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The Reality of Developing an Artificial World (plus Q&A with Angie Jones)

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.

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What's inside

Syllabus

The reality of developing an artificial world (plus Q&A with Angie Jones)

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

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in The Reality of Developing an Artificial World (plus Q&A with Angie Jones) with these activities:

Gather course materials

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Acquiring and organizing the necessary course materials will prepare you to fully engage with the course content.

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Review the course syllabus and identify required materials.
Acquire textbooks, online resources, and any necessary software.
Create a dedicated study space and organize materials for easy access.

Review software testing fundamentals

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Refreshing your knowledge of software testing concepts will provide a stronger foundation for understanding AI testing.

Browse courses on Software Testing

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Review notes or textbooks on general software testing principles.
Complete practice questions or exercises on software testing.

Attend a Local Testing Meetup

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Connect with professionals in the testing field and gain insights into current industry trends and best practices.

Browse courses on Networking

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Identify local testing meetups or conferences
Register and attend the event
Network with other attendees and speakers
Stay informed about upcoming events

Nine other activities

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Complete online tutorials on AI testing

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Structured tutorials will provide a solid foundation in AI testing principles and practices.

Browse courses on AI Development

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Identify reputable online resources offering AI testing tutorials.
Select tutorials that cover the core concepts and techniques.
Follow the tutorials step-by-step, practicing and implementing the concepts.

Explore ChatGPT for Test Case Generation

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Expand your knowledge of cutting-edge AI tools by exploring ChatGPT for generating test cases.

Browse courses on ChatGPT

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Familiarize yourself with ChatGPT's capabilities
Provide ChatGPT with clear and specific requirements
Evaluate the generated test cases for quality and relevance

Practice testing AI applications

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Hands-on practice will enhance your understanding of AI testing concepts and techniques.

Browse courses on AI Development

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Set up a testing environment for your AI application.
Design and execute test cases to evaluate different aspects of the application.
Analyze test results and identify areas for improvement.

Code Review with AI Assistance

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Enhance your code quality and learn from AI suggestions by conducting code reviews with AI assistance.

Browse courses on AI-Assisted Coding

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Choose a codebase or project
Select an AI-powered code review tool
Run the code review and analyze the results
Implement recommended improvements

Attend a seminar on AI testing

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Engaging with experts in the field will broaden your perspectives and enhance your learning.

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Research upcoming seminars on AI testing.
Register for the seminar and attend the session.
Actively participate in discussions and take notes.

Participate in a Hands-on Testing Workshop

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Enhance your practical skills and learn from experts by participating in a hands-on testing workshop.

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Research and identify relevant workshops
Register and attend the workshop
Actively participate in exercises and discussions
Apply the knowledge gained to your own projects

Participate in an AI hackathon

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Practical application of AI testing skills in a competitive environment will foster deeper understanding.

Browse courses on AI Development

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Find an AI hackathon that aligns with your interests.
Form a team or collaborate with others to develop an AI solution.
Work on the project, applying testing best practices.
Submit your solution and present it to the judges.

Implement a Test Case

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Reinforce your understanding of testing best practices and gain hands-on experience in implementing test cases.

Browse courses on Testing

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Select a codebase or project
Identify the functionality to be tested
Design and write test cases
Execute and evaluate test results

Design an AI-Powered Testing Framework

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Deepen your understanding of AI in testing by designing and implementing an AI-powered testing framework.

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Research and explore existing AI-powered testing tools
Design the architecture and workflow of your framework
Develop and implement the framework using appropriate technologies
Test and evaluate the framework's effectiveness

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 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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Software Developer

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.

See salaries and explore the career path for AI Researcher

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.

See salaries and explore the career path for Cloud Architect

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.

See salaries and explore the career path for Project Manager

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.

See salaries and explore the career path for Technical Writer

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.

See salaries and explore the career path for UX Designer

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.

See salaries and explore the career path for Security 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.

See salaries and explore the career path for Quality Assurance Analyst

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.

See salaries and explore the career path for Salesforce Developer

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.

See salaries and explore the career path for DevOps Engineer

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.

See salaries and explore the career path for Business 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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Product Manager

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).

Deep Learning

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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.

The Reality of Developing an Artificial World (plus Q&A with Angie Jones)

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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