Microsoft Generative-AI Engineer Bootcamp - Yayasan Peneraju
Class
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MITacademy Professional Training
Cover topics and prepare for the certification exams for
1. Azure AI Fundamentals - AI900
2. Azure Engineer Associate - AI102
This training is an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services. As a candidate for this certification, you should have familiarity with the self-paced or instructor-led learning material.
This certification is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of:
- Basic cloud concepts
- Client-server applications
You can use Azure AI Fundamentals to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.
Additionally,
As a Microsoft Azure AI engineer, you build, manage, and deploy AI solutions that leverage Azure AI.
Your responsibilities include participating in all phases of AI solutions development, including:
- Requirements definition and design
- Development
- Deployment
- Integration
- Maintenance
- Performance tuning
- Monitoring
You work with solution architects to translate their vision. You also work with data scientists, data engineers, Internet of Things (IoT) specialists, infrastructure administrators, and other software developers to:
- Build complete and secure end-to-end AI solutions.
- Integrate AI capabilities in other applications and solutions.
As an Azure AI engineer, you have experience developing solutions that use languages such as:
- Python
- C#
You should be able to use Representational State Transfer (REST) APIs and SDKs to build secure image processing, video processing, natural language processing, knowledge mining, and generative AI solutions on Azure. You should:
Here is the class outline:
1. PRE ASSESSMENT
Dec 1, MIT Academy
1 section
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2. AI-900 – Fundamentals (AI in Azure)
Dec 1, MIT Academy
This course introduces core concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. 15 sections
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3. AI Fundamentals AI-900 Exercises
Online MS TEAMS
Exercises for AI-900 Modules 6 sections
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4. Mock Assessment - AI 900
Dec 19, Online MS Teams
Mock Assessment Multiple Choice Questions 1 section
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5. AI 102 - Develop Generative AI Apps in Azure
Dec 1, MIT Academy
9 sections
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6. Exercises: AI 102 - Develop generative AI apps in Azure
Dec 23, MS Teams
Generative Artificial Intelligence (AI) is becoming more accessible through comprehensive development platforms like Microsoft Foundry. Learn how to build generative AI applications that use language models to chat with your users. 6 sections
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7. AI 102 - Develop AI Agents on Azure
Dec 1, MIT Academy
10 sections
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8. AI 102 - Develop Natural Language Solutions in Azure
Dec 1, MIT Academy
10 sections
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9. AI 102 - Develop Computer Vision Solutions in Azure
Dec 1, MIT Academy
8 sections
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10. AI 102 - Develop AI Information Extraction Solutions in Azure4 sections
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11. Mock Assessment - AI 102
Jan 31, online
Practice assessments provide you with an overview of the style, wording, and difficulty of the questions you're likely to experience on the exam. Through these assessments, you're able to assess your readiness, determine where additional preparation is needed, and fill knowledge gaps bringing you one step closer to the likelihood of passing your exam. 1 section
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12. RECORDING6 sections
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13. Mock Exam AI-900 Microsoft Azure AI Fundamentals1 section
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