Master AI: Curated Courses for Advanced Learning and Career Growth

We are always looking out for new and insightful learning tools for you. As we identify amazing opportunities for you to achieve astounding new insights and skills to navigate your future work they will be found here. Some are free, some paid, some affiliates. Master AI and accelerate your opportunities in the new world.

More Free AI Courses – AI Experts Share their Knowledge!

Master AI

Introductory Courses

1. Machine Learning Specialization (3 Courses)

  • Instructors: Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig
  • Description: Dive into the fundamentals of machine learning with this specialization, consisting of 3 courses.

2. Mathematics for Machine Learning and Data Science Specialization (3 Courses)

  • Instructors: Luis Serrano, Anshuman Singh, Elena Sanina, Magdalena Bouza, Obed Kobina Nsiah, Lucas Coutinho
  • Description: Learn the mathematical foundations required for machine learning and data science in 3 courses.

3. AI for Everyone (1 Course)

  • Instructor: Andrew Ng
  • Description: Get a broad understanding of AI’s impact on society and business with this introductory course.

4. AI for Good (3 Courses)

  • Instructor: Robert Monarch
  • Description: Discover how AI can be applied to solve global challenges in this 3-course specialization.

5. Generative AI for Everyone (1 Course)

  • Instructor: Andrew Ng
  • Description: Explore the world of generative AI with this introductory course.

Intermediate Courses

1. Deep Learning Specialization (5 Courses)

  • Instructors: Andrew Ng, Kian Katanforoosh, Younes Bensouda Mourri
  • Description: Take a deep dive into deep learning with this comprehensive 5-course specialization.

2. Natural Language Processing Specialization (4 Courses)

  • Instructors: Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu
  • Description: Learn how to process and understand human language with this 4-course specialization.

3. AI for Medicine Specialization (3 Courses)

  • Instructors: Pranav Rajpurkar, Amirhossein Kiani, Bora Uyumazturk, Eddy Shyu
  • Description: Explore the applications of AI in the field of medicine through this 3-course specialization.

4. TensorFlow: Data and Deployment Specialization (4 Courses)

  • Instructor: Laurence Moroney
  • Description: Master TensorFlow for data processing and deployment in these 4 courses.

5. TensorFlow Developer Professional Certificate (4 Courses)

  • Instructor: Laurence Moroney
  • Description: Earn a professional certificate in TensorFlow development with these 4 courses.

6. Generative Adversarial Networks (GANs) Specialization (3 Courses)

  • Instructors: Sharon Zhou, Eda Zhou, Eric Zelikman
  • Description: Dive into the fascinating world of GANs with this 3-course specialization.

7. TensorFlow: Advanced Techniques Specialization (4 Courses)

  • Instructors: Laurence Moroney, Eddy Shyu
  • Description: Advance your TensorFlow skills with this 4-course specialization.

8. Generative AI with LLMs (1 Course)

  • Instructors: Antje Barth, Chris Fregly, Shelbee Eigenbrode, Mike Chambers
  • Description: Learn about generative AI with Large Language Models (LLMs) in this course.

Free Knowledge Gifts for You.

Accelerate
  1. Introduction to Artificial Intelligence:
    • This course provides an understanding of key concepts in Artificial Intelligence (AI) and demonstrates how AI can enhance products, life, and careers. It covers general intelligence, problem-solving, and practical usage of AI systems.
  2. What is Generative AI:
    • This course delves into the basics of Generative AI, its application across various fields like film, marketing, healthcare, etc., and its ethical implications. It explains how Generative AI can create original content like text, images, and videos, and provides an understanding of how it is trained and works.
  3. Generative AI: The Evolution of Thoughtful Online Search:
    • The course explores the differences between search and reasoning engines, focusing on thoughtful search strategies within generative AI. It also delves into how finding and sharing information online has evolved, and explains the workings of text-to-image generative AI programs.
  4. Streamlining Your Work with Microsoft Bing Chat:
    • This course, instructed by Jess Stratton, guides learners on utilizing Microsoft Bing Chat, a popular chat AI tool, to streamline work. It explores how chatting can serve as a productivity tool and how Bing Chat can assist in solving various problems like planning itineraries and creating schedules.
  5. Ethics in the Age of Generative AI:
    • Focused on the ethical considerations essential for generative AI creation and deployment, this course explores ways to address ethical challenges. It discusses the urgency of ethical design in AI, understanding ethical frameworks, and the role of the C-Suite in directing responsible AI.
AI Learning

Resources for Educators

  1. aiEDU Professional Development:
    • A dynamic program aimed at enhancing AI literacy among educators. It includes interactive and flexible sessions, catering to various educational settings and focusing on practical AI applications.
  2. aiEDU Teach AI:
    • Offers comprehensive resources for teaching AI, including modules for different grades. Features project-based explorations, engaging warmups, and a dashboard for student projects.
  3. ISTE Artificial Intelligence Explorations:
    • A 15-hour, self-paced course that introduces educators to AI, its types, and practical uses in schools, requiring no prior AI or coding experience.
  4. Microsoft’s Empower Educators:
    • An introductory module for K-12 and higher education educators, focusing on essential AI concepts, techniques, and their practical application in education.
  5. OpenAI’s Teaching with AI:
    • Provides guidance for using ChatGPT in classrooms, including prompts, use-cases, and addressing AI limitations and biases, aimed at enhancing student learning.