Top AI Certification Programs to Stay Ahead

Palak Sharma
4 min readSep 21, 2023

AI certifications are what you need post your graduation to stay ahead in the competitive job market and equip yourself with the specialized skills demanded by industries at the forefront of technological innovation.

In recent years, AI has rapidly advanced across various sectors like machine learning, natural language processing, computer vision, and robotics. The global AI market is projected to grow at a CAGR of 37.3% from 2023 to 2030, reaching USD 1,811.8 billion. Multiple factors fuel this rapid AI expansion.

  • Increased Computing Power
  • Big Data
  • Advances in Research
  • Open Source and Collaboration
  • Industry Adoption

Those in the IT industry cannot afford to be behind the eight ball. But, with so many changes, how do you know where to start with the most recent AI technology?

Getting certified in AI is an excellent method to hit the ground running. Artificial intelligence certifications will help you get up to speed on what AI is, how it functions, and how to successfully implement it in business. And given AI’s hot streak these days, there’s no shortage of AI certification and course options to choose from. Before learning about the types of AI certifications let’s first understand their advantages.

What are the key advantages of obtaining AI certifications?

Obtaining AI engineer certifications offer numerous benefits that will affect your profession as well as your personal growth and confidence in the continuously evolving field of AI. Here are a few advantages:

  • Embracing AI has become the mainstream norm in many businesses, with employers actively seeking personnel with AI knowledge. Earning an AI certification will help you stand out from other IT professionals and advance your career.
  • AI positions are not only in high demand in the business sector, but they also come with competitive pay packages. When it comes to hiring new employees, the AI industry is very competitive. Having a solid project track record, proper credentials, and a sizable portfolio can considerably increase your income potential.
  • Delving into the world of AI implies a steep learning curve. An AI certification combining instructional sessions, self-paced learning modules, and practical hands-on tasks.
  • The field of industrial technology has witnessed persistent rapid evolution, a trend that may be more prominent today than ever before. Obtaining certifications in unique processes and programs is critical in this industry transition to ensure you stay current with the latest AI technologies and breakthroughs.

Artificial Intelligence Certifications to Pursue in 2023

Several AI certifications are open to learners, but only a few should be your top choices in 2023.

👉IBM Applied AI Professional Certificate (Coursera)

This beginner-level certificate allows you to study and take courses at your rhythm.

Skills Gained:

  • AI
  • Machine Learning
  • Python
  • Chatbot
  • Deep Learning and many more

Whether you have technical skills or not, this course is a great fit for you. If you commit to spending 10 hours per week on it, you can anticipate finishing the course in three months.

👉Artificial Intelligence Engineer (AiE™) by ARTiBA

AiE™ is offered by the Artificial Intelligence Board of America (ARTiBA). Obtaining this certification will help you demonstrate your ability to create comprehensive AI and machine learning applications catering to a wide range of use cases with the highest level of credibility.

Skills Gained:

  • Natural Language Processing
  • Cognitive computing
  • Deep learning
  • Supervised/unsupervised learning and many more

To qualify for AiE™, you need to possess either an associate degree or a diploma in a related field and a minimum of two years of experience in that field. Having a bachelor’s or master’s degree in computer science, information technology, or a related field is acceptable, and work experience is not mandatory for individuals holding these degrees.

👉Artificial Intelligence: Reinforcement Learning in Python (Udemy)

This course teaches the application of gradient-based supervised machine learning models to reinforcement learning. It covers 17 reinforcement learning algorithms and demonstrates their implementation with the OpenAI Gym toolkit, requiring no code modifications.

Skills Gained:

  • Bridging reinforcement learning and psychology.
  • Addressing the explore-exploit dilemma via the multi-armed bandit problem.
  • Excelling in Markov decision processes and stochastic control.
  • Expertise in mean and moving average calculations for stochastic gradient descent and many more.

This course is designed for students and professionals interested in learning about AI, data science, machine learning, and deep learning.

👉Artificial Intelligence Professional Program (Stanford)

Stanford University offers the Artificial Intelligence Graduate Certificate, which provides a comprehensive look at AI and all it has to offer. It enables students to choose the AI courses they want to study during their learning experience.

Skills Gained:

  • NLP with deep learning
  • Machine learning
  • Modern AI techniques and many more.

To enroll in the certificate program, students need a Bachelor’s degree with a 3.0 GPA, knowledge of math (college-level calculus, linear algebra), and familiarity with programming languages (JavaScript, C++, Python).

Conclusion

When examining certification alternatives, it is critical to select the one that best meets your individual needs. Begin by assessing the AI abilities you wish to learn and finding the areas that most interest you. In addition, consider your availability and choose certifications that are online and have flexible schedules.

If you’re interested in natural language processing (NLP) and deep learning, for example, you could look into certifications like AiE™ or IBM. These programs are online and allow you to take exams at your own pace, making them an excellent choice for people with demanding schedules.

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Palak Sharma

Data Scientist — Keeping up with Data Science and Artificial Intelligence. AI/ML Enthusiast. #DataScience #BigData #AI #MachineLearning