Part 7 in the AI and Your Tech Career Series
Welcome to Part 7 of "AI and Your Tech Career," Dice's 10-part series exploring how to leverage Artificial Intelligence (AI) and Machine Learning (ML) to propel your tech career journey. We'll delve into everything from sought-after AI careers and essential AI skills to industry applications and the hottest AI tech hubs. Building your dream tech career is within reach, and AI can be your key!
As you know, the AI and ML landscapes are experiencing explosive growth, reshaping industries and creating a surge in demand for qualified professionals. With new use cases and applications emerging rapidly, the AI specializations and competencies sought after by organizations are constantly evolving. This makes AI and ML prime areas to consider when pursuing certifications to develop your tech career. While the value of certifications has been a topic of debate among tech professionals, there are compelling reasons to consider them, particularly when it comes to AI.
What an AI certification Can Do for You
- Earning a certification in AI or ML can significantly boost your resume and open doors to exciting new opportunities, including giving you a better chance to pivot into new roles.
- Certifications validate your knowledge, demonstrate your commitment t o the field, and equip you with the practical skills employers seek.
- Certifications provide a structured AI learning path, ensuring you have a solid foundation in the core concepts and best practices.
- AI certifications also showcase your expertise to potential employers, giving you a competitive edge in the job market.
Many certifications include hands-on projects, allowing you to build a portfolio you can use to demonstrate your practical skills.
So, which certifications should you consider? Let's explore some of the most popular options:
Top Certifications to Consider
1. Google Professional Machine Learning Engineer Certification
- Description: This certification validates your ability to design, develop, and deploy machine learning models on Google Cloud Platform (GCP) using TensorFlow. It’s crucial for machine learning engineer jobs and anything having to do with cloud platforms for AI.
- Why it's useful: GCP is a leading cloud platform for AI and ML, making this certification highly sought-after by employers.
- Where to obtain it: Google Cloud https://cloud.google.com/
- Cost: $200 USD
- More info: https://cloud.google.com/learn/certification/machine-learning-engineer
2. Microsoft Certified: Azure AI Engineer Associate
- Description: This certification assesses your skills in designing and implementing AI solutions using Microsoft Azure AI services.
- Why it's useful: Microsoft Azure is another major player in the cloud AI landscape, and this certification demonstrates your proficiency in its tools and services. It’s also helpful for any job involving cloud platforms for AI, such as Azure AI engineer jobs.
- Where to obtain it: Microsoft Learning https://learn.microsoft.com/en-us/credentials/
- Cost: $165 USD
- More info: https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/
3. AWS Certified Machine Learning Specialty
- Description: This certification validates your expertise in applying AWS services to build, train, and deploy machine learning models at scale, especially in the context of cloud platforms for AI.
- Why it's useful: Amazon Web Services (AWS) is the world's leading cloud platform, making this certification a valuable asset for those specializing in cloud-based AI solutions, especially machine learning architect jobs.
- Where to obtain it: Amazon Web Services (AWS) Training and Certification https://aws.amazon.com/certification/certified-machine-learning-specialty/
- Cost: $300 USD
- More info: https://aws.amazon.com/certification/certified-machine-learning-specialty/
4. IBM Certified Machine Learning Professional Certificate
- Description: This comprehensive program offered on Coursera provides a solid foundation in machine learning fundamentals, from supervised and unsupervised learning to deep learning and natural language processing.
- Why it's useful: This vendor-neutral certification equips you with a broad range of ML skills applicable across various platforms and tools.
- Where to obtain it: Coursera https://www.coursera.org/
- Cost: Varies depending on enrollment options (typically around $40 USD per month)
- More info: https://www.coursera.org/professional-certificates/ibm-machine-learning
5. Certified Artificial Intelligence Scientist (CAIS)
- Description: This certification targets senior AI professionals and business leaders, focusing on understanding the strategic application of AI and the ability to manage AI projects effectively.
- Why it's useful: If you're looking to lead or oversee AI initiatives within your organization, this certification sets you apart by demonstrating your strategic AI knowledge.
- Where to obtain it: USAI Institute https://www.usaiinstitute.org/
- Cost: $894 USD
- More info: https://www.usaii.org/artificial-intelligence-certifications/certified-artificial-intelligence-scientist
How Dice Can Help You with Your AI Career
The landscape of AI and machine learning certifications is constantly evolving, with new offerings emerging all the time. Carefully consider your interests and what skills you want to develop before selecting a certification. The best choice for you depends on your experience level and, most importantly, your career goals.
By itself, a certification is valuable in the experience you gain in attaining it, and in the way that it supports your ongoing commitment to building new skills and competencies. It’s useful, however, to look at every certification in the context of your career. How does it help you move forward relative to the next role you want, and maybe even the role after that? How does it help you build on your portfolio of skills in a way that could better position you for leadership roles in the future (if you have your eye on that path)? What could you add to the pursuit of the certification that allows you to tell a stronger story about why you’re valuable to the organizations you’re most interested in joining? Answering these questions can ensure you are making the right choice with your next AI and ML certification.
Dice is another uber-helpful resource when it comes to understanding the pros and cons of certifications, how they can fit into your broader career plan, and how to integrate AI and ML skill-building into your career portfolio. Because we are a career marketplace built exclusively for tech professionals, whether you’re actively seeking your next job, looking to develop your tech career at your current company, or somewhere in between, we know what you’re going through and we’re here to help.
For more information on Dice and how to get started:
- Check out our AI Careers and Resource Center, our hub for AI-focused content for tech professionals
- Learn more about Dice here
- How to create your Dice profile
- Search for AI and other tech jobs
We hope you enjoyed Part 7 of our AI and Your Tech Career Series! To read the full series and take command of your career in AI, view them on the links below.
Part 1: Unveiling AI Career Opportunities: Key Roles and Emerging Hybrid Jobs in Artificial Intelligence
Part 3: AI Jobs Demand Analysis: Current Trends and Future Outlook in Artificial Intelligence Careers
Part 4: Transitioning into AI: Adding Artificial Intelligence and Machine Learning Skills to Your Repertoire
Part 5: Charting AI Tech Career Pathways: Navigating From Entry to Senior Level
Part 6: How AI is Revolutionizing Industries: Real-World Applications and Talent Implications
Part 8: AI Tech Hubs: Top U.S. Cities for AI and Machine Learning Jobs
Part 9: The Future is Intelligent: Tech Jobs Transformed by AI and Machine Learning
Part 10: How to Think About AI: A Tech Professional’s Guide to Growth, Not Fear