part 7 With the AI and Tech Career series
Welcome to Part 7 of AI and Tech Career, DICE's 10-part series explores ways to leverage artificial intelligence (AI) and machine learning (ML) to drive your technology career journey. We'll explore everything from the required AI careers and essential AI skills to industry applications and the hottest AI Tech hubs. Building your dream tech career is out of reach and AI is your key!
As you know, the AI and ML landscape has experienced explosive growth, restructuring the industry and surge in demand for qualified professionals. With the rapid emergence of new use cases and applications, the AI specialization and capabilities organizations are looking for are constantly evolving. This makes the key areas of AI and ML a major area to consider when pursuing certification for developing a technology career. The value of certification has been a topic of discussion among technical experts, but there are compelling reasons to consider them, especially when it comes to AI.
What AI Certification Can Do for You
- Certification with AI or ML can inspire new opportunities, such as significantly increasing your resume and door and providing better opportunities to encourage new roles.
- Accreditation validates knowledge, demonstrates commitment to the field, and acquires practical skills that employers seek.
- Certification offers structured AI Learning Ensure a solid foundation for paths, core concepts and best practices.
- AI certification introduces potential employers to expertise and gives them a competitive edge in the job market.
Many certifications include hands-on projects, allowing you to build a portfolio that can be used to demonstrate hands-on skills.
So which certification should you consider? Let's explore some of the most popular options.
The best certification to consider
1. Google Professional Machine Learning Engineer Certified
2. Microsoft Certified: Azure AI Engineer Associate
3. AWS Certified Machine Learning Specialty
4. IBM Certified Machine Learning Specialty Certificate
- explanation: Offered at Coursera, this comprehensive program provides a solid foundation for machine learning fundamentals, from supervised, unteached learning to deep learning and natural language processing.
- Why does it help: This vendor neutral certification provides a wide range of ML skills that can be applied to a variety of platforms and tools.
- Where to get it: Coursera https://www.coursera.org/
- Fee: It depends on your registration options (usually about $40 per month)
- detail: https://www.coursera.org/professional-certificates/ibm-machine-learning
5. Certified Artificial Intelligence Scientist (CAIS)
How Dice can help your AI career
The landscape of AI and machine learning certifications is constantly evolving, with new products constantly emerging. Before choosing certification, carefully consider your interests and the skills you want to develop. The best choice for you will depend on your level of experience and most importantly, your career goals.
In itself, certification is valuable in the way that supports your experiences you get to achieve it and your continued commitment to building new skills and capabilities. However, it is convenient to consider all certifications in the career context. How can it help you move forward compared to your next role and then your subsequent role? How can it help you build on your portfolio of skills in a way that will better position you for future leadership roles? What can you add to the pursuit of certification that can tell a stronger story about why you are worthy of the organizations you are most interested in participating in? By answering these questions, you can make the right choice with the following AI and ML certifications:
Dice is another Uber-elpful resource in terms of understanding the pros and cons of certification, how to fit into a broader career plan, and how to integrate AI and ML skill building into your career portfolio. Whether we are actively looking for the next job or are looking to develop a high-tech career in our current company, somewhere in between, we are a career marketplace built for technology professionals, whether you know what you are going through or not.
For more information about the dice and how to get started:
We hope you enjoy Part 7 of our AI and your Technology Career Series. To read the complete series and take the lead in your AI career, check them out at the links below.
Part 1: Uncovering career opportunities for AI: key roles and emerging hybrid jobs in artificial intelligence
Part 2: Essential AI Skills for a Prosperous Career in Technology: Python, Tensorflow, Neural Networks, etc.
Part 3: AI Employment Demand Analysis: Current Trends and Future Outlook in Artificial Intelligence Careers
Part 4: Migrating to AI: An additional repertoire of artificial intelligence and machine learning skills
Part 5: Charts for AI Technology Career Pathway: Navigating from Entry to Senior Level
Part 6: How AI is revolutionizing: The impact of real-world applications and talent
Part 8: AI Tech Hubs: Top U.S. Cities for AI and Machine Learning Jobs
Part 9: The Future is Intelligent: Technology Employment Transformed by AI and Machine Learning
Part 10: How to Think About AI: A Tech Expert Guide to Growth, not Fear
