Top 10 Skills for AI Engineer/AI Ops Engineers
34mBeginner2023-08-31
Authors

Ben Sullins
Data Geek, Tech Consultant
Free the Data Academy
Data Analytics Training Company
Course details
Check out the Top 10 Skills series, where career experts and LinkedIn Learning instructors walk you through the most important skills for data science professionals today. In this short beginner-friendly course, find out what you need to know to succeed in a rapidly growing field as an AI or AI Ops engineer, gathering insights along the way from data expert Ben Sullins to build out your toolbox and boost your career.
Whether you’re looking for a new move in data science, or just retooling for your current role, Ben shows you the skill set that can set you apart, working down the list, one skill at a time. Explore the fundamentals of programming languages, machine learning, deep learning, data processing and analysis, natural language processing, computer vision, cloud computing, big data technologies, DevOps and AIOps, and communicative problem-solving. Discover the importance of preparing for tomorrow by learning impactful, new skills today.
Whether you’re looking for a new move in data science, or just retooling for your current role, Ben shows you the skill set that can set you apart, working down the list, one skill at a time. Explore the fundamentals of programming languages, machine learning, deep learning, data processing and analysis, natural language processing, computer vision, cloud computing, big data technologies, DevOps and AIOps, and communicative problem-solving. Discover the importance of preparing for tomorrow by learning impactful, new skills today.
Skills covered
Artificial Intelligence FoundationsArtificial Intelligence (AI)One-Off
Concepts
1. Top 10 Skills for AI Engineers and AIOps Engineers
- 01 - Skills for AI engineers
- 02 - Programming languages
- 03 - Machine learning
- 04 - Deep learning
- 05 - Data processing and analysis
- 06 - Natural language processing
- 07 - Computer vision
- 08 - Cloud computing
- 09 - Big data technologies
- 10 - DevOps and AIOps
- 11 - Communication and problem-solving
- 12 - See you in the next course
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