Artificial intelligence courses have a worldwide scope nowadays. AI and ML courses have many uses, including but not limited to self-driving car capabilities, natural language processing, and computer vision.
In this Best AI and ML Courses Guide (BCG), I have selected the best free online artificial intelligence courses, resources, and tutorials to learn applied AI and ML.
I have also used the verified list of over 200K courses on Class Central to find the best online courses. Some of the courses are designed for students at an advanced level, while others instill you with the basics and principles, and then you are presented with practical uses for them.
Allow me to list down the best courses to take if you want to know about Applied AI & ML. Learn about their many applications: automatic transport vehicles, NLP, computer vision, and many others.
What is Applied AI & ML?
Perhaps you read something about AI and machine learning somewhere and other places. Or maybe you’ve become quite impressive in the former ones.
It’s understandable. Both of these fields are very promising. But now, you do not know how to apply what you have learned in performances or whatever course you undertake.
These are in case you actually do not know these fields yet AI is the sub-discipline of computer science that is concerned with the ways by which computers can be made to exhibit human intelligence.
Of the many categories of AI, machine learning is that of learning with big data. If you aren’t familiar with these areas, you may want to check out our AI or ML handbooks),
The best method to lock in the understanding of AI and ML is to apply it. But guess what? There are millions, perhaps literally billions, of effective ways to do things using AI and machine learning.
That way, you build up the kinds of skills employers care about through projects that aren’t just useful – they’re interesting.
Best Applied AI And ML Courses
Best Overall Convolutional Neural Networks Course (DeepLearning.AI)
The best general PC vision utilizing convolutional brain networks course is given by DeepLearning.It is available for audit and can be taken free of charge if a passing mark in the final exam is obtained.
From self-driving vehicles to face recognition or radiology image analysis, you will learn how to create and use convolutional neural networks for many visual tasks.
Prerequisites: Python skills from intermediate level, preliminary knowledge of linear algebra and ML.
What you’ll learn:
- grasp the basics of Convolutional Neural Networks (CNNs) and their structure
- Implement deep neural models for multi-class image classification
- Build a Siamese network for face recognition
- observe neural fashion transfer using deep ConvNets to generate art.
Other Information
- Institution: DeepLearning.AI
- Provider: Coursera
- Specialization: Part of the Deep Learning
- Level: Intermediate
- Workload: 39 hours
- Enrollments: 510K
- Rating: 4.9 / 5.0 (42K)
- Cost: Free to audit
- physical activities: Graded quizzes and two programming assignments (for paying freshmen)
- Certificate: Paid
Top Data Science & AI Certificate Course with Live Classes & Personalized Coaching (Noble Desktop)
For those who enjoy in-class learning, Noble Desktop’s Data Science & AI Certificate is a live class with immediate interaction and reporting that is difficult to achieve with recorded courses. Further, you receive an NY State-Licensed Certificate.
That is when I noticed that it is a program implemented both face-to-face (NYC campus) and virtually through Zoom. When attending the online class, you will get personal attention and even be able to see the other students in the class.
Instructors will be present during the session and it means that you will be able to talk to the instructors, get feedback, and ask questions. Also, you’ll be able to listen to the class recordings and get access to all workbooks – handy if you’ve missed a class or two and need some help with materials.
If you prefer instructor-led learning, Noble Desktop’s Data Science & AI Certificate offers real-time feedback and accountability that pre-recorded courses can’t match. Additionally, you get a NY State-Licensed Certificate.
Key Benefits
- Small class sizes (8-15 students)
- Includes six 1-on-1 mentoring sessions
- Free retake within one year
- Detailed class files with real-world projects
Other Information
- Institution: Noble Desktop
- Provider: Direct (NYC campus or Live Online)
- Instructors: Art Yudin, Brian McClain, Colin Jaffe
- Level: Beginner to Intermediate
- Workload: 114 hours (plus optionally available 30-hour Python for AI non-compulsory)
- Rating: 4.8/5.0 (Yelp) and 5.0/5.0 (Google)
- Certificate: NYS Licensed Certificate
Best Intro to Self-Driving Cars for Engineers presented by the University of Toronto
The University of Toronto initiated the course Introduction to Self-Driving Cars, which will offer insights into the new generation of autonomous automobiles.
Here, in an open-to-the-public course, you’ll learn terms connected with self-driving cars, their design concepts, and safety evaluations.
note: This superior route requires a background in engineering or robotics with sturdy foundations in Linear Algebra, information, Calculus, and Physics, plus Python 3 programming abilities. You’ll need a somewhat recent 64-bit Windows or Ubuntu machine with 8 GB RAM to run the CARLA simulator.
Make sure the schools you are choosing are accredited, and their curriculums and their faculty that teach the best AI ML course adequately align with those requirements, and the schools should have appropriate connections to the industry, are flexible, affordable, and have good ratings.
These include certificates that range from online to full-time degrees and can be matched to your specific goal and purpose. The best course provides a reliable background, real-world practice, and assistance in the AI career progress.
Other Information
- Institution: University of Toronto
- Provider: Coursera
- Part of Self-Driving Cars: Specialization
- Instructors: Steven Waslander and Jonathan Kelly
- Level: Advanced
- Workload: 35 hours
- Enrollments: 144K
- Rating: 4.7 / 5.0 (2.8K)
- Cost: Free to audit
- Certificate: Available, paid
Most Applicable Machine Learning Option in the Real World (DeepLearning.AI)
DeepLearning.AI’s Structuring Machine Learning Projects course by the acclaimed tutor Andrew Ng provides tips proven in the industry that one usually learns in their experience.
It is an executive-level course that is offered at no charge and provides you with the ability to design and run efficient machine-learning undertakings.
Structuring Machine Learning Projects by DeepLearning.AI is AI for leaders taught by legendary ML instructor Andrew Ng, and offers industry-level insights typically gained only after years of experience.
What you’ll learn:
- Develop effective machine-learning strategies
- Optimize ML production workflows
- Diagnose and reduce errors in ML systems
- Set attainable goals based on appropriate metrics
- Properly split datasets for training and testing
- Compare ML performance with human-level performance
- Manage complex ML settings (e.g., mismatched training/test sets)
- Determine when to use multi-task, transfer, and end-to-end deep learning.
Other Information
- Institutio: DeepLearning.AI
- Provider: Coursera
- Specialization: Part of the Deep Learning
- Level: Beginner
- Workload: 10 hours
- Enrollments: 468K
- Rating: 4.8 / 5.0 (49K)
- Exercises: 2 graded assignments (for paying learners)
- Certificate: Paid
Conclusion
AI and Machine learning are no longer abstract innovations—they are becoming industry drivers and effective problem solvers. Therefore, when you take any of the courses highlighted above, you will be able to learn applied artificial intelligence and machine learning techniques.
Whether you have an interest or specialization in advanced convolutional neural networks for image analysis or lessons in designing an efficient machine-learning project or even want to delve deep into the challenge of self-driving vehicles, then you are covered.
Hence, no matter whether you are a complete novice in machine learning or an advanced-level professional, now is the best phase to deepen your knowledge in the field of AI and ML.
Ready to master AI and ML? Discover the most popular AI leadership course for the present times and advance your knowledge of practical applications most demanded by employers. Don’t hesitate – enroll today!
