12 Must-Attend Free Harvard Courses for 2024

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Introduction to Large Language Models. - 1 day - Introductory - Free This is an introductory level microlearning course that explores what large language models (LLM). It also covers Google tools to help you develop your own Gen AI apps. cloudskillsboost.google

Introduction to Generative AI This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. cloudskillsboost.google

Introduction to Responsible AI This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products cloudskillsboost.google

Generative AI Fundamentals Earn a skill badge by completing the Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI courses. cloudskillsboost.google

Encoder-Decoder Architecture This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks. cloudskillsboost.google/course_templates/543

Here are Alternative 12 courses you don't want to miss in 2024:

1. Artificial Intelligence in Business: Creating Value through Machine Learning. Leverage new technologies to create value for your organization. 🔗 URL: pll.harvard.edu/course/artificial-intelligence-business-creating-value-machine-learning

2. Data Science: Machine Learning. Build many projects and learn the science behind the most popular and successful data science technique. 🔗 URL: pll.harvard.edu/course/data-science-machine-learning

3. CS50 Introduction to Computer Science for Business Professionals. This is an introduction to CS50 computer science for business professionals. 🔗 URL: pll.harvard.edu/course/cs50s-computer-science-business-professionals-0?delta=0

4. Introduction to data science with Python. Join Harvard instructor Pavlos Protopapas for this online course and learn how to use Python for data collection and analysis. 🔗 URL: pll.harvard.edu/course/introduction-data-science-python?delta=0

5. CS50 course to understand technology. This is a technical introduction to CS50 for students who don't (yet) consider themselves computer people. 🔗 URL: pll.harvard.edu/course/cs50s-understanding-technology-0?delta=0

6. Introduction to the CS50 course on programming with Python. This introduction to Python programming covers the basics of a versatile, general-purpose language favored in data science, web development, automation, and many other applications. 🔗 URL: edx.org/learn/python/harvard-university-cs50-s-introduction-to-programming-with-python

7. Introduction to Development Learn practical lessons in developing 2D and 3D interactive games. 🔗 URL: edx.org/course/cs50s-introduction-to-game-development

8. Web programming using Python and JavaScript. Following CS50, this course offers an advanced exploration into web development, focusing on Python, JavaScript, and SQL with frameworks including Django, React, and Bootstrap. 🔗 URL: pll.harvard.edu/course/cs50s-web-programming-python-and-javascript/2023-05

9. Use React Native for mobile app development. Learn how to create mobile apps using the well-known Facebook-maintained framework React Native. It uses JavaScript to enable cross-platform native applications without using Java or Swift. 🔗 URL: edx.org/learn/react-native/harvard-university-cs50-s-mobile-app-development-with-react-native

10. Introduction to artificial intelligence in CS50 using Python. Topics: ☑️ Knowledge representation ☑️ Graph search algorithm ☑️ Adversarial search ☑️ Bayesian Network ☑️ Logical reasoning ☑️ Probability theory ☑️ Markov model 🔗 URL: edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python

11. Introduction to CS50 programming using Scratch. A foundational introduction to programming, preparing you for more advanced courses. Topics: ☑️ Function ☑️ Event ☑️ Value ☑️ Conditions ☑️ Loop ☑️ Variables 🔗 URL: pll.harvard.edu/course/cs50s-introduction-programming-scratch

12. Introduction to computer science. An introduction to computer science thinking and the art of programming. Topics: ☑️ Solve problems through algorithms. ☑️ Programming languages: C, Pbython, SQL, JavaScript, CSS, HTML and more. 🔗 URL: edx.org/learn/computer-science/harvard-university-cs50-s-introduction-to-computer-science

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