Key Information:
- Professionals from diverse industries like business, healthcare, and marketing are pivoting into AI by combining domain expertise with AI skills through online certifications and hands-on experience.
- Online AI certifications such as IBM’s Applied AI Professional Certificate, Coursera’s AI for Everyone, and Microsoft Azure AI Fundamentals offer accessible pathways for non-technical professionals to transition into AI roles.
- Quality AI certification programs are project-based, industry-recognized, and often include career support services like mentorship, job placement, and portfolio reviews to help learners become job-ready.
- To truly launch an AI career, learners must go beyond earning certifications by applying their skills to real-world projects, building a GitHub portfolio, and continuously upskilling to keep pace with evolving AI technologies.
Why Professionals Are Moving into AI
Did you know that the ideas for artificial intelligence (AI) started in the 1940s? However, it was only in 1956 that the term was coined at the Dartmouth Conference. By the 2020s, generative AI and its widespread use in the arts and sciences exploded.
Indeed, AI isn’t the tech-industry buzzword it once was. AI has transformed and continues to transform human society and impact diverse industries. In fact, every industry has its tech acronym for its AI version:
- fintech
- edtech
- legaltech
- agtech
No wonder then many professionals in a wide range of industries are pivoting into AI careers. It applies to the business, finance, marketing, and healthcare industries.
These professionals combine their domain expertise and AI skills through further education. Doing so boosts their career growth and income potential.
But going back to school and earning a degree in computer science or a related field isn’t always viable. Fortunately, you can explore the best AI certifications online. These certifications are an accessible way to upskill quickly.
If you’re interested in these certifications, read on. You’ll learn the top certifications, who they’re for, and how to choose the right one.
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Can You Really Switch to an AI Career with an Online Certification?
Yes, you can, especially if you choose the right AI certifications for career change. But AI certifications aren’t the silver bullet either. You must engage in strategic upskilling, complete projects, and choose a specialization. Doing so means standing out from the competition. The AI field is as competitive as it gets.
With that said, certifications are a great way to start your AI career on the right foot. Certifications validate your skills and, thus, build credibility, especially for self-taught learners.
But don’t treat certifications as collectibles either. You must also gain hands-on experience and build practical skills. Think capstone projects, portfolios, and case studies.
So, if you’re wondering how to switch careers to AI, combine theory (i.e., certifications) and practice. Better yet, go for certification programs that demand hands-on experiences.
Here are job titles that AI certifications can lead to:
- Machine learning engineer
- AI product manager
- Data analyst with AI tools
- AI ethics consultant
- Prompt engineer
You can also enjoy career flexibility as an AI professional. This can mean different things, too, such as being a specialist or generalist. You may also want to explore different industries and shift between different roles.
What to Look for in a Quality AI Certification
The best AI certifications online have these major characteristics in common.
Accreditation or industry recognition
Go for online AI courses with certificates offered by:
- Accredited institutions, such as colleges and universities (e.g., Stanford and MIT)
- Industry-recognized organizations (e.g., IBM and Google Cloud)
- Reputable online platforms (e.g., Coursera and edX)
Doing so means AI employers recognize your training and skills, too.
Project-based or hands-on curriculum
The best AI certifications online emphasize practical action over rote memorization. Choose programs that include real-world projects, case studies, and labs.
Industry-recognized tools and frameworks
Python, TensorFlow, PyTorch, and scikit-learn are among these tools and frameworks. You’ll gain real-world skills and, thus, be more job-ready.
Options based on skill level (e.g., beginner or advanced)
If you’re an AI beginner, it’s obvious that foundational courses are best. Then, as you gain more experience, go for more advanced certificates.
Career support
Look for effective and accessible mentorship, job placement, and portfolio review services.
Best Online AI Certifications for Beginners
Start your AI career journey with one or more of these certification programs.
AI For Everyone – Andrew Ng (Coursera)
This is the best artificial intelligence certification for beginners for many reasons. For starters, there’s no coding needed. As such, it’s a great program for non-technical professionals.
As introductions to AI go, it provides a high level of understanding of AI. Students learn what AI can and can’t do.
Google AI Education / Learn with Google AI
If you want to transition to AI career but are a non-techie, consider this one, too. Google offers a wide range of free modules and interactive lessons for non-techies. Even complex topics become more approachable with Google’s offerings.
It is particularly true for the machine learning and TensorFlow modules. Students gain both theoretical knowledge and practical skills.
IBM Applied AI Professional Certificate (Coursera)
IBM offers among the best AI certifications online that cover the basics. Students learn the Python basics and key AI tools. The program also includes completion of practical projects using IBM platforms and tools.
Indeed, if you’re looking for a solid entry point into AI, this is it. You can build your portfolio with meaningful projects.
Microsoft Azure AI Fundamentals
Microsoft also offers an AI certification for non-technical professionals seeking tech-adjacent roles. This is an introduction to AI and cloud-based implementation.
Top Intermediate to Advanced AI Certifications for Career Transitioners
AI bootcamps and certificates have a hierarchy, in a manner of speaking. Once you’ve learned the basics, you’ll want to move into the intermediate and advanced programs.
DeepLearning.AI TensorFlow Developer Certificate
If you already have some coding experience, consider this certificate program. Students must be familiar with Python and machine learning concepts.
It is also a highly respected certificate in the machine learning job market. It’s ideal for professionals seeking a career change to artificial intelligence.
Udacity AI Programming with Python Nanodegree
The program teaches foundational skills in Python, NumPy, Pandas, and PyTorch. Students complete real-world projects that develop their practical skills. The program also provides mentor support and feedback.
MIT xPro AI and Machine Learning Certificate
This more advanced program is targeted at professionals with a STEM background. Students tackle advanced topics in AI and ML theory.
There’s also a strong focus on real-world problem-solving. Students apply theory through simulations and case studies.
HarvardX: Data Science and Machine Learning Certificate (edX)
The program covers Python, data wrangling, and modeling, among others. The prestigious Harvard brand makes it a sought-after certification program. But it isn’t about the glitter only — students gain a solid foundation for more specialized AI roles.
AI Certifications with Career Coaching and Job Support
Springboard AI/Machine Learning Career Track
The program offers 1:1 mentorship with industry professionals. Completers also have a job guarantee, which career switchers appreciate. The structured pathway means students get from zero to job-ready quickly.
CareerFoundry AI Specialist Program
Students receive career coaching services and mentorship. The program is geared toward non-techie professionals interested in data and product roles.
These AI certificate programs tend to be more expensive. Costs start at $6,900 for CareerFoundry’s program, for example. But their higher return on investment makes them worth the money and time.
Specialized Certifications for Niche AI Career Paths
Do you want to combine your domain expertise and AI-specialized skills? If yes, you may want to consider these specialized certifications.
AI in Healthcare (Stanford Online or Coursera)
Medical professionals who want to integrate AI into their practice should consider it. Clinicians, healthcare administrators, and researchers are ideal candidates. Students learn from expert Stanford faculty with years of experience in AI and medicine.
AI in Marketing (Darden School of Business)
Marketers seeking to understand personalization, automation, and data use in campaigns are welcome. Students learn how AI tools can transform digital marketing. No prior coding experience needed.
Responsible AI and Ethics (edX / UC Berkeley)
The program addresses the growing need for AI ethics officers and consultants. This is also useful for professionals blending domain expertise with AI knowledge.
How to Maximize the Value of Your Certification
The rise of online learning for AI jobs means that it’s easier than ever to earn certifications. But completing certification programs isn’t enough either. You must do more to maximize their value and stand out from the job competition.
Apply skills to personal or freelance projects.
Build your portfolio through personal AI projects. Better yet, offer your AI skills to local organizations.
Build a GitHub portfolio.
Showcase your practical AI skills by uploading code and notebook.
Join AI communities or Slack groups for networking.
Networking can lead to employment and collaboration opportunities.
Tailor your LinkedIn profile and resume to highlight certification impact.
Every job application must have its tailored supporting documents.
Combine certifications with micro-internships or volunteer work, if possible.
Quality of engagement matters, too. Highlight the practical skills you’ve gained during your engagements.
Final Thoughts: Turning Certification into an AI Career
Earning the best AI certifications online is only the beginning. What matters most are action and application of your AI skills. For this reason, you must combine learning with real-world practice.
Don’t stop with whatever certifications you’ve already earned, either. AI and its tools evolve rapidly, so continuous learning is a must. Be curious and adaptable, and be in tune with the trends. Be prepared to learn, unlearn, and relearn throughout your AI career.
Also, your prior experience and expertise in whatever domain isn’t wasted either. After all, AI thrives on domain knowledge.