Note: – The aforementioned course was officially retired as of October 31, 2024. It has been succeeded by a new offering, AI-3016: Develop custom copilots with Azure AI Studio,which is now available. We encourage all learners and professionals to transition to the new course to stay current with evolving industry standards and capabilities.
AI-050: Develop Generative AI Solutions with Azure OpenAI Service certification training is designed to provide knowledge on developing and implementing AI models using Azure’s powerful OpenAI services. AI-050 is the gateway to Azure’s extensive AI capabilities, offering boundless opportunities in the world of Generative AI solutions. Whether you’re an AI enthusiast just starting your journey or an experienced professional seeking to enhance your skills, this course is tailored to meet your needs, regardless of your expertise level.
After completing AI-050 course, students 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.
Who Should Attend AI 050 Training?
- This course welcomes participants from diverse backgrounds, including:
- AI and data science enthusiasts eager to explore the world of generative AI solutions.
- AI developers and data scientists who want to understand generative AI solutions.
- Software engineers aiming to integrate AI services into applications.
- IT professionals looking to leverage Azure services for AI.
- Students learning about AI and cloud services.
- Technical team leads and managers overseeing AI project implementations.
Prerequisites of AI-050 Certification
To enroll in this course, it is recommended to have:
- Basic proficiency in Python programming
- A general awareness of AI and ML principles
- Some exposure to Azure AI services
- A fundamental understanding of REST API concepts
- A willingness to explore data science and software development
Key Features of the Course
- Guidance by Certified Experts: Benefit from expert instructors who will lead engaging online training sessions, providing you with valuable insights into AI-050.
- Personalized Learning Plans: Enjoy tailor-made training programs that cater to your unique learning requirements, ensuring you receive the most relevant knowledge and guidance.
- Accredited Training: Rest assured, our training is accredited and adheres to the highest quality standards, ensuring you receive top-notch education.
- Interactive Hands-On Labs: Gain practical experience through a series of interactive labs and exercises, allowing you to apply your newly acquired skills in real-world scenarios.
- Flexible Scheduling: Choose from a range of flexible dates and timings, so you can seamlessly fit your training into your busy schedule.
- Cost-Effective Pricing: Access all these benefits at a reasonable cost, ensuring that you receive excellent value for your investment in your AI education.
Why Choose CloudZee?
- Microsoft Gold Partner
- 1,000+ Professionals Trained
- Job-Ready Skills
- Learn Anytime
Course Curriculum
Introduction to Azure OpenAI Service
- Explore Azure OpenAI workloads and 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.
- 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 and 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.
- 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 OpenAl
- 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
Learning Outcomes
By the end of this course, you will be able to:
Understand Generative AI Fundamentals
Perform Prompt Engineering
Explore and Use Azure OpenAI Service
Integrate Generative AI into Applications
Exam Details & Certification
AI-102 is a Microsoft certification focused on designing, developing, and deploying AI solutions using Azure Cognitive Services, Azure Bot Services, and Azure Machine Learning. It's aimed at AI Engineers and developers working with AI workloads in the cloud.
This course covers all the core topics of the AI-102 exam. However, hands-on practice with Azure services, real-world labs, and reviewing Microsoft Learn documentation is strongly recommended for certification success.
Yes. You can use a free Azure account or your organization’s subscription to complete hands-on labs with Azure Cognitive Services, Bot Framework, and Azure ML.
Yes, you’ll receive a course completion certificate. The AI-102 certification itself is earned by passing Microsoft’s official exam via a test provider like Pearson VUE.
The course is typically 20–30 hours long including lectures, demos, and labs. It’s recommended to study 1–2 hours per day over 3–4 weeks. Hands-on practice is key to mastering concepts.
Lessons:
