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Free Courses in Artificial Intelligence
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Want to Learn AI from Top Resources? Explore These Free AI Courses from Leading Universities

Building AI assistants and agents is increasingly popular among developers. Regardless of your field—be it data analytics, machine learning, DevOps, and beyond—you can enhance your workflow with AI. So where should you begin?

You could dive right into building AI applications and learn along the way, but mastering the fundamentals of AI is equally crucial. To assist you, we’ve compiled a list of free university courses that will provide you with a strong foundation in AI.

Let’s take a look at these courses:

1. CS50’s Introduction to Artificial Intelligence with Python – Harvard

CS50’s Introduction to Artificial Intelligence with Python from Harvard is an excellent starting point. This course lays the algorithmic groundwork for artificial intelligence.

To follow along, you should be comfortable programming in Python. Over approximately 7 weeks, you will explore search algorithms, machine learning, large language models, and more. Each module includes projects to work on.

Topics Covered:

      • Graph Search Algorithms

      • Advanced Search

      • Knowledge Representation

      • Logical Inference

      • Bayesian Networks

      • Markov Models

      • Machine Learning

      • Neural Networks

      • Natural Language Processing

    Link: CS50’s Introduction to Artificial Intelligence with Python

    2. Artificial Intelligence – MIT

    Artificial Intelligence (6.034) by MIT is an undergraduate-level course that covers the essential foundations needed to build intelligent systems.

    Focus Areas:

        • Knowledge Representation

        • Problem Solving

        • Learning Methodologies for AI

      You can access all course materials for free on MIT OpenCourseWare.

      Topics Covered:

          • Reasoning

          • Search

          • Constraints

          • Learning Algorithms

          • Deep Neural Networks

          • Probabilistic Inference

        Link: Artificial Intelligence

        3. Artificial Intelligence: Principles and Techniques – Stanford University

        Artificial Intelligence: Principles and Techniques (CS221) from Stanford offers a comprehensive overview of the AI landscape. You’ll learn about machine learning, search, game playing, and more.

        Topics Covered:

            • Machine Learning

            • Search Algorithms

            • Markov Decision Processes

            • Game Playing

            • Factor Graphs

            • Bayesian Networks

            • Logic

            • Deep Learning

          Link: Stanford CS221: Artificial Intelligence: Principles and Techniques

          4. AI in Healthcare Specialization – Stanford University

          Healthcare is a critical area where AI applications can make a significant impact, from improving prognosis and diagnosis to making healthcare more accessible.

          The AI in Healthcare Specialization offered by Stanford University on Coursera includes a series of courses and a capstone project.

          Included Courses:

              • Introduction to Healthcare

              • Introduction to Clinical Data

              • Fundamentals of Machine Learning for Healthcare

              • Evaluation of AI Applications in Healthcare

            Link: AI in Healthcare Specialization

            5. Introduction to Generative AI – Duke University

            Generative AI has gained immense popularity with recent advancements and ongoing research. Building applications with large language models is a current focus for many developers.

            Introduction to Generative AI by Duke University on Coursera will guide you through the generative AI landscape, including working with both open-source and closed-source large language models, and cloud APIs.

            Modules:

                • Introduction to Generative AI

                • Interacting with Models

                • Building Robust Generative AI Systems

                • Applications of LLMs

              Link: Introduction to Generative AI

              Wrapping Up

              We hope you find this round-up of free AI courses helpful. For courses available on platforms like Coursera and edX, you can sign up for a free account and audit the courses to access the content for free.

              About the Author:
              Kanishk Vats is a developer and technical writer from India, passionate about the intersection of math, programming, data science, and content creation. His interests and expertise include DevOps, data science, and natural language processing. He enjoys reading, writing, coding, and coffee, and is dedicated to sharing his knowledge with the developer community through tutorials, guides, opinion pieces, and more.

              Kanishk Vats

              www.arbindsingh.com

               

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