Best AI Courses: Artificial Intelligence is everywhere and to succeed in the coming technological world and gain opportunities we must be skilled in using AI. Making AI an opportunity is the best possible way to deal with the technological advancement coming our way. Let us learn about some of the best AI Courses provided by various reputed institutions.
Why learn AI?
Nowadays AI is everywhere and is rapidly growing. Learning AI can help individuals with valuable skills that can lead to exciting career opportunities, drive innovation, and contribute to addressing societal challenges. Some of the major reasons to learn AI in this generation include:
- AI is revolutionizing various industries, creating a high demand for professionals skilled in AI technologies. Learning AI opens up opportunities in fields like healthcare, finance, transportation, and more.
- It can automate repetitive tasks, freeing up time for humans to focus on more creative and strategic activities. Learning AI can help individuals and businesses streamline processes and increase efficiency.
- These AIÂ techniques such as machine learning and data mining can extract valuable insights from large datasets. This can help businesses make informed decisions and gain a competitive edge.Â
- Artificial Intelligence enables the development of innovative solutions to complex problems. By understanding AI techniques, one can contribute to creating new technologies and improving existing ones.Â
Top 10 Best AI Courses
The Machine learning courses provide a comprehensive introduction to the theory and practice of machine learning, equipping one with the knowledge and skills to apply machine learning techniques to solve real-world problems.Â
1. Learn Artificial Intelligence with PW Skills
Enrol in our Data Science with Generative AI Course to learn different aspects of artificial intelligence to enhance data science tools and technologies. Learn data science with Machine learning and Generative AI Concepts. Get interactive coursework and hands on learning experience with our expert mentors.
- The course duration is six months with more than 200+ hours of learning modules and learning contents.
- Learn with career centric latest syllabus.
- Get more than 7+ Industry relevant projects.
- Get free doubt clearing sessions.
- Free PW Lab access with the course
- Get industry recognized certification after completing the course
- Get module assignments, dashboard Q&A forums, practice exercises, assessments, and much more
- Know more about the course only at pwskills.com
| Best AI Courses | |
| Course Name | Data Science with Generative AIÂ |
| Provided by | PW Skills |
| Instructor | Vishwas Mohan, Dr. Ayan Debnath, Subhodeep Dey |
| Level | Beginner/Intermediate |
| Duration | 6 Months (200+ Hours of Learning) |
| Projects | 7+ Industry Relevant Projects |
| Language | English |
| Prerequisites | Candidates who have basic knowledge of data science and artificial intelligence can join |
| Certification offered | Yes |
| Placement assistance | 100% Placement assistance |
2. Mastering the Power of Artificial Intelligence Course With PW Skills
The course is especially prepared to master the power of artificial intelligence to boost your productivity by 10x. Get hands on interactive coursework and hands on practical experience. Through this course you can master cutting edge technologies and tools such as Dalle, ChatGPT, Eleven Labs, Luma AI, Wonder Studio, etc.
| Best AI Courses | |
| Course Name | Mastering the Power of Artificial Intelligence Course |
| Provided by | PW Skills |
| Instructor | Vishwa Mohan |
| Level | Beginner/Intermediate |
| Duration | 1 Month |
| Course Materials | 20+ Hours of Learning |
| Language | English |
| Prerequisites | Preferred Basic Knowledge of computer science related subject and artificial intelligence. |
| Course Perks |
|
| Assignments | Quizzes, programming assignments, notes of the lecture, practice excercises, and more |
| Learning Mode | Online recorded-mode |
| Certification | Yes, upon completing all quizzes, assignments, and final project |
3. Deep Learning Specialization by Andrew Ng (Coursera)
The Deep Learning Specialization by Andrew Ng is one of the best AI courses on Coursera. The course consists of video lectures, quizzes, programming assignments, and peer-graded assessments.Â
Upon completing the specialization, learners gain a comprehensive understanding of deep learning concepts and techniques, enabling them to apply deep learning to various real-world problems.Â
| Best AI Courses | ||
| Course | Description | Duration |
| Neural Networks and Deep Learning | Introduction to deep learning, neural networks, activation functions, and forward/backward propagation. | 4 weeks |
| Structuring Machine Learning Projects | Strategies for structuring machine learning projects include how to diagnose errors in a machine learning system and prioritize tasks. | 2 weeks |
| Convolutional Neural Networks | Introduction to convolutional neural networks (CNNs), including their architecture, applications, and implementation. | 4 weeks |
| Sequence Models | Introduction to sequence models such as recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and their applications in natural language processing and speech recognition. | 3 weeks |
4. IBM Applied AI Professional Certificate (Coursera)
This professional certificate is designed to provide learners with practical skills and knowledge in various aspects of applied AI, including understanding AI principles, building AI-powered applications, and implementing AI workflows in real-world scenarios using IBM Watson Technologies.Â
| Best AI Courses | |
| Aspect | Details |
| Provided by | Coursera |
| Issuing Institution | IBM |
| Certificate Offered | IBM Applied AI Professional Certificate |
| Duration | Approximately 6 months (self-paced) |
| Time Commitment | 3-4 hours per week |
| Prerequisites | Basic programming knowledge (Python recommended), familiarity with math concepts |
| Skills Covered | Machine Learning, Python programming, Data Science, AI applications |
| Course Content | Fundamentals of AI
Python for Data Science and AI Introduction to Machine Learning Building AI Applications with Watson AI AI Capstone Project |
| Assessment | Quizzes, programming assignments, peer-graded projects |
| Certification | Certificate of completion provided upon finishing all courses and capstone project |
| Cost | Usually requires payment, financial aid may be available |
5. MicroMasters Program in AI by Columbia University (edX)
This program provides a comprehensive understanding of artificial intelligence, machine learning, robotics, computer vision, and natural language processing, preparing students for various roles in the field.Â
| Best AI Courses | |
| Program Name | MicroMasters Program in Artificial Intelligence |
| Offered By | Columbia University |
| Platform | edX |
| Duration | Approximately 8-12 months (part-time) |
| Courses | Artificial Intelligence (AI)
Machine Learning (ML) Robotics Computer Vision |
| Format | Online, self-paced with instructor-led components |
| Credential | MicroMasters Certificate |
| Prerequisites | Basic programming skills (Python recommended) |
| Cost | Varies (financial aid available) |
| Skills Acquired | Understanding of AI concepts and techniques
Proficiency in machine learning and robotics Ability to apply AI techniques to real-world problems |
| Career Opportunities | AI Engineer
Machine Learning Engineer Data Scientist Robotics Engineer AI Researcher |
6. Artificial Intelligence Nanodegree Programs by Udacity
The Artificial Intelligence Nanodegree Program by Udacity offers hands-on projects, expert-reviewed assignments, and personalized feedback to help learners master AI skills and concepts. The courses involved in the program are mentioned below in detail:
| Best AI Courses | |||
| Nanodegree Program | Description | Duration | Prerequisites |
| AI Programming with Python | Learn Python, NumPy, Pandas, and more while building AI projects. | ~3 months | Basic Python programming knowledge |
| AI for Healthcare | Learn AI algorithms and tools tailored for healthcare applications. | ~4 months | Intermediate Python skills, familiarity with basic machine learning concepts |
| Natural Language Processing | Explore NLP techniques like sentiment analysis, speech recognition, and more. | ~4 months | Proficiency in Python, knowledge of machine learning fundamentals |
| Computer Vision | Master computer vision concepts and algorithms with OpenCV and TensorFlow. | ~4 months | Proficiency in Python, familiarity with basic machine learning concepts |
7. AI for Everyone by Andrew Ng (Coursera)
This course provides a comprehensive overview of AI tailored for individuals without a technical background, making it accessible to a wide audience interested in understanding the fundamentals and implications of AI.Â
| Best AI Course | |
| Course Title | AI for Everyone |
| Instructor | Andrew Ng |
| Platform | Coursera |
| Level | Beginner |
| Duration | It takes approximately 6 hours to complete |
| Prerequisites | None |
| Description | Introduces non-technical learners to AI concepts, terminology, and applications. Covers AI’s impact on businesses, AI strategy, and how to navigate ethical and societal implications of AI. |
| Topics Covered | Introduction to AI
Building AI in Your Company AI and Society Rebooting AI AI Strategy and Ethics |
| Certification | Available for purchase upon completion with a certificate |
| Special Features | Taught by Andrew Ng, a prominent figure in AI and co-founder of Coursera.
Designed for learners with non-technical backgrounds. |
8. Artificial Intelligence A-Z. Learn How to Build an AI (Udemy)
This course provides a comprehensive introduction to AI, focusing on practical implementation and hands-on projects to build AI models, It’s suitable for individuals with basic programming knowledge and a keen interest in learning AI concepts and applications.
| Best AI Courses | |
| Course Title | Artificial Intelligence A-Z: Learn How to Build an AI |
| Content | Comprehensive introduction to AI concepts and techniques |
| Duration | Typically several weeks, varies depending on the pace of learning |
| Format | Online video tutorials, hands-on exercises, quizzes, and projects |
| Curriculum Highlights | Introduction to AI and its applications
Understanding machine learning algorithms Building AI models using Python and popular libraries like TensorFlow and Keras Hands-on projects using AI approaches to solve real-world challenges. |
| Instructor | Typically experienced AI professionals or educators |
| Prerequisites | Basic understanding of programming (Python recommended), familiarity with mathematics (linear algebra, calculus), and statistics |
| Learning Objectives | Gain a solid understanding of AI concepts and methodologies
Learn to implement various machine learning algorithms Acquire practical skills in building AI models and applications Develop the ability to solve real-world problems using AI techniques |
| Certification | Some courses offer certificates of completion |
| Platforms | Available on various online learning platforms like Udemy, Coursera, edX, etc. |
| Cost | Course prices vary; some platforms offer free trials or financial aid options |
9. Artificial Intelligence Course: Reinforcement Learning in Python (Udemy)
This course provides a comprehensive introduction to Reinforcement Learning (RL) concepts and algorithms using python, aimed at individuals with a basic understanding of Python and Machine Learning.Â
| Best AI Courses | |
| Course Title | Artificial Intelligence Course: Reinforcement Learning in Python |
| Platform | Udemy |
| Level | Intermediate |
| Language | English |
| Instructor | Lazy Programmer Inc. |
| Duration | Approx. 15 hours of on-demand video lectures |
| Prerequisites | Basic understanding of Python programming and machine learning principles. |
| Skills Developed | Understanding of Reinforcement Learning concepts and algorithms
Implementation of RL algorithms in Python using libraries like TensorFlow and OpenAI Gym |
| Certificate | Yes, upon completion of the course and passing the quizzes |
| Price | Varies, depending on Udemy promotions |
10. Master the Fundamentals of AI and Machine Learning (LinkedIn Learning- Lynda)
This course provides a solid foundation in AI and Machine Learning for beginners and serves as a stepping stone for further study or specialization in the field.Â
| Best AI Courses | |
| Course Title | Master the Fundamentals of AI and Machine Learning |
| Platform | LinkedIn Learning (formerly Lynda.com) |
| Instructor | Various instructors |
| Duration | Varies (typically several hours) |
| Level | Beginner to Intermediate |
| Topics Covered |
|
| Prerequisites | Basic understanding of mathematics and programming concepts would be helpful but not mandatory. |
| Skills Gained |
|
Top 10 Best AI Courses FAQs
What is the best AI course?
Master the Fundamentals of AI and Machine Learning on LinkedIn Learning is one of the best courses on AI, as it is a beginner-friendly course and covers almost every topic. Detailed information about the different courses is mentioned above in the article.
How many AI certificates and courses are there?
There are numerous courses on AI covering different domains such as robotics, machine learning, deep learning, and many more. Detailed information about the different courses on AI is mentioned above in the article.
Why is it suggested to learn AI?
Learning AI equips individuals with valuable skills that can lead to exciting career opportunities, drive innovation, and contribute to addressing societal challenges. A detailed analysis of the reasons to learn AI in this generation is mentioned above in the article.
