions. This course can help Data Analysts understand the challenges of testing AI-powered applications and ensure that these applications provide accurate insights.
Product Manager
Product Manager
Product Managers manage the development and launch of new products. This course can help Product Managers understand the challenges of testing AI-powered applications and ensure that these applications meet the needs of users.
For more career information including salaries, visit:
OpenCourser.com/course/07vxq2/the
Reading list
We've selected 18 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
The Reality of Developing an Artificial World (plus Q&A with Angie Jones).
Save
A comprehensive textbook on deep learning, covering the latest advancements and techniques in the field. A valuable reference for those interested in developing AI applications.
A practical guide to implementing machine learning algorithms using popular Python libraries. Provides hands-on experience with real-world datasets.
A comprehensive textbook on statistical learning, covering a wide range of techniques and applications. Provides a solid foundation in the mathematical and statistical principles underlying AI.
Save
An accessible introduction to AI, explaining the fundamental concepts and principles behind the technology. Provides a good overview for those new to the field.
A comprehensive textbook on machine learning from a probabilistic perspective. Provides a strong theoretical foundation for understanding AI algorithms.
A classic textbook on reinforcement learning, covering the fundamental principles and algorithms. Provides a solid foundation for understanding how AI systems can learn to make decisions in complex environments.
A comprehensive textbook on pattern recognition and machine learning, covering a wide range of topics. Provides a strong theoretical foundation for understanding AI algorithms.
Save
A non-technical overview of the history and potential of AI. Provides a good overview for those interested in the broader implications of AI.
Provides a practical guide to machine learning using R. It covers the fundamental concepts, algorithms, and applications of machine learning, and valuable resource for students and professionals who want to gain a deeper understanding of the field.
Save
A thought-provoking exploration of the potential benefits and risks of AI. Provides a good overview for those interested in the broader societal implications of AI.
Save
A thought-provoking exploration of the potential risks and benefits of AI. Provides a good overview for those interested in the broader societal implications of AI.
Provides a practical guide to deep learning using Python. It covers the fundamental concepts, algorithms, and applications of deep learning, and valuable resource for students and professionals who want to gain a deeper understanding of the field.
Save
A thought-provoking exploration of the potential future of humanity in the age of AI. Provides a good overview for those interested in the broader societal implications of AI.
An accessible overview of the potential benefits and risks of AI. Provides a good overview for those interested in the broader societal implications of AI.
Provides a practical guide to machine learning. It covers the fundamental concepts, algorithms, and applications of machine learning, and valuable resource for students and professionals who want to gain a deeper understanding of the field.
Provides a gentle introduction to machine learning. It covers the fundamental concepts, algorithms, and applications of machine learning, and valuable resource for students and professionals who want to gain a deeper understanding of the field.
Provides a gentle introduction to machine learning. It covers the fundamental concepts, algorithms, and applications of machine learning, and valuable resource for students and professionals who want to gain a deeper understanding of the field.
Provides a practical guide to machine learning. It covers the fundamental concepts, algorithms, and applications of machine learning, and valuable resource for students and professionals who want to gain a deeper understanding of the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/07vxq2/the
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Time
48 hours
Level
Introductory
Via
Pluralsight
Instructor
#TechSkillsDay
Language
English
Good to know
Explores rapidly-developing AI technologies that are becoming standard in software development
Taught by Angie Jones, Vice President of Global Developer Relations, TBD @ Block who has extensive experience in testing innovative AI applications
Examines challenges of testing AI applications, which is highly relevant to developers working with AI
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