Free AI Courses by Coursera | edX | Microsoft | Udacity

In today's fast-paced and ever-evolving world, staying ahead of the curve is essential, especially in the field of artificial intelligence (AI). As AI continues its rapid advancement, professionals across various industries must acquire the necessary skills and knowledge to leverage this technology effectively. Luckily, there are numerous free AI courses available online that provide comprehensive and up-to-date education on the subject. In this article, we've curated a list of some of the top-notch AI courses. There is something here for everyone, whether you are a beginner or an expert.

The AI Revolution: Why It Matters in 2023

Artificial intelligence (AI) has been changing how people live and work and causing waves in a number of industries. As we are in 2023, it's becoming increasingly clear that AI is no longer just a buzzword, but a crucial aspect of businesses worldwide. There are a lot of reasons why AI Matters the most in 2023.

✅ First and foremost, AI has the potential to revolutionize productivity and efficiency. By automating repetitive and mundane tasks, AI technologies enable employees to focus on more strategic and creative endeavors. This not only boosts workforce productivity but also leads to innovation and better business outcomes.

✅ Moreover, AI can provide valuable insights and augment decision-making processes. With its ability to process vast amounts of data and identify patterns, AI algorithms can uncover hidden trends and correlations that humans may miss. This empowers organizations to make data-driven decisions, leading to improved efficiency, profitability, and competitive advantage.

✅ The impact of AI is particularly significant in customer experience. AI-powered chatbots and virtual assistants can enhance customer support by quickly and accurately responding to inquiries, providing personalized recommendations, and even resolving issues. This level of responsiveness and customization can greatly improve customer satisfaction and loyalty, ultimately driving business growth.

✅ In addition, AI has the potential to revolutionize various industries through predictive analytics and forecasting. By analyzing historical data and identifying patterns, AI algorithms can predict future trends and outcomes with a high degree of accuracy. This enables organizations to anticipate customer demand, optimize supply chains, and make proactive business decisions, leading to increased profitability and market share.

✅ Lastly, the AI revolution matters because it has the potential to impact society as a whole. While AI brings numerous benefits, it also raises ethical and societal concerns that need to be addressed. From job displacement to privacy concerns, it is essential for organizations and policymakers to navigate the ethical implications of AI implementation. By doing so, we can ensure that AI technologies are developed and used responsibly, benefiting society in the long run.

How To Choose the Best Free AI Course?

Embarking on a journey of AI education is both exciting and rewarding, but with the multitude of free courses available, it's crucial to choose wisely. Here are a few things to keep in mind before selecting the best free AI course that aligns with your learning goals and aspirations.

Check the credentials of the instructor/university. Go for courses from top universities like Stanford, MIT, etc.
Consider your learning goals and level. Are you a beginner just starting? Or looking to gain expertise in a specific topic like deep learning? Pick a course aligned with your objectives.
Look at the course structure and topics covered. Ensure it systematically covers core concepts and includes hands-on projects.
Evaluate reviews and ratings from past students. This can give you a sense of course quality and how engaging/helpful others found it.
Check required prerequisites if any. Some advanced courses may expect programming/math skills that beginner courses cover.
Consider time commitment. Massive open online courses (MOOCs) range from 5 to 15 hours a week. Ensure you have enough time.
Practice is important. Opt for courses that include coding assignments and exercises to apply concepts.
Platform matters. Choose a platform that tends to have high-quality courses from top schools.
Always go for the most recent versions as AI is an evolving field.
Be patient. Free courses are often available only at specific times, unlike paid ones.

Choosing the right AI course is a key step towards gaining a solid grasp of this transformative field. Prioritize courses with comprehensive content, reputable instructors, and opportunities for interactive learning. By investing your time and dedication in a high-quality free AI course, you're setting yourself on a path to unlocking a world of opportunities and innovation.

Top Free AI Courses to Enroll in 2023

In a world driven by artificial intelligence, staying ahead requires the right education. This selection brings you the most comprehensive and up-to-date courses designed to cater to various skill levels, from beginners to seasoned professionals. Discover the gateway to cutting-edge knowledge with our compilation of the Top Free AI Courses to Enroll in 2023.

Here is a list of platforms that offer free AI courses in 2023:

Coursera - One of the largest MOOC providers with many free AI/ML courses from universities like Stanford, DeepLearning.AI, IBM, etc.
edX - Offers beginner to advanced-level free AI courses from partners like MIT, Berkeley, and Microsoft. Some provide certificates.
Udacity - Popular for its nano degree programs, Udacity also has several introductory-level free AI courses.
Udemy - While most courses are paid, Udemy periodically offers some AI courses temporarily for free.
Google - Offers beginner courses on ML and AI via Coursera specializations and on their Cloud Training platform.‍
Microsoft - Provides free courses on Azure Machine Learning and AI concepts on edX and LinkedIn Learning.

Platforms Which Offer Free AI Courses In 2023

5 Best AI Courses By Coursera

Course 1: Introduction to Artificial Intelligence (AI)

Course Overview: This course introduces learners to the concepts and algorithms behind artificial intelligence, including machine learning and deep learning. Learners will explore use cases, applications, and the future of AI.

Instructor Highlight: Instructor Rav Ahuja is an AI expert with IBM. He has over 20 years of experience working in AI and building cognitive systems.

Key Features: Modules, quizzes, discussions. Mini final project to demonstrate AI concepts.

Access: https://www.coursera.org/learn/introduction-to-ai

Course 2: Deep Learning Specialization

Course Overview: This in-depth program helps learners master the fundamentals of deep learning and break into AI. It covers neural networks, TensorFlow, computer vision, NLP, and more.

Instructor Highlight: Led by Andrew Ng, this hands-on specialization also features experts from Deeplearning.ai.

Key Features: 5 courses, capstone project, career assistance. Helpful for those looking to pursue deep learning careers.

Access: https://www.coursera.org/specializations/deep-learning

Course 3: University of Pennsylvania’s “AI For Business”

Course Overview: Gain an understanding of key AI concepts and technologies. Develop strategies to incorporate AI, ML, and big data into an organization.

Instructor Highlight: Led by experts from Wharton, including Professor Kartik Hosanagar.

Key Features: 4 courses, assessments, case studies. Real-world focus on AI applications in marketing, finance, HR, and more.

Access: https://www.coursera.org/specializations/ai-for-business-wharton

Course 4: AI For Everyone

Course Overview: Introduction to fundamental AI concepts like machine learning, neural networks, and algorithms. No experience is needed.

Instructor Highlight: Instructor Andrew Ng, founder of deeplearning.ai and AI pioneer.

Key Features: Single course, supplemental readings. Good starting point for non-technical learners.

Access: https://www.coursera.org/learn/ai-for-everyone?

Course 5: Natural Language Processing Specialization

Course Overview: Explore NLP techniques like topic modeling, text classification, and machine translation. Gain hands-on experience with Python.

Instructor Highlight: Led by deeplearning.ai faculty including Łukasz Kaiser.

Key Features: 5 courses, real-world projects, career guidance. Certification demonstrates NLP skills.

Access: https://www.coursera.org/specializations/natural-language-processing

Note📢: Certain courses from the list above might involve a fee for obtaining a verified certificate or for the course.

5 Best AI Courses By edX

Course 1: Professional Certificate in Computer Science for Artificial Intelligence

Course Overview: Gain skills in AI, machine learning, deep learning & data visualization. Learn to design, develop & apply AI systems to real-world problems.

Instructor Highlight: Instructors from Harvard University.

Key Features: 22+ hours of content, hands-on projects, career services. Covers all aspects of AI like ML, NN, TensorFlow, etc.

Access: https://www.edx.org/professional-certificate/harvardx-computer-science-for-artifical-intelligence

Course 2: Self-Driving Cars with Duckietown

Course Overview: Learn the principles of autonomous vehicles through miniature self-driving car simulations and experiments.

Instructor Highlight: Instructors from top schools like MIT, University of Pennsylvania, ETH Zurich, etc. Experts in robotics.

Key Features: Hands-on labs, coding exercises, final projects. Learn through building & testing self-driving cars.

Access: https://www.edx.org/Self-Driving Cars with Duckietown

Course 3: AI Chatbots without Programming (IBM)

Course Overview: Build smart chatbots using IBM Watson and other no-code tools without writing any code.

Instructor Highlight: Conducted by IBM trainers having experience in building Watson AI assistants.

Key Features: Self-paced modules. Build your own chatbot using the provided tools.

Access: https://www.edx.org/AI Chatbots

Course 4: AI for Everyone: Master the Basics (IBM)

Course Overview: Gain fundamentals of AI like machine learning, and algorithms through interactive lessons & videos.

Instructor Highlight: Top AI specialists from IBM having decades of applied R&D experience.

Key Features: Projects, career guidance. For both technical & non-technical learners.

Access: https://www.edx.org/learn/artificial-intelligence/ibm-ai-for-everyone-master-the-basics

Course 5: CS50's Introduction to Artificial Intelligence with Python (Harvard)

Course Overview: Explore AI techniques like agents, and machine learning through Python & applications.

Instructor Highlight: Taught by David J. Malan, professor of computer science at Harvard University.

Key Features: Coding projects & quizzes. Leverages Harvard resources for high-quality content.

Access:

https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python

Note📢: Certain courses from the list above might involve a fee for obtaining a verified certificate or for the course.

5 Best AI Courses By Microsoft

Course 1: Microsoft Certified: Azure AI Fundamentals

Course Overview: This certification validates foundational knowledge of AI concepts and related Azure services. It covers machine learning principles, computer vision, natural language processing, and how Azure enables common AI workloads. Earning this certification demonstrates an individual's ability to implement, monitor, and optimize AI workloads on Azure.

Instructor Highlight: The course content is developed by a team of AI experts, developers, and engineers from Microsoft. They have extensive expertise in building commercial AI systems and sharing knowledge of AI concepts, principles, and technologies.

Key Features: Online video lectures, hands-on labs, practice exams, community forums for peer help, and a final exam to earn the certification upon passing.

Access: https://learn.microsoft.com/en-us/certifications/azure-ai-fundamentals/

Course 2: Microsoft Azure Machine Learning

Course Overview: This course teaches you how to use Machine Learning techniques with Azure Machine Learning service. It covers the basics of machine learning pipelines, model development, and operationalization of ML workflows on Azure. It's part of the preparation for the AI-900 Microsoft Azure AI Fundamentals certification.

Key Features: Modules with videos, readings, and hands-on labs using Azure ML SDK, and tools. Includes building, and deploying ML models in Azure.

Access: https://www.coursera.org/learn/microsoft-azure-machine-learning

Course 3: Artificial Intelligence on Microsoft Azure

Course Overview: This course provides an introduction to AI concepts like machine learning, computer vision, and natural language processing. It explores responsible AI practices and shows how to use Azure cognitive services to build AI solutions. It prepares students for the AI-900 Microsoft Azure AI Fundamentals certification exam.

Key Features: 5+ hours of content on AI fundamentals, and considerations for building AI solutions on Azure.

Access: https://www.coursera.org/learn/artificial-intelligence-microsoft-azure

Course 4: Preparing for AI-900: Microsoft Azure AI Fundamentals exam

Course Overview: This course helps students prepare, and practice for the AI-900 Microsoft Azure AI Fundamentals certification exam. It recaps topics from previous courses and includes mock exams mapping to the exam domains.

Key Features: Video lectures, readings, assessments, and full-length practice exams to reinforce concepts, and ensure exam readiness.

Access: https://www.coursera.org/learn/microsoft-ai-900-exam-prep

Course 5: Natural Language Processing in Microsoft Azure

Course Overview: This course teaches how to use Azure cognitive services for advanced NLP tasks like text analytics, translation, entity recognition, and language understanding. Concepts are reinforced through hands-on exercises.

Key Features: Video lessons, readings, and quizzes plus coding exercises using the Azure Text Analytics, LUIS, and Translate APIs.

Access: https://www.coursera.org/learn/nlp-microsoft-azure

Note📢: Certain courses from the list above might involve a fee for obtaining a verified certificate or for the course.

5 Best AI Courses By Udacity

Course 1: Intro to AI

Course Overview: Gain a solid foundation in AI including machine learning algorithms like supervised/unsupervised learning, computer vision, NLP, and more.

Instructor Highlight: Sebastian Thrun is the founder of Udacity and a leader in AI/robotics research at Stanford.

Key Features: Coding exercises and projects in Python, career lessons, Certificate of Completion.

Access: https://www.udacity.com/course/intro-to-artificial-intelligence--cs271

Course 2: Intro to Machine Learning

Course Overview: Learn ML concepts and algorithms like linear regression, SVMs, and neural networks and apply them using sci-kit-learn.

Instructor Highlight: Sebastian Thrun is the founder of Udacity and a leader in AI/robotics research at Stanford.

Key Features: Case studies, coding assignments, peer forums, and career guidance.

Access: https://www.udacity.com/course/intro-to-machine-learning--ud120

Course 3: Convolutional Neural Networks

Course Overview: Learn CNN models for tasks like image classification and object detection using TensorFlow.

Instructor Highlight: A Team of principal AI researchers and Data Scientists.

Key Features: Practical DL projects, documentation, and certification.

Access: https://www.udacity.com/course/deep-learning-nanodegree--nd101

Course 4: Deep Learning

Course Overview: Gain an in-depth understanding of deep learning algorithms and models.

Instructor Highlight: Magnus Hyttsten and team, Developer Advocate at Google.

Key Features: Hands-on labs, assignments, career mentorship.

Access: https://www.udacity.com/course/deep-learning--ud730

Course 5: Self-Driving Cars

Course Overview: Learn the end-to-end process from data collection to building and deploying self-driving car systems.

Instructor Highlight: Sebastian Thrun is the founder of Udacity and a leader in AI/robotics research at Stanford.

Key Features: Real-world projects, industry expertise, Certification upon completion.

Access: https://www.udacity.com/course/intro-to-self-driving-cars--nd113

Note📢: Certain courses from the list above might involve a fee for obtaining a verified certificate or for the course.

5 Best AI Courses By Udemy

Course 1: Deep Learning A-ZTM: Hands-On Artificial Neural Networks

Course Overview: Gain deep learning skills in Tensorflow 2.0, Keras, CNNs, RNNs, NLP, and more.

Instructor Highlight: Kirill Eremenko, Data Science consultant space with experience in finance, retail, transport, and other industries, and other experienced Data scientists.

Key Features: 22+ hours of content, 30 articles, coding exercises and projects, downloadable code.

Access: https://www.udemy.com/course/deeplearning/

Course 2: Python for Machine Learning and Data Science

Course Overview: Implementation of fundamental ML concepts like regression, classification, clustering, and deep learning.

Instructor Highlight: Jose Marcial Portilla, instructor, and trainer for Data Science, Machine Learning, and Python Programming.

Key Features: 44+ hours of content, coding assignments, quizzes, and certificates.

Access: https://www.udemy.com/course/python-for-machine-learning-data-science-masterclass/

Course 3: Artificial Intelligence & Machine Learning for Business

Course Overview: This course provides an introduction to AI and ML techniques and how businesses can apply them to solve problems. Learners will understand current applications in the industry and develop hands-on skills.

Instructor Highlight: Analytics Vidhya is one of the largest Analytics and Data Science communities across the globe.

Key Features: Over 5.5+ hours of content, hands-on Python coding exercises, and certification.

Access: https://www.udemy.com/course/artificial-intelligence-machine-learning-business/

Course 4: TensorFlow Developer Certificate in 2023: Zero to Mastery

Course Overview: Implement neural networks with TensorFlow for structured/unstructured data problems.

Instructor Highlight: Andrei Neagoie, Founder of ZTM Academy, and Daniel Bourke, self-taught Machine Learning Engineer

Key Features: 19 sections, Code along with video explanation, and supplementary materials.

Access: https://www.udemy.com/course/tensorflow-developer-certificate-machine-learning-zero-to-mastery/

Course 5: The Complete Neural Networks Bootcamp: Theory, Applications

Course Overview: Build NN models for classification, regression, CNN, and RNN from scratch using TensorFlow.

Instructor Highlight: Fawaz Sammani, a researcher doing research in Computer Vision.

Key Features: Hands-on projects using popular datasets, 75+ lectures.

Access: https://www.udemy.com/course/the-complete-neural-networks-bootcamp-theory-applications/

Note📢: Udemy is mostly paid and though we have picked the least cost list for you.

Conclusion

The world of AI is so exciting and now is the perfect time to dive in and explore through these AMAZING free courses! 🥳 Whether you're just starting out or looking to take your skills to new heights, these classes offer something for everyone.

Just imagine all the cool things you'll learn and be able to create once you've finished! Chances are, some of the brightest minds in tech have had a hand in designing these programs. You'll be in great company as you journey through Neural Nets, Machine Learning, and so much more.

Who knows - this could be the start of developing the next revolutionary AI application! The opportunities really are endless. Don't just stare at this message - go click those course links! 👆Your future as an AI trailblazer awaits!

Careerflow will be watching your progress with excitement. 👏 You've got this - now get out there and start powering your potential with AI! 💪