Artificial intelligence is the future of the world. With man’s growing love for machines, this branch of science has opened up a brilliant career opportunity for millions of students globally.
AI, machine learning, deep learning, robotics, and computer vision are the most popular in today’s software industry. Many engineers understand the need for AI in their fields, and for that, they take up a few certification courses that act like a top-up to their degrees in software engineering.
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Many online and offline platforms provide these certifications. Take a look at the table below to learn about the top 20 AI certifications that will boost your career in 2023. These certifications are expert-suggested and have proven to provide positive growth in the careers of those who pursue them.
Why are certifications important?
Certificate courses are an add-on to your already-acquired knowledge in any field. Thus, they are a time-balanced activity that can provide the right direction for your career. Also, certificate courses are cheaper than degree courses. It’s difficult for anyone to study for 4-5 years before graduation and then enroll for another 4-5 years for a new course once technology updates.
As we know, technical fields renew themselves every year; therefore, making a successful career in them without being updated is out of the question. You will become stale if you do not update. Here is where certification courses come to your aid. For those working in the software industry, the following certification courses could be of interest:
How Do You Choose the Best Certification for You?
Since the AI markets are on the rise, they are expected to become saturated sooner too. So before you enroll yourself for any certification, you must go through the following checklist:
1. Check the reputation of the course. Pursuing a course just for the sake of pursuing it is a waste of your time. Never pursue any course from an unknown institute or a new university, as it will have no weight in the eyes of your employer.
2. Course Future and Support: The course you pursue should be supportive of your career trajectory. Do not go for outdated AI courses, as it will be a waste of your time and money.
3. Employment power: Check the employment power of your course. Various branches have different earning potential. Get certifications that are in high demand so that you get employed sooner based on that.
Top 20 AI Certifications to boost your career in 2023
Check out these top 20 certification courses in artificial intelligence. The courses are free as well as paid, but they are sure to impact your career positively.
|No.||Certification Course||Course Provider/Platform||Duration||Course fee|
|1||Computer Science for Artificial Intelligence||Harvard University (Offline)||Five months||$448|
|2||Certified Artificial Intelligence Scientist||United States Artificial Intelligence Institute||4 – 25 weeks||$894|
|3||Fundamentals of Google AI for Web-Based Machine Learning||12 weeks||$498|
|4||AI for Everyone||DeepLearning.ai||10 hours||Free (audit) on Coursera subscription or $49 (individual subscription)|
|5||Artificial Intelligence A-Z 2023: Build an AI with ChatGPT4||Super Data Science Team||17 hours||$16.58 per month (personal plan) or $139.99 course purchase fee|
|6||IBM AI Engineering Professional Certificate||IBM||8-10 weeks with classes at 10 hours a week||Free (audit) or Coursera subscription or $49 for individual course purchase|
|7||Artificial Intelligence Graduate Certificate||Stanford School of Engineering||1 to 3 years (with 3 years maximum time allotted)||$18,928 – $23,296|
|8||Artificial Intelligence Engineer (AIE) Certification Process by the Artificial Intelligence Board of America (ARTiBA)||ARTiBA||135 days + 45 days exam timeframe||$550|
|9||Artificial Intelligence: Business Strategies and Applications||UC Berkeley||8-10 weeks||$2,800|
|10||Microsoft Certified: Azure AI Engineer Associate||Microsoft||114 hours & 37 minutes||$165 for U.S. candidate|
|11||Artificial Intelligence: Business Strategies and Applications||UC Berkeley Executive Education and Emeritus||2 months with 4-6 hours per week||$ 2800|
|12||CS50's Introduction to Artificial Intelligence with Python||Harvard University||7 weeks long, 10-30 hours a week||$299.00 Certificate Available|
|13||Applied Machine Learning in Python||University of Michigan||4 weeks long, 25 hours worth of material||Free with membership|
|14||Deep Learning Applications for Computer Vision||University of Colorado Boulder||5 weeks long, 21 hours worth of material||Free course with paid certificate|
|15||Using GPUs to Scale and Speed-up Deep Learning||IBM||5 weeks long, 2-4 hours a week||Free online course (audit)|
|16||Computer Vision Fundamentals with Google Cloud||Google Cloud, Google via Coursera||2 weeks long, 19 hours worth of material||Free with paid certificate|
|17||Neural Networks and Random Forests||Learn Quest||3 week course||Free (audit)|
|18||Machine Learning Fundamentals||University of California, San Diego via edX||Self paced||$350|
|19||Understanding Artificial Intelligence through Algorithmic Information Theory||Institut Mines-Télécom via edX||5 weeks long, 4-8 hours a week||$59|
|20||Decision-Making for Autonomous Systems||Chalmers University of Technology via edX||7 weeks long, 10-20 hours a week||Free online course (audit) or $249 single course fee|
Career Post-Certification Courses:
AI is not a degree that you can pursue and then use to get work for the next 20 years. This is a field that will require you to remain a student.
But once you get into that zone and specialize in these courses, your career trajectory will grow sooner than you could ever imagine. As AI jobs are in high demand and are expected to rise by almost 150% by the year 2028, a higher salary and a better career graph can be expected from the updated engineers. So, taking up a certification course to stay updated every now and then is not a bad option.
We hope that the above information is helpful to those pursuing a career in artificial intelligence.
Read Also: What is ChatGPT and How to use this AI tool?