Artificial intelligence (AI) is one of the major essences of research strategies in computer science since the start of the field. In recent years artificial intelligence has emerged in research and computation. Moreover, the IT sector has the power that has made AI development more accessible for developers. The need for Artificial Intelligence Professionals has increased to such an extent that it has become a good career option for people who are interested in the technical field. It is suggested that AI professionals should have strong computer skills as well as programming skills like C++ and an understanding of the algorithms.
Roles and Responsibilities
The major responsibility of an AI Developer is to solve numerous problems related to Artificial Intelligence (AI) and the techniques used to make AI solve problems. Furthermore, these professionals have high technical skills as well as problem-solving and decision-making skills. Due to the great demand for AI professionals, we’ll discuss how to start your career in artificial intelligence by discussing various online certification courses further in this blog.
10 Best Artificial Intelligence Certification and Online Courses to start your career in 2022
Understanding the significance and the need to choose the right learning path to become an Artificial Intelligence Professional. It is surely not an easy track to take but it is neither impossible. The important point to focus on is whether you choose the correct path or not. The web is loaded with diverse courses but choosing the right one which satisfies your requirements is a difficult task. Therefore, we along with our experts have researched and tried to present you with our best knowledge regarding the 10 Artificial Intelligence Certification and Online Courses in 2022. So without wasting any more time below are some of the best and latest certification courses that you desire.
Now, let’s discuss the Top 10 Artificial Intelligence Certification and Online Courses to jumpstart your career in 2022!
1. Vskills Certified Artificial Intelligence Professional
This Vskills Certified Artificial Intelligence Professional course is specially intended for students who want to learn Artificial Intelligence and desire to work in the field of software or IT development. The best part of this certification is that it is recognized by the Government of India. Moreover, web developers and programmers can take up this course to build their career opportunities and it has been proven that Vskills certified professionals are highly regarded by various reputed companies. In this certification course, you will learn the basis of Artificial Intelligence (AI) and the techniques used to make AI solve problems. Overall, this is a very good course for beginners and will open enormous opportunities for you.
Course Outline:
- INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND JAVA
- EXPLORING SEARCH
- AI GAMES AND RULE BASED SYSTEM
- INTERFACING WITH WEKA
- HANDLING ATTRIBUTES
- SUPERVISED LEARNING
- SEMI-SUPERVISED AND UNSUPERVISED LEARNING
Reasons to take this course:
- Vskills is a Government Certified body that adds value to your resume itself.
- The Certification is valid throughout your life.
- No prior knowledge required.
- Get access to free Practice Tests.
- Both Professionals as well as begineers can take this course without any second thought.
- Candidates get tagged as ‘Vskills Certified’ On Monsterindia.com and ‘Vskills Certified’ On Shine Shine.com for better job opportunities.
- This course is available online including online learning material and hard copy at your door steps.
- You can take your exam at any time of your convenience.
- 13 fruitfull Learning hours.
More Details:
Duration of Course: 13 hours
Rating: 5 out of 5
2. Artificial Intelligence (Northwestern | Kellog School of Management)
This program is specially designed for experienced executives, managers, and consultants. It is also well suited for investors seeking a deeper understanding of AI. This online program claims that you will accumulate a broad perspective on how Artificial Intelligence is used in practice across institutions, enterprise functions, and a collection of industries. In addition, you will learn how to implement an AI initiative as well as learn to address challenges related to responsible and trusted AI. Also, upon successful completion of the program, Kellogg Executive Education grants a verified digital certificate of completion to participants.
Course Outline:
- The AI Revolution: Trends, Tools, and Applications
- AI and Customer Experience Management
- AI and Operations Management
- Transforming Your Business with AI: Strategy and Capabilities
- AI and Business Support Functions
- AI Applications in Select Industries
- Transforming Your Business with AI: Organization and Society
- AI Applications in Autonomous Vehicles and Transportation
Reasons to take this course:
- Learn from the best institution.
- Understand the business applications and outcomes.
- Work with real-life-based data.
- Get a dedicated support team.
More Details:
Duration of Course: 2 months
Rating: 4.5 out of 5
3. Post Graduate Certificate Program in AI and Machine Learning (IBM – Purdue University)
This postgraduate program is designed in collaboration with IBM. This course claims that learners will learn key concepts like Statistics, Machine Learning, Deep Learning, NLP, and Reinforcement Learning. It is also ranked number 1 in AI and Machine Learning course by TechGig. Moreover, this program will also provide you with Purdue Alumni Association membership, 25+ hands-on projects, enrollment in Simplilearn’s job assist, and capstone projects.
Course Outline:
- Python for Data Science
- Data Science for Python
- Machine Learning
- Deep Learning with Tensorflow and Keras
- Advanced Deep Learning and Computer vision
- AI and Machine Learning capstone project, and many more
Reasons to take this course:
- Hands-on, applied projects and online labs
- 24/7 learning support and access to learner forums
- Master the concepts of Deep Learning
- 3 Capstones and 25+ Projects with industry data sets
More Details:
Duration of Course: 1 year
Rating: 4.7 out of 5
4. Designing and Building AI Products and Services (MIT xPRO)
This course is offered by MIT and is meant for technical product leader, technology professional, a technology consultant who wants to enhance their knowledge of AI technology fundamentals and tools and explore various design processes involved in AI-based products. Moreover, you should have prior knowledge of calculus, linear algebra, statistics, and probabilities. The course claims that you will learn about the key concepts of AI technology and learn various machine learning models that will help you design AI products. By the end of this course, you will receive a certificate from MIT xPRO recognizing your skills and success.
Course Outline:
- Introduction to the Artificial Intelligence Design Process
- Artificial Intelligence Technology Fundamentals – Machine Learning
- Artificial Intelligence Technology Fundamentals – Deep Learning
- Designing Artificial Machines to Solve Problems
- Designing Intelligent Human-Computer Interaction (HCI)
- Superminds: Designing Organizations that Combine Artificial and Human Intelligence
- Marketplace Frontiers of AI Design: Research
- Marketplace Frontiers of AI Design: Practice
Reasons to take this course:
- Gain knowledge of the fundamentals of the machine and deep learning algorithms
- Design AI products to solve organizational issues
- Apply machine learning methods
- Get understanding of data analytics
More Details:
Duration of Course: 8 weeks
Rating: 4.6 out of 5
5. Machine Learning AI Certification by Stanford University (Coursera)
This is one of the most famous online Artificial Intelligence courses that is offered by Coursera in collaboration with Stanford University. You’ll learn about the theoretical underpinnings of learning and also gain the practical knowledge required that will allow you to quickly and powerfully apply these strategies to new problems. In the end, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI. Overall, this is a very good course if you are a beginner and will help you brush up your concepts if you’re a professional already working in this field.
Course Outline:
- Introduction
- Linear Regression with One Variable
- Linear Algebra Review
- Octave/Matlab Tutorial
- Linear Regression with Multiple Variables
- Logistic Regression
- Regularization
- Neural Networks: Representation
- Neural Networks: Learning
- Advice for Applying Machine Learning
- Machine Learning System Design
- Support Vector Machines
- Unsupervised Learning
- Dimensionality Reduction
- Anomaly Detection
- Recommender Systems
- Large Scale Machine Learning
- Application Example: Photo OCR
Reasons to take this course:
- Meaningful Predictive Modeling
- Deploying Machine Learning Models
- Real-world based case studies give you the opportunity to understand how problems are solved
- No deadlines
- No prior experience required
More Details:
Duration of Course: 61 hours
Rating: 4.9 out of 5
6. Artificial Intelligence A-Z™: Learn How To Build An AI (Udemy)
Udemy is one of the most famous as well as reputed online study platforms that offers numerous courses on various subjects. This Artificial Intelligence course is quite a good course and is also termed as one of the bestsellers in this study field. This course will lead you to have a deep understanding of the key concepts of AI and give you an in-depth understanding of Deep Q-Learning. Moreover, students are required to have basic knowledge of Python and have mathematics in their high school to understand the concepts with more clarity and utmost perfection.
Course Outline:
- Fundamentals
- Q-Learning intitution
- Q-Learning Visulaization
- Deep Q-Learning intitution
- Deep Q-Learning Implementation
- Lastly, Deep Q-Learning Visulaization, and so on.
Reasons to take this course:
- Get lifetime access to the video lectures.
- Learn from the best instructors.
- Get the courses at a very nominal price.
- Learn at your own pace.
- Get assessment test to validate your skills.
More Details:
Duration of Course: 16.5 out of 5
Rating: 4.3 out of 5
7. Machine Learning: Fundamentals and Algorithms (Carnegie Mellon University)
This course is prepared by the professionals at Carnegie Mellon University which is itself a very reputed institution and whose certification will add value to their resume and give them high career opportunities. Moreover, this program is specially developed for participants who have experience with Python programming and want to learn better about the underlying mathematics that is involved in machine learning algorithms. You will also use and learn more about the concepts from probability, statistics, linear algebra, calculus, and optimization to describe and refine the internal workings of machine learning algorithms.
Course Outline:
- Decision Trees
- K-Nearest Neighbor
- Model Selection
- Linear Regression
- Optimization
- Binary Logistic Regression
- Regularization
- Neural Networks
- Backward Propagation
- K-Means and Others Learning Paradigms
Reasons to take this course:
- Be able to implement and analyze learning algorithms
- Learn how to work with analytics
- #1 in Artificial Intelligence Specialty and Graduate Program
- Use concepts from probability, statistics, linear algebra, calculus and optimization
More Details:
Duration of Course: 10 weeks
Rating: 4.6 out of 5
8. The Business of AI (London Business School)
This Business related AI program is offered by the London Business School and will help you build the capabilities to make smart decisions about AI and create real value for your business. This program is designed for managers and executives. In this course, you will achieve a substantial understanding of AI technology’s various characteristics and clarity regarding the business challenges in your organization. Moreover, you’ll gain a solid understanding of the characteristics of the technology.
Course Outline:
- The business value of AI
- What are AI and machine learning?
- The possibilities of AI
- Leveraging AI to create value
- Building AI capability
Reasons to take this course:
- Learn from the reputed London Business School
- Examine positive and negative experiences that you may encounter while applying AI applications
- learn how to implement it in your business to reduce costs
- Receive feedback via a live online clinic
More Details:
Duration of Course: 10 weeks
Rating: 4.6 out of 5
9. Artificial Intelligence: Implications for Business Strategy (MIT Management Executive Education)
This online short course is specially meant to build your practical knowledge in artificial intelligence (AI) and its business applications. Moreover, you’ll get identified for your knowledge with a certificate of completion from the MIT Sloan School of Management, one of the world’s leading business schools. The course will cover six modules that are focused on specific areas of AI, such as NLP, Robotics, and the Future of Artificial Intelligence. By the end of the course, you’ll be able to develop and implement AI applications to your business processes.
Course Outline:
- An Introduction to Artificial Intelligence
- Machine Learning in Business
- Natural Language Processing in Business
- Robotics in Business
- Artificial Intelligence in Business and Society
- The Future of Artificial Intelligence
Reasons to take this course:
- Build a framework for an organization to gain strategic advantage
- Gain verifiable and relevant competencies
- Earn invaluable recognition from an international selection of universities
More Details:
Duration of Course: 6 weeks
Rating: 4.5 out of 5
10. Learn from ML experts at Google (Google AI)
This course will help you to develop your skills and learn how to identify and prepare data sources, and review guidelines on how to develop and utilize ML responsibly. You will begin the course by describing your current experience level, the kind of content that you are looking for and the stage of ML development, and the website will present appropriate material for you. Moreover, get the opportunity to learn the basic terminologies of AI and ML, and get to perform various assessments.
Course Outline:
- Introduction to AI and machine learning
- Examples of what AI and ML can do
- Introduction to machine learning problem framing
- Data sourcesUsing AI responsibly
- Accessing the right skill set
- Getting started with machine learning
Reasons to take this course:
- Work on the fundamental techniques with the help of examples.
- Learn tips and techniques along with assessments.
- Learn and get certified from Google.
More Details:
Duration of Course: Self-paced
Rating: 4.5 out of 5
Congratulations! You have now reached the end of this blog. We hope you went through each and every course very thoroughly and are very clear with the career path that you want to follow to become an AI Professional. It’s our pleasure if we could help you make your decision. All the best and Happy Learning!
