Now that Artificial Intelligence is the thing of the present, it has become essential for people in the software development industry to get a hold of the AI terms, tools, and technologies.
If you are a student who wants to pursue a career in AI & ML, below are some roles in AI that are in high demand.
AI Industry Roles & Specializations:
| Role | Job Description |
|---|---|
| AI Product Manager | To oversee the development and deployment of AI-powered products or solutions. |
| Machine Learning Engineer | Designing, implementing, and maintaining machine learning systems and algorithms. |
| Data Engineer | Build large data pipelines, design and optimize databases, and ensure data quality and integrity. |
| AI Developer | Develop software systems and applications that incorporate AI capabilities. |
| Data Scientist | Analyze complex datasets to extract insights and patterns by using statistical techniques and machine learning algorithms. |
| AI Research Scientist | Work on advancing the field of AI by conducting R&D on new algorithms, techniques, and models. |
| Natural Language Processing (NLP) Engineer | Develop algorithms and models that understand and process human language. |
| Computer Vision Engineer | Develop algorithms and systems that can interpret and understand visual information. |
| AI Ethicist | Address the ethical implications and societal impact of AI systems. |
| AI Consultant | Provide strategic guidance to businesses on leveraging AI technologies. |
One of the best way to know the fundamentals of AI & ML is by getting a certification from AI-900: Microsoft Azure AI Fundamentals.
About AI-900: Microsoft Azure AI Fundamentals exam
The AI-900 is the entry-level exam that does not require you to be a technical person, if you come from a non-technical background you should be able to grasp the concepts of this course.
Let's take a look at the official study guide for this exam:
| Topic | Weightage |
|---|---|
| Describe Artificial Intelligence workloads and considerations | 20–25% |
| Describe fundamental principles of machine learning on Azure | 25–30% |
| Describe features of computer vision workloads on Azure | 15–20% |
| Describe features of Natural Language Processing (NLP) workloads on Azure | 25–30% |
Links to Important Official Microsoft Study Guide & Resources
- Study guide for Exam AI-900: Microsoft Azure AI Fundamentals: https://learn.microsoft.com/en-us/certifications/resources/study-guides/AI-900
- Skills measured as of May 4, 2023: https://learn.microsoft.com/en-us/certifications/resources/study-guides/AI-900#skills-measured-as-of-may-4-2023
- Study Resources: https://learn.microsoft.com/en-us/certifications/resources/study-guides/AI-900#study-resources
- AI-900 Certification Details Page: https://learn.microsoft.com/en-us/certifications/exams/ai-900/
- AI-900 Microsoft Offical Free Practice (Mock) Exams: https://learn.microsoft.com/en-us/certifications/exams/ai-900/practice/assessment?assessmentId=26&assessment-type=practice
- Self-Pased AI-900 Learning Path: https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/
- Exam Sandbox: https://go.microsoft.com/fwlink/?linkid=2226877
Microsoft Learn portal has tons of study guides, challenges, and preparation exams (mocks) to help you prepare for the AI-900 exam. Below are some links that you must look at.
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