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Intel
Learn about customers having success with Intel AI
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What's inside
Syllabus
Intel AI Win Recipes
Learn about customers having success with Intel AI
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for audiences of all experience levels
May be of interest to professionals who work with Intel AI
Save this course
Save Intel® AI Win Recipes to your list so you can find it easily later:
Save
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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 Intel® AI Win Recipes with these
activities:
Review basic AI concepts and techniques
Show steps
Ensures a strong foundation for understanding Intel AI technologies
Browse courses on
AI Concepts
Show steps
-
Review textbooks and online resources on AI concepts
-
Complete exercises and practice problems on AI techniques
Review basic Python syntax and data types
Show steps
Refreshes critical Python knowledge for success in this course
Browse courses on
Python Syntax
Show steps
-
Review documentation and tutorials on Python syntax
-
Complete interactive exercises on Python data types
Solve practice problems on Intel AI algorithms
Show steps
Provides opportunities to apply and reinforce AI concepts
Show steps
-
Find practice problems on Intel AI algorithms
-
Solve practice problems
-
Review solutions and identify areas for improvement
One other activity
Expand to see all activities and additional details
Show all four activities
Volunteer at an organization focused on AI applications
Show steps
Offers practical experience and exposure to real-world AI projects
Browse courses on
AI Applications
Show steps
-
Find volunteer opportunities at AI organizations
-
Apply for and participate in a volunteer role
Review basic AI concepts and techniques
Show steps
Ensures a strong foundation for understanding Intel AI technologies
Browse courses on
AI Concepts
Show steps
Show steps
Show steps
- Review textbooks and online resources on AI concepts
- Complete exercises and practice problems on AI techniques
Review basic Python syntax and data types
Show steps
Refreshes critical Python knowledge for success in this course
Browse courses on
Python Syntax
Show steps
Show steps
Show steps
- Review documentation and tutorials on Python syntax
- Complete interactive exercises on Python data types
Solve practice problems on Intel AI algorithms
Show steps
Provides opportunities to apply and reinforce AI concepts
Show steps
Show steps
Show steps
- Find practice problems on Intel AI algorithms
- Solve practice problems
- Review solutions and identify areas for improvement
One other activity
Expand to see all activities and additional details
Show all four activities
Volunteer at an organization focused on AI applications
Show steps
Offers practical experience and exposure to real-world AI projects
Browse courses on
AI Applications
Show steps
Show steps
Show steps
- Find volunteer opportunities at AI organizations
- Apply for and participate in a volunteer role
Career center
Learners who complete Intel® AI Win Recipes will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Design, develop, and maintain machine learning models. Intel® AI Win Recipes can help you build a foundation in AI and machine learning, and learn about the latest techniques and technologies.
Data Scientist
Data Scientist
Develop and implement machine learning algorithms to solve complex business problems. Intel® AI Win Recipes can help you learn about the latest AI technologies and how to apply them to real-world problems.
Computer Vision Engineer
Computer Vision Engineer
Develop and implement computer vision algorithms to solve real-world problems. Intel® AI Win Recipes can help you build a foundation in AI and computer vision, and learn about the latest techniques and technologies.
Data Analyst
Data Analyst
Analyze large datasets to identify trends, patterns, and anomalies. Intel® AI Win Recipes can help you build a foundation in artificial intelligence and machine learning, which are essential skills for data analysts.
Natural Language Processing Engineer
Natural Language Processing Engineer
Develop and implement natural language processing algorithms to solve real-world problems. Intel® AI Win Recipes can help you build a foundation in AI and natural language processing, and learn about the latest techniques and technologies.
Data Engineer
Data Engineer
Design and manage data pipelines to support data analysis and machine learning. Intel® AI Win Recipes can help you build a foundation in AI and data engineering, and learn about the latest techniques and technologies.
Software Engineer
Software Engineer
Develop and maintain software applications. Intel® AI Win Recipes can help you learn about the latest AI technologies and how to integrate them into software applications.
Robotics Engineer
Robotics Engineer
Design, develop, and maintain robots. Intel® AI Win Recipes can help you build a foundation in AI and robotics, and learn about the latest techniques and technologies.
Business Analyst
Business Analyst
Analyze business data to identify opportunities and solve problems. Intel® AI Win Recipes can help you build a foundation in AI and business analysis, and learn about the latest techniques and technologies.
Marketing Manager
Marketing Manager
Develop and execute marketing campaigns. Intel® AI Win Recipes can help you build a foundation in AI and marketing, and learn about the latest techniques and technologies.
Technical Writer
Technical Writer
Write technical documentation for software and hardware products. Intel® AI Win Recipes can help you build a foundation in AI and technical writing, and learn about the latest techniques and technologies.
Customer Success Manager
Customer Success Manager
Manage relationships with customers to ensure their satisfaction. Intel® AI Win Recipes can help you build a foundation in AI and customer success management, and learn about the latest techniques and technologies.
Project Manager
Project Manager
Plan, execute, and manage projects. Intel® AI Win Recipes can help you build a foundation in AI and project management, and learn about the latest techniques and technologies.
Sales Manager
Sales Manager
Develop and execute sales strategies. Intel® AI Win Recipes can help you build a foundation in AI and sales, and learn about the latest techniques and technologies.
Product Manager
Product Manager
Develop and manage products. Intel® AI Win Recipes can help you build a foundation in AI and product management, and learn about the latest techniques and technologies.
For more career information including salaries, visit:
OpenCourser.com/course/hmh6ia/intel(r)
Reading list
We've selected 11 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
Intel® AI Win Recipes.
Save
This textbook provides a comprehensive overview of data mining concepts and techniques. It covers a wide range of topics, including data preprocessing, feature selection, and clustering.
Save
This textbook provides a comprehensive overview of computer vision algorithms and applications. It covers a wide range of topics, including image formation, feature detection, and object recognition.
This textbook provides a comprehensive overview of robotics science and systems. It covers a wide range of topics, including robot kinematics, dynamics, and control.
This textbook provides a comprehensive overview of artificial intelligence from a systems perspective. It covers a wide range of topics, including knowledge representation, reasoning, and planning.
Authored by the creator of Keras, this book provides a hands-on introduction to deep learning using Python. It teaches the fundamentals of deep learning and its applications, making it a valuable resource for beginners and experienced practitioners alike.
This comprehensive textbook provides a rigorous treatment of pattern recognition and machine learning. It covers a wide range of topics, including supervised learning, unsupervised learning, and Bayesian methods.
This textbook provides a comprehensive overview of machine learning from a probabilistic perspective. It covers a wide range of topics, including supervised learning, unsupervised learning, and Bayesian methods.
Provides a comprehensive overview of deep learning for natural language processing. It covers a wide range of topics, including word embeddings, sequence models, and attention mechanisms.
This practical guide provides a comprehensive introduction to machine learning using Python and popular libraries like Scikit-Learn, Keras, and TensorFlow. It offers a solid foundation in the fundamentals of machine learning and its applications.
This classic textbook provides a comprehensive overview of statistical learning methods. It covers a wide range of topics, including linear regression, logistic regression, decision trees, and support vector machines.
This friendly and informative guide explains the basic concepts of AI, demystifies common misconceptions, and helps readers understand and apply artificial intelligence. It great jumping off point for this course.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hmh6ia/intel(r)
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Similar courses
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Level
Introductory
Via
Coursera
Institution
Intel
Instructor
Intel
Language
English
This course belongs to a
collection
called
Intel® AI Fundamentals. It's comprised of three courses:
- The Intel® AI Value
- Intel® AI Win Recipes (viewing)
- AI Essentials
Good to know
Suitable for audiences of all experience levels
May be of interest to professionals who work with Intel AI
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