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Matthew Renze
In this course, you will learn about all of the modern data-driven AI tools now available to software developers and IT professionals.
In today's technical landscape, adding AI to your applications requires just a few lines of code, or in many cases, no code at all. Unfortunately, most software developers and IT professionals have not yet learned how to leverage these new AI tools and techniques. In this course, The AI Developer’s Toolkit, you’ll learn about all of the modern data-driven AI tools now available to software developers and IT professionals.
Read more
In this course, you will learn about all of the modern data-driven AI tools now available to software developers and IT professionals.
In today's technical landscape, adding AI to your applications requires just a few lines of code, or in many cases, no code at all. Unfortunately, most software developers and IT professionals have not yet learned how to leverage these new AI tools and techniques. In this course, The AI Developer’s Toolkit, you’ll learn about all of the modern data-driven AI tools now available to software developers and IT professionals.
Read more
In this course, you will learn about all of the modern data-driven AI tools now available to software developers and IT professionals.
In today's technical landscape, adding AI to your applications requires just a few lines of code, or in many cases, no code at all. Unfortunately, most software developers and IT professionals have not yet learned how to leverage these new AI tools and techniques. In this course, The AI Developer’s Toolkit, you’ll learn about all of the modern data-driven AI tools now available to software developers and IT professionals.
First, you’ll learn about AI tools for analyzing and synthesizing tables of data, text, audio, images, and video. Next, you’ll explore how this will help you to generate ideas for how to incorporate AI into your own products and services. Finally, you'll discover several short demos of easy-to-use AI tools from Microsoft, Google, and Amazon.
By the end of this course, you’ll understand the overall landscape of AI tools that you can add into your own products and services.
Register for this course and see more details by visiting:
OpenCourser.com/course/8l6s0h/the
What's inside
Syllabus
Course Overview
Introduction
AI for Tables
AI for Text
Read more
Syllabus
Course Overview
Introduction
AI for Tables
AI for Text
Read more
AI for Audio
AI for Images
AI for Video
AI for Applications
AI for Systems
Conclusion
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches modern data-driven AI tools used by professionals in the field
Introduces quick and easy addition of AI features to applications
Matthew Renze are its instructors
Provides short demos of easy-to-use AI tools from industry leaders like Microsoft, Google, and Amazon
Develops skills for analyzing and synthesizing tables of data, text, audio, images, and video
Generates ideas for incorporating AI into products and services
Save this course
Save The AI Developer’s Toolkit to your list so you can find it easily later:
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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 AI Developer’s Toolkit with these
activities:
Organize Course Materials
Show steps
Preparing and organizing your notes, assignments, quizzes, and study materials will help you remember what you're studying throughout this course, making it easier to put what you learn into practice.
Show steps
-
Review and organize your notes.
-
Review and group assignments you have completed.
-
Review and categorize previous quizzes, if available.
-
Go through lecture slides or reference materials to fill in any gaps in your notes.
-
Consider color-coding or using highlighters to categorize your materials.
Work on practice problems on coding platforms
Show steps
Working on coding problems will help you develop your problem-solving skills and apply the concepts you're learning in this course.
Browse courses on
Coding Challenges
Show steps
-
Join a coding platform like LeetCode or CodeChef.
-
Find practice problems in the areas you're studying.
-
Attempt to solve the problems on your own.
-
Review solutions and learn from your mistakes.
Contribute to open source AI projects
Show steps
Contributing to open source AI projects will give you hands-on experience with real-world AI applications and connect you with other AI enthusiasts.
Show steps
-
Find open source AI projects that you're interested in.
-
Review the project's documentation and codebase.
-
Identify areas where you can contribute.
-
Make a pull request or submit a bug report.
-
Collaborate with other contributors on the project.
One other activity
Expand to see all activities and additional details
Show all four activities
Build an AI project using the skills you've learned
Show steps
Building an AI project is the best way to test your skills and knowledge, and to apply what you've learned in this course to a real-world problem.
Show steps
-
Identify a problem that you want to solve using AI.
-
Choose the right AI tools and techniques for the job.
-
Design and implement your AI solution.
-
Evaluate the performance of your AI solution.
-
Deploy your AI solution and monitor its performance.
Organize Course Materials
Show steps
Preparing and organizing your notes, assignments, quizzes, and study materials will help you remember what you're studying throughout this course, making it easier to put what you learn into practice.
Show steps
Show steps
Show steps
- Review and organize your notes.
- Review and group assignments you have completed.
- Review and categorize previous quizzes, if available.
- Go through lecture slides or reference materials to fill in any gaps in your notes.
- Consider color-coding or using highlighters to categorize your materials.
Work on practice problems on coding platforms
Show steps
Working on coding problems will help you develop your problem-solving skills and apply the concepts you're learning in this course.
Browse courses on
Coding Challenges
Show steps
Show steps
Show steps
- Join a coding platform like LeetCode or CodeChef.
- Find practice problems in the areas you're studying.
- Attempt to solve the problems on your own.
- Review solutions and learn from your mistakes.
Contribute to open source AI projects
Show steps
Contributing to open source AI projects will give you hands-on experience with real-world AI applications and connect you with other AI enthusiasts.
Show steps
Show steps
Show steps
- Find open source AI projects that you're interested in.
- Review the project's documentation and codebase.
- Identify areas where you can contribute.
- Make a pull request or submit a bug report.
- Collaborate with other contributors on the project.
One other activity
Expand to see all activities and additional details
Show all four activities
Build an AI project using the skills you've learned
Show steps
Building an AI project is the best way to test your skills and knowledge, and to apply what you've learned in this course to a real-world problem.
Show steps
Show steps
Show steps
- Identify a problem that you want to solve using AI.
- Choose the right AI tools and techniques for the job.
- Design and implement your AI solution.
- Evaluate the performance of your AI solution.
- Deploy your AI solution and monitor its performance.
Career center
Learners who complete The AI Developer’s Toolkit will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
The AI Developer's Toolkit offers significant benefits to those seeking a career in Machine Learning Engineering. The course will provide you with a solid foundation in the field of AI, along with the practical skills necessary to design, develop, and deploy machine learning models. You will learn the use of machine learning algorithms, the techniques for data analysis and feature engineering, and how to integrate machine learning models into real-world applications. Overall, the course will significantly enhance your ability to succeed as a Machine Learning Engineer.
Data Scientist
Data Scientist
The AI Developer's Toolkit is a valuable resource for those seeking a career as a Data Scientist. The course provides a comprehensive overview of AI tools and techniques, with a specific focus on data analysis and synthesis. You will learn how to apply AI to analyze tables of data, text, audio, images, and video. This knowledge will be critical in your role as a Data Scientist, as you will need to use data to make informed decisions and solve complex problems. Overall, this course will provide you with a strong foundation for a successful career in Data Science.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
The AI Developer's Toolkit provides foundational skills and knowledge to advance in the role of Artificial Intelligence Engineer. As someone who will need to create and maintain AI systems and solutions, this course will improve your ability to design, develop, and deploy AI models. You will learn about using data to train and evaluate models, as well as how to integrate AI into existing systems. Overall, this is a highly impactful course for advancing a career in AI engineering.
Data Analyst
Data Analyst
The AI Developer's Toolkit is a valuable resource for Data Analysts who want to learn more about AI and its potential applications. The course will provide you with a comprehensive overview of AI tools and techniques, and you will learn how to use AI to analyze data more effectively. By completing this course, you will gain a competitive advantage in the field of data analysis and be able to extract more valuable insights from your data.
IT Professional
IT Professional
The AI Developer's Toolkit is a highly recommended course for those looking to advance their career as an IT Professional. The course will equip you with the necessary knowledge and skills to leverage AI in your daily work. You will learn how to use AI to automate tasks, improve efficiency, and make better decisions. The course covers a wide range of topics, including AI for data analysis, text analysis, and image recognition. This knowledge will be invaluable to you as you seek to advance your career in IT.
Researcher
Researcher
The AI Developer's Toolkit can be a valuable resource for Researchers who want to learn more about AI and its potential applications. The course will provide you with a comprehensive overview of AI tools and techniques, and you will learn how to use AI to conduct research more effectively. By completing this course, you will gain a competitive advantage in the field of research and be able to make more groundbreaking discoveries.
Consultant
Consultant
For those seeking a career as a Consultant, The AI Developer's Toolkit can provide valuable knowledge and skills. As a Consultant, you will need to be able to advise clients on how to use AI to improve their businesses. This course will provide you with a comprehensive overview of AI tools and techniques, and you will learn how to apply AI to a variety of business problems. By completing this course, you will be able to provide your clients with the insights they need to make informed decisions about AI.
Educator
Educator
The AI Developer's Toolkit can be a valuable resource for Educators who want to learn more about AI and its potential applications in the classroom. The course will provide you with a comprehensive overview of AI tools and techniques, and you will learn how to use AI to create more engaging and effective learning experiences for your students. By completing this course, you will gain a competitive advantage in the field of education and be able to prepare your students for the future of work.
Software Engineer
Software Engineer
If you wish to become a Software Engineer, The AI Developer's Toolkit will provide meaningful benefits. In this role, you will be responsible for designing, developing, and maintaining software applications. This course will provide you with the skills necessary to incorporate AI into your software applications, which can significantly enhance their functionality and value. You will learn about using AI for tasks such as data analysis, text analysis, and image recognition. Overall, this course can help you to become a more well-rounded and effective Software Engineer.
Entrepreneur
Entrepreneur
The AI Developer's Toolkit can be a valuable resource for Entrepreneurs who want to learn more about AI and its potential applications. The course will provide you with a comprehensive overview of AI tools and techniques, and you will learn how to use AI to create new products and services. By completing this course, you will gain a competitive advantage in the world of business and be able to develop more innovative and successful products and services.
Business Analyst
Business Analyst
As a Business Analyst, you will be responsible for analyzing business needs and developing solutions to improve efficiency and productivity. The AI Developer's Toolkit can provide you with the skills and knowledge necessary to incorporate AI into your work. You will learn how to use AI to analyze data, identify trends, and make recommendations. This knowledge will be invaluable to you as you seek to advance your career as a Business Analyst.
Policymaker
Policymaker
The AI Developer's Toolkit can be a valuable resource for Policymakers who want to learn more about AI and its potential impact on society. The course will provide you with a comprehensive overview of AI tools and techniques, and you will learn how to develop and implement policies that will govern the use of AI. By completing this course, you will gain a competitive advantage in the field of policymaking and be able to shape the future of AI in a way that benefits society.
Technical Writer
Technical Writer
The AI Developer's Toolkit can be a valuable resource for Technical Writers who want to learn more about AI and its potential applications. The course will provide you with a comprehensive overview of AI tools and techniques, and you will learn how to write clear and concise documentation about AI systems. By completing this course, you will gain a competitive advantage in the field of technical writing and be able to help others understand the complex world of AI.
Product Manager
Product Manager
The AI Developer's Toolkit is a valuable resource for Product Managers who want to learn more about AI and its potential applications. The course will provide you with a comprehensive overview of AI tools and techniques, and you will learn how to use AI to improve the design, development, and marketing of your products. By completing this course, you will gain a competitive advantage in the field of product management and be able to create more innovative and successful products.
Salesperson
Salesperson
The AI Developer's Toolkit can be a valuable resource for Salespeople who want to learn more about AI and its potential applications. The course will provide you with a comprehensive overview of AI tools and techniques, and you will learn how to use AI to improve your sales process. By completing this course, you will gain a competitive advantage in the field of sales and be able to close more deals.
For more career information including salaries, visit:
OpenCourser.com/course/8l6s0h/the
Reading list
We've selected eight 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 AI Developer’s Toolkit.
Introduces deep learning concepts and techniques using the Fastai library, making it accessible to developers with limited AI experience.
Practical guide to machine learning, covering a wide range of topics and providing hands-on exercises.
Provides a hands-on introduction to machine learning using popular libraries such as Scikit-Learn, Keras, and TensorFlow.
Provides a comprehensive overview of machine learning algorithms and techniques using Python.
Save
This textbook comprehensive reference on deep learning, covering the latest research and developments in the field.
Provides a practical introduction to machine learning for non-technical readers, focusing on the tools and techniques used by hackers.
Provides a practical introduction to machine learning using the R programming language, covering a wide range of topics and providing exercises.
Practical guide to deep learning using the Keras library, providing hands-on exercises and examples.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/8l6s0h/the
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Time
104 hours
Level
Introductory
Via
Pluralsight
Instructor
Matthew Renze
Language
English
Good to know
Teaches modern data-driven AI tools used by professionals in the field
Introduces quick and easy addition of AI features to applications
Matthew Renze are its instructors
Provides short demos of easy-to-use AI tools from industry leaders like Microsoft, Google, and Amazon
Develops skills for analyzing and synthesizing tables of data, text, audio, images, and video
Generates ideas for incorporating AI into products and services
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