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After the AI Nanodegree Program

Sebastian Thrun, Thad Starner, and Peter Norvig
Once you've completed the last project, review the information here to discover resources for you to continue learning and practicing AI.
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What's inside

Syllabus

Suggested resources to continue learning about artificial intelligence after completing the Nanodegree program.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores recommended online and offline resources for continued learning in artificial intelligence for students
Provides a thorough overview of resources for further AI learning
Best suited for individuals seeking guidance on continuing their study of artificial intelligence

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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 After the AI Nanodegree Program with these activities:
Review the Introduction to Artificial Intelligence textbook
Refreshes your understanding of AI concepts and ensures that you have a strong foundation for the course.
View Melania on Amazon
Show steps
  • Read the first three chapters of the textbook.
  • Take notes on the key concepts discussed in the chapters.
  • Complete the practice exercises at the end of each chapter.
Create a glossary or cheat sheet of key AI concepts
Provides a quick and convenient reference for important AI concepts.
Show steps
  • Identify the key concepts covered in the course.
  • Define each concept clearly and concisely.
  • Organize the concepts in a logical or alphabetical order.
Join a study group or discussion forum
Enhances your understanding of course concepts through discussion and collaboration.
Show steps
  • Find a study group or discussion forum that aligns with your interests.
  • Participate actively in discussions.
  • Share your knowledge and insights with others.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow online tutorials on specific AI topics
Provides additional practice and exposure to different aspects of AI.
Browse courses on Deep Learning
Show steps
  • Identify specific areas of AI that you want to explore further.
  • Search for reputable online tutorials on those topics.
  • Follow the tutorials step-by-step and complete any exercises or projects.
Solve AI coding challenges on platforms like LeetCode or HackerRank
Sharpens your problem-solving skills and reinforces your understanding of AI algorithms.
Browse courses on AI Algorithms
Show steps
  • Choose a platform like LeetCode or HackerRank.
  • Select coding challenges that are relevant to AI.
  • Solve the challenges and submit your solutions.
Build a small AI project
Provides hands-on experience and allows you to apply your AI skills to a real-world problem.
Show steps
  • Define the problem you want to solve.
  • Choose the appropriate AI techniques and algorithms.
  • Gather and prepare your data.
  • Train and evaluate your model.
  • Deploy your project.
Volunteer as a mentor for beginner AI learners
Reinforces your understanding of AI concepts while helping others.
Browse courses on Mentoring
Show steps
  • Find opportunities to mentor beginner AI learners.
  • Share your knowledge and expertise.
  • Provide guidance and support.

Career center

Learners who complete After the AI Nanodegree Program will develop knowledge and skills that may be useful to these careers:
Technical Support Specialist
Technical support specialists help customers with technical problems. AI is increasingly being used to improve technical support, and technical support specialists who have a strong understanding of AI are in high demand. This course provides a foundation in AI, which can help you become a successful technical support specialist.
See salaries and explore the career path for Technical Support Specialist
Artificial Intelligence Engineer
AI engineers design, develop, and maintain AI systems. They work on a variety of projects, including those that focus on machine learning, natural language processing, and computer vision. This course provides a foundation in AI, which can help you build a successful career as an AI engineer.
See salaries and explore the career path for Artificial Intelligence Engineer
Data Scientist
Data scientists use their knowledge of statistics, programming, and machine learning to extract insights from data. AI is a rapidly growing field within data science, and many data scientists are expected to work on AI projects in the future. This course provides a foundation in AI, which can help you become a successful data scientist.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
Machine learning engineers design, develop, and maintain machine learning systems. These systems are used to solve a variety of problems, including those that focus on predictive analytics, fraud detection, and image recognition. This course provides a foundation in AI, which can help you build a successful career as a machine learning engineer.
See salaries and explore the career path for Machine Learning Engineer
Software Engineer
Software engineers design, develop, and maintain software systems. AI is a rapidly growing field within software engineering, and many software engineers are expected to work on AI projects in the future. This course provides a foundation in AI, which can help you become a successful software engineer.
See salaries and explore the career path for Software Engineer
Product Manager
Product managers are responsible for the development and launch of new products. They work closely with engineers, designers, and marketers to ensure that products meet the needs of customers. AI is increasingly being used to develop new products, and product managers who have a strong understanding of AI are in high demand. This course provides a foundation in AI, which can help you become a successful product manager.
See salaries and explore the career path for Product Manager
Business Analyst
Business analysts help organizations to improve their operations and make better decisions. They use data analysis and problem-solving skills to identify and solve business problems. AI is increasingly being used to improve business processes, and business analysts who have a strong understanding of AI are in high demand. This course provides a foundation in AI, which can help you become a successful business analyst.
See salaries and explore the career path for Business Analyst
Consultant
Consultants provide advice and guidance to organizations on a variety of topics. AI is increasingly being used to solve business problems, and consultants who have a strong understanding of AI are in high demand. This course provides a foundation in AI, which can help you become a successful consultant.
See salaries and explore the career path for Consultant
Entrepreneur
Entrepreneurs start and run their own businesses. AI is increasingly being used to create new products and services, and entrepreneurs who have a strong understanding of AI are in a good position to succeed. This course provides a foundation in AI, which can help you become a successful entrepreneur.
See salaries and explore the career path for Entrepreneur
Teacher
Teachers educate students in a variety of subjects. AI is increasingly being used to improve education, and teachers who have a strong understanding of AI are in high demand. This course provides a foundation in AI, which can help you become a successful teacher.
See salaries and explore the career path for Teacher
Writer
Writers create content for a variety of purposes, including marketing, journalism, and fiction. AI is increasingly being used to generate content, and writers who have a strong understanding of AI are in high demand. This course provides a foundation in AI, which can help you become a successful writer.
See salaries and explore the career path for Writer
Marketer
Marketers develop and execute marketing campaigns to promote products and services. AI is increasingly being used to improve marketing campaigns, and marketers who have a strong understanding of AI are in high demand. This course provides a foundation in AI, which can help you become a successful marketer.
See salaries and explore the career path for Marketer
Salesperson
Salespeople sell products and services to customers. AI is increasingly being used to improve sales processes, and salespeople who have a strong understanding of AI are in high demand. This course provides a foundation in AI, which can help you become a successful salesperson.
See salaries and explore the career path for Salesperson
Customer Service Representative
Customer service representatives help customers with their questions and problems. AI is increasingly being used to improve customer service, and customer service representatives who have a strong understanding of AI are in high demand. This course provides a foundation in AI, which can help you become a successful customer service representative.
See salaries and explore the career path for Customer Service Representative
Researcher
Researchers are tasked with making discoveries in a variety of fields. Artificial intelligence research is one such field. Many researchers who work in this field hold a master's degree or PhD. Some of the information covered in this course can help build a foundation in artificial intelligence. Once you have a strong foundation, you can apply what you've learned to your own research projects.
See salaries and explore the career path for Researcher

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 After the AI Nanodegree Program.
Cover image
Deep Learning
Save
Comprehensive guide to deep learning, covering the latest advances in the field. It valuable resource for anyone who wants to learn about the theoretical foundations and practical applications of deep learning.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Reinforcement Learning, second edition
Save
Provides a comprehensive introduction to reinforcement learning, covering both the theoretical foundations and practical applications. It valuable resource for anyone who wants to learn about reinforcement learning.
Reinforcement Learning, second edition: An...
Hardcover
$$$
Reinforcement Learning, second edition: An...
Kindle Edition
$$$
Cover image
Computer Vision
Save
Provides a comprehensive overview of computer vision, covering both the theoretical foundations and practical applications. It valuable resource for anyone who wants to learn about computer vision.
Computer Vision
Paperback
Check
Computer Vision
Kindle Edition
Check
Cover image
Natural Language Processing with Python
Save
Provides a comprehensive introduction to natural language processing, covering both the theoretical foundations and practical applications. It valuable resource for anyone who wants to learn about natural language processing.
Natural Language Processing with Python: Analyzing...
Paperback
$$$
Natural Language Processing with Python: Analyzing...
Kindle Edition
$$
Cover image
Speech and Language Processing. An Introduction to...
Save
Provides a comprehensive overview of speech and language processing, covering both the theoretical foundations and practical applications. It valuable resource for anyone who wants to learn about speech and language processing.
Speech and Language Processing An Introduction to...
Paperback
$$
Cover image
Probabilistic Graphical Models
Save
Provides a comprehensive introduction to probabilistic graphical models, covering both the theoretical foundations and practical applications. It valuable resource for anyone who wants to learn about probabilistic graphical models.
Probabilistic Graphical Models: Principles and...
Hardcover
$$$$
Probabilistic Graphical Models: Principles and...
Kindle Edition
$$$
Cover image
Information Theory, Inference and Learning...
Save
Provides a comprehensive introduction to information theory, inference, and learning algorithms. It valuable resource for anyone who wants to learn about the theoretical foundations of AI.
Information Theory, Inference and Learning...
Hardcover
$$$
Cover image
Mathematics for Machine Learning
Save
Provides a comprehensive introduction to the mathematical foundations of machine learning. It valuable resource for anyone who wants to learn about the theoretical foundations of AI.
Mathematics for Machine Learning
Kindle Edition
$$
Cover image
Machine Learning for Hackers
Save
Provides a hands-on introduction to machine learning. It valuable resource for anyone who wants to learn about the practical aspects of AI.
Machine Learning for Hackers: Case Studies and...
Paperback
$$
Machine Learning for Hackers: Case Studies and...
Kindle Edition
$$
Cover image
Hands-On Machine Learning with Scikit-Learn, Keras,...
Save
Provides a hands-on introduction to machine learning using Scikit-Learn, Keras, and TensorFlow. It valuable resource for anyone who wants to learn about the practical aspects of AI.
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Kindle Edition
$$
Cover image
Deep Learning with Python, Second Edition
Save
Provides a hands-on introduction to deep learning using Python. It valuable resource for anyone who wants to learn about the practical aspects of AI.
Deep Learning with Python, Second Edition
Paperback
$$
Deep Learning with Python, Second Edition
Kindle Edition
$$

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Time
15 hours
Level
Advanced
Via
Udacity
Instructors
Sebastian Thrun
Thad Starner
Peter Norvig
Language
English
Good to know
Explores recommended online and offline resources for continued learning in artificial intelligence for students
Provides a thorough overview of resources for further AI learning
Best suited for individuals seeking guidance on continuing their study of artificial intelligence
Share and help others discover this course.
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