5 Tech Careers that Leverage AI

Artificial intelligence (AI) has brought about a glut of career opportunities across industries – and it shows no signs of stopping.
Building AI skills can open doors to a new career. Below are five tech roles that leverage AI’s potential.

Data Scientist and Business Intelligence (BI) Analyst
Two tech roles that sound similar are Data Scientist and Business Intelligence Analyst. Both roles make use of AI and machine learning to boost efficiency and productivity by reducing human error and offering better insights to make smarter decisions.
• Data Scientists focus on using insights from data to predict future outcomes, drive strategic decisions and come up with fresh solutions using complex algorithms, machine learning/AI and statistical models.
• BI Analysts examine data to improve a company’s position in the marketplace and propel data-driven decision-making.

How to Land a Data Scientist or BI Analyst Role
People interested in a data role can choose from various career paths. Earning your CompTIA Data+ certification is a helpful step; the certification covers data mining, visualization, governance and other related topics.

Computer Coach offers a data bootcamp that gives you a chance to master tools like SQL Server, Power BI and Python, while gaining a strong foundation in AI and prompt engineering.

AI Auditor
An AI auditor inspects how AI systems work and helps make sure AI systems are doing what they’re supposed to. An AI auditor reviews how an AI system was built, the data used, how decisions are made, and whether it follows rules and meets ethical standards.

How to Land an AI Auditor Role
A strong AI background can be advantageous for AI auditors. Knowing about machine learning, data and algorithms is a great start. In terms of non-technical skills, familiarize yourself with privacy laws like Europe’s General Data Protection Regulation (GDPR) and the EU AI Act. Study compliance, data privacy and cybersecurity concepts.

Earning certifications like ISACA’s Computer Information Systems Auditor (CISA) proves your knowledge of the information systems (IS) auditing process, IT governance and management, protection of information assets and more.

AI Cloud Solutions Architect
An AI cloud solutions architect designs an AI system in the cloud using platforms like AWS or Microsoft Azure. The systems are designed to be smart, scalable, and ready for real-world use, while ensuring AI-powered applications run smoothly. Doing that calls for selecting machine learning models, data tools, and cloud services.

Solution architects map out data flows, ways to train and use AI models, and how everything lives in the cloud securely and efficiently. They collaborate with developers, data scientists, and engineers to bring the system to life while keeping an eye on performance, security, cost, and scalability.

 
Landing an AI Cloud Solutions Architect Role
Earning your AWS Certified Cloud Solutions Architect – Associate certification lets you focus on designing cloud computing systems in AWS; you can also opt for AWS Certified AI Practitioner to supplement your AI and machine learning knowledge. You can also earn your Azure Solutions Architect Expert and Azure AI Engineer Associate certifications.

AI Project Manager
AI project managers combine project management and technical skills. They plan, organize and manage AI/machine learning projects to be delivered on time and on budget within the scope of work. Successfully managing an AI project calls for the ability to navigate technical and complex issues while ensuring smooth execution.

Finding Work as an AI Project Manager
While earning the Project Management Professional (PMP) certification can confirm your ability to run projects, technical knowledge can help you manage two sides of a project equation – IT experts and business leaders. Familiarity in AI and machine learning concepts, as well as natural language processing (NLP), and data analysis can also be beneficial.

If you’d like to earn your PMP certification, Computer Coach has a comprehensive program designed to master the core project management skills you need to excel.

Computer Vision Engineer
Computers can learn how to interact with the physical world thanks to computer vision engineers. Systems are designed to be smart enough to recognize faces, read license plates, detect objects, track movement and more.
Engineers clean visual data from photos, videos, or live feeds so it can be used by machines. AI and machine learning tools help make a computer smarter by learning how to recognize and understand patterns.

How to Find Work as a Computer Vision Engineer
A background in programming languages such as Python, and an understanding of how images are stored, processed and analyzed can qualify you for computer vision engineering roles. Mastering machine learning and deep learning for vision using neural networks is recommended.

If you’re ready to gain the skills you need for today’s job market, Computer Coach can help. Whether it is technology or business, we can make sure you’re prepared for your next opportunity. Learn more.

Whether you're looking to switch careers or take the next step in your current career, our certified career coaches & strategists can help you explore a wide range of possibilities and learn how our training courses can help you reach your career goals. 

5005 N. Hesperides Street
Tampa, Florida 33614

(813) 947-0552

Copyright © Your Company.  All Rights Reserved.