Stepping into the realm of Machine Learning and AI certifications is like entering an ever-expanding universe of knowledge. With the tech community buzzing about the latest developments, it’s no surprise that there’s a constant stream of new courses and certifications. Choosing the right path can feel like navigating through a maze, given the sheer volume and variety out there.
We’ve taken a closer look at the plethora of options available and handpicked a selection of certifications and courses that really stand out for their depth, relevance, and the value they bring to your career in AI and ML. Remember, the landscape is vast and the offerings are diverse, with costs that can vary widely depending on where you’re based. That’s why we encourage you to visit the official websites for the most accurate and detailed information regarding prices and offerings.
Consider this list a friendly nudge in the right direction, tailored for anyone eager to deepen their understanding or carve out a niche in the AI and ML fields.
Take a moment to explore these recommendations and find the right fit for your journey in the exciting world of artificial intelligence and machine learning.
1. EITCA AI/Artificial Intelligence Academy
This vendor-neutral certificate provides a broad understanding of AI concepts, applications, and ethical considerations. There are several options and specializations to choose from and the price range goes from 110 to 1200 euros depending on the specific certification.
2. TensorFlow Developer Certificate
This program equips learners with practical skills in building and deploying machine learning models using TensorFlow, a popular open-source framework that has become one of the pillars of machine learning development. The exam cost for the certification is 100 dollars.
3. Linux Foundation Data and AI Fundamentals (LFS115x)
The Data and AI Fundamentals (LFS115x) course offered by the Linux Foundation is designed to introduce professionals and students to the world of Artificial Intelligence. It covers AI fundamentals, accessible to both technical and non-technical audiences, and provides insights into various AI technologies like machine learning and NLP. This self-paced online course includes 4-5 hours of material, with the option for a paid certificate of completion. The course is free to enroll, with additional resources available for those who opt for the verified track.
Certificate cost: €174
4. Google Cloud Professional Machine Learning Engineer
The Professional Machine Learning Engineer certification recognizes individuals skilled in developing, deploying, and managing machine learning models using Google Cloud. These engineers are adept at working with large datasets, writing reusable code, and applying ethical AI practices. They possess strong programming skills, understand model architecture, data pipelines, and are knowledgeable in MLOps, data engineering, and governance.
The registration fee for the course is approximately €200 depending on your area. Before attempting the certification exam, Google Cloud recommends getting some real world experience.
5. IBM Professional Certificate in Artificial Intelligence
Offered through Coursera, this program delves into core AI concepts, machine learning, and deep learning. This is a beginner course that aims at the most requested job positions in the market (Data Scientists and Data Architects). Cost: ~$49 per month subscription. The course includes the IBM certification when finished.
6. AWS Certified Machine Learning Specialty
This certificate doesn’t include the course, so make sure you have real world experience in the topic and to check the exam guide and resources made available by AWS. This certifications validates expertise in designing, developing, and deploying machine learning solutions on the Amazon Web Services (AWS) platform. To obtain the certification you have to pass a test that consists in 65 questions in 180 minutes. Cost: ~$300 (USD).
7. Microsoft Certified: Azure AI Engineer Associate
As an Azure AI engineer with expertise in Python and C#, this certification validates your knowledge in developing comprehensive and secure AI solutions. You must be familiar with Azure AI’s components, data storage options, and committed to applying principles of responsible AI. Before taking the exam, be sure to take the Learning Path offered by Microsoft, you can do it on your own or search for an instructor.
Cost: ~$165 (USD).
8. MIT Pro – Designing and Building AI Products and Services
The MIT xPRO course on Designing and Building AI Products & Services is tailored for tech professionals and entrepreneurs eager to deepen their AI knowledge. This 8-week program focuses on AI design principles and applications across industries, guiding participants to propose AI-based products. It covers the design stages of AI products, machine and deep learning fundamentals, and practical problem-solving, aiming to equip learners with skills to automate tasks, analyze data, and enhance customer engagement. Ideal for technical product managers, technology professionals, consultants, startup founders, and UI/UX designers, it requires a background in calculus, linear algebra, statistics, probability, and Python.
Course cost: $2.950
9. BCS, The Chartered Institute for IT Certifications
This institute offers different programs that focus on many aspects of working with AI. It’s not only about the technical aspect, as you can also become certified in the Ethical Build of AI. It’s based on self learning courses that can be made online before attempting the certification exam.
10. AI Certifications by deeplearning.ai
This platform offers different training courses and approaches that aim to boost the users skills in all things AI. You can choose between short courses and specializations ranging from beginner introductions to prompt engineering to more complex and complete long courses in Machine Learning and Mathematics for Data Science. Some of the courses are also available on Coursera.
Additional Considerations:
- Relevance: Choose AI certifications aligned with your specific career goals and the type of AI work you wish to pursue.
- Vendor Neutrality: Consider vendor-neutral certifications for broader career options, while vendor-specific ones might be valuable if you plan to work with a particular platform.
- Cost and Time Commitment: Be mindful of the investment required for each certification, including exam fees and learning resources.
Remember, certifications are valuable tools to showcase your knowledge and commitment to continuous learning in the dynamic world of AI. By carefully selecting the right program and investing in your skill development, you can position yourself for success in the AI landscape.
