The Azure Generative AI Certification is a game-changer for anyone looking to develop AI expertise. This certification program is designed to help professionals demonstrate their skills in building and deploying generative AI models.
By completing the certification, you'll gain hands-on experience with Azure's generative AI capabilities, including text-to-image synthesis and music generation. You'll also learn how to fine-tune and deploy these models at scale.
The certification covers a wide range of topics, from the basics of generative AI to advanced techniques for building and deploying these models. With this knowledge, you'll be able to tackle complex AI projects and drive business value for your organization.
For another approach, see: Azure Ai Models
Certification Details
Upon completing the AI-050: Develop Generative AI Solutions with Azure OpenAI Service course, you'll receive a Participation Certificate. This certificate acknowledges your dedication and commitment to learning Generative AI and Azure OpenAI Service.
The Participation Certificate is a valuable addition to your portfolio or resume, demonstrating your commitment to learning and your new skills in Generative AI.
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You won't receive an official Microsoft certification from AI-050, but the Participation Certificate is still a significant achievement.
Here are the details about the certificate you can expect:
- Participation Certificate: a recognition of your dedication and commitment to advancing your knowledge in Generative AI and Azure OpenAI Service.
- Official status: not an official Microsoft certification, but a certificate acknowledging your active participation and successful completion of the course.
Curriculum
The curriculum for the Azure Generative AI certification is designed to provide a comprehensive understanding of Generative AI principles, leveraging its problem-solving capabilities, effective use of Microsoft Azure OpenAI, and harnessing Prompt Engineering for business use-cases.
You'll gain expertise in generative AI principles, learning how to design, manage, and deploy Microsoft Azure AI solutions that use Azure Cognitive Services and Applied AI services. The curriculum covers Azure services like language, speech and translation, OpenAI, prompt engineering, responsible generative AI, and more.
The course is divided into several modules, including Introduction to Azure OpenAI Service, Getting Started with Azure OpenAI Service, Building Natural Language Solutions with Azure OpenAI Service, Applying Prompt Engineering with Azure OpenAI Service, and Implement Retrieval Augmented Generation (RAG) with Azure OpenAI. Each module is designed to provide hands-on experience with cutting-edge tools and explore the vast capabilities of Generative AI.
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Here's a breakdown of the course modules:
- Introduction to Azure OpenAI Service: Explore Azure OpenAI workloads, learn how to access the Azure OpenAI Service, gain insights into generative AI models and their applications, discover Azure OpenAI's language, code, and image capabilities, and understand the principles of responsible AI practices and limited access policies within Azure OpenAI.
- Getting Started with Azure OpenAI Service: Set up an Azure OpenAI Service resource, explore the different types of Azure OpenAI base models, learn to navigate the Azure OpenAI Studio, console, or use the REST API for deploying a base model, experiment with testing the deployed model in the Studio's playgrounds, and start generating completions to prompts and delve into the management of model parameters.
- Building Natural Language Solutions with Azure OpenAI Service: Integrate Azure OpenAI into your applications to enable natural language processing capabilities, understand the various endpoints available for your applications and their use cases, generate completions to prompts using both the REST API and language-specific SDKs to enhance language solutions.
- Applying Prompt Engineering with Azure OpenAI Service: Dive deep into the concept of prompt engineering and its critical role in optimizing Azure OpenAI model performance, learn how to design and optimize prompts effectively to harness the full potential of AI models, include clear and precise instructions in your prompts, request output composition, and utilize contextual content to improve the quality of the model's responses.
- Implement Retrieval Augmented Generation (RAG) with Azure OpenAI: Understand the importance of customizing language models, focus on integrating your own data with Azure OpenAI Service, explore different scenarios where using your own data, understand Retrieval Augmented Generation.
By the end of this course, you'll be able to design, manage, and deploy Microsoft Azure AI solutions that use Azure Cognitive Services and Applied AI services, and gain expertise in generative AI principles, leveraging its problem-solving capabilities, effective use of Microsoft Azure OpenAI, and harnessing Prompt Engineering for business use-cases.
Take a look at this: Azure Applied Ai Services
Learning and Certification
Upon successful completion of the AI-050 course, participants will receive a Participation Certificate, which serves as recognition of their dedication and commitment to advancing their knowledge in Generative AI and Azure OpenAI Service.
This certificate acknowledges active participation and successful completion of the course, making it a valuable addition to one's portfolio or resume.
The AI-050 course does not provide an official Microsoft certification, but the Participation Certificate is a significant achievement that demonstrates one's commitment to learning and newly acquired skills in Generative AI.
Here are the details you can expect from the course:
- Program Overview
- Curriculum
- Certificate
- Tools
- Projects
- Faculty
- Fees
By completing the AI-050 course, students will gain hands-on experience with Generative AI and Azure OpenAI Service, and will be able to:
- Provision Azure OpenAI Service and deploy models for various AI applications
- Utilize GPT-based language models for text completion, translation, summarization, conversation, coding assistance, and more
- Utilize the Dall-E model for image generation
- Implement AI-driven solutions using Microsoft Azure Services
- Enhance business operations through AI integration with cloud-based services
- Drive innovation and improve operational efficiency with AI-driven solutions
Exam and Certification
To earn the Azure AI Engineer certification, you must pass the AI-102: Azure AI Engineer Associate exam. This exam is a crucial step in validating your skills in designing and implementing Microsoft Azure AI solutions.
The AI-102 exam is a comprehensive assessment that covers various domains, including planning and managing Azure AI solutions, implementing decision support solutions, and implementing computer vision solutions. You can expect to be tested on your ability to configure security for Azure AI services, create and manage Azure AI services, and deploy Azure AI services.
To prepare for the exam, Simplilearn provides a practice test as part of their AI 102 course. This practice test is designed to help you understand the type of questions you would face in the Microsoft Certified Azure AI Engineer Associate exam and gain expertise in the topics that are part of the course syllabus.
The AI-102 exam fee is not included in the course fee and costs $165.00 or Rs.4800 plus taxes, paid to Microsoft when you register for your exam. Simplilearn is a Silver Microsoft Partner, and the course is accredited by Microsoft.
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Here's a breakdown of the exam domains and their corresponding weightage:
If you need help with the exam application process, Simplilearn's Help and Support team can assist you.
Sources
- https://www.cloudthat.com/training/aiandml/ai-050-develop-generative-ai-solutions-with-azure-openai-service
- https://www.mygreatlearning.com/gen-ai-microsoft-azure-open-ai-online
- https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/
- https://www.simplilearn.com/microsoft-azure-ai-102-certification
- https://www.whizlabs.com/microsoft-azure-certification-ai-102/
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