A solid understanding of the Microsoft Azure portal and its core services, along with proficiency in programming languages such as Python or C#, is recommended. Familiarity with REST APIs and JSON, along with a willingness to dive into Azure Cognitive Services, will accelerate your learning experience and success in the course.

• Design and oversee Azure AI solutions
• Develop computer vision-based applications
• Build and deploy generative AI models
• Create AI-driven decision support systems
• Implement natural language processing (NLP) capabilities
• Leverage knowledge mining and document intelligence tools

To become certified, you must pass the AI-102: Azure AI Engineer Associate exam.

Yes, the AI-102 exam has replaced the AI-100 certification, which was retired on June 30, 2021.

 

Yes, the course includes a practice test designed to simulate the actual exam experience and help you gauge your understanding of the AI-102 exam content.

 

The updated AI-102 exam format was launched in February 2021. It’s recommended to review the change log before attempting the exam.

 

Yes, Nvidya is a Microsoft Silver Partner, and the training is officially accredited by Microsoft.

 

No, the exam fee is not part of the course fee.

The AI-102 exam costs approximately $165 USD or ₹4,800 (plus taxes), payable directly to Microsoft at the time of registration.

Yes, our support team is available to guide you through the exam application process.

 

You can reach out using the contact form available on any page of the Nvidya website or use the Live Chat option. Our customer support representatives are ready to help.

 

The AI-102 course is designed to equip you with the skills and knowledge needed to confidently tackle the certification exam. While a first-time pass isn’t guaranteed, the comprehensive curriculum, hands-on labs, and practice tests greatly improve your chances of success.

The Microsoft AI-102 certification is a comprehensive training program designed to equip professionals with the skills needed to design and deploy AI solutions using Microsoft Azure. Nvidya’s AI-102 training covers essential areas such as natural language processing (NLP), computer vision, machine learning, and Azure Cognitive Services. The course includes hands-on labs and real-world projects, helping learners gain practical experience and confidently prepare for the AI-102 certification exam, enhancing their career prospects in AI and cloud-based roles.

AI Engineers are responsible for designing, developing, and implementing AI models and systems that mimic human intelligence. Their expertise includes creating machine learning algorithms, neural networks, and NLP solutions to automate tasks, analyze data, and support decision-making. They also collaborate with software developers and data scientists to ensure AI systems are scalable and efficient in production environments.

 

Nvidya’s AI-102 training provides in-depth knowledge of AI implementation using Azure services. The course covers critical domains such as computer vision, NLP, conversational AI, and machine learning, along with hands-on assignments and capstone projects. Learners also gain access to career support services, including resume assistance, making them job-ready for roles in AI and cloud engineering.

 

Nvidya’s instructors are industry professionals with strong expertise in AI and ML. They are selected through a rigorous process that evaluates their educational background, industry experience, and teaching ability. Their real-world insights and deep knowledge of AI tools and frameworks make complex topics more accessible and engaging for learners.

Enrolling in the training program involves three simple steps:
1. Click “Enroll Now” and fill out the application form.
2. Make a secure payment using Visa, MasterCard, American Express, Diner’s Club, or PayPal.
3. Upon payment confirmation, you’ll receive a receipt and course access details via email.

 

Completing the AI-102 certification can lead to various roles such as Azure AI Engineer, Machine Learning Engineer, or AI Solutions Architect. These roles focus on designing and deploying AI-powered applications using Azure. With additional experience, professionals can advance to leadership roles such as AI Consultant or Project Manager. Specialization in areas like NLP, computer vision, or conversational AI is also possible.

 

Nvidya provides round-the-clock support via chat for urgent concerns. For general inquiries, learners can receive assistance through email or request a callback from our dedicated support team.

Yes, Nvidya for Business collaborates with Fortune 500 companies and mid-sized organizations to deliver scalable workforce training solutions. These include short-term certifications, structured learning paths, and access to the Nvidya Learning Hub+—a library of live and interactive sessions tailored to enterprise learning needs.

 

Missing a live class won’t hinder your progress. With Nvidya’s flexible learning model, you can access recordings of missed sessions anytime. Simply log in to the learning portal, watch the session, and your attendance will be recorded.

 

Nvidya offers a range of programs under AI & Machine Learning for different experience levels, including:
• Master’s in Artificial Intelligence
• AI and ML Certification Course
• Machine Learning with Python
• Deep Learning for Beginners

 

Absolutely. The AI-102 certification demonstrates your ability to design and implement AI solutions on Azure, covering essential topics like ML, NLP, and computer vision. As AI continues to grow, this certification enhances your competitiveness and opens doors to in-demand roles in the tech industry.

 

While there are no strict prerequisites, a foundational knowledge of Azure AI services and experience in building AI solutions is recommended. Familiarity with REST APIs, JSON, and programming in Python or C# will be beneficial. Prior certification, like AZ-900 (Azure Fundamentals), can also be helpful.

 

Start by learning programming languages like Python or C# and gaining familiarity with Azure services. Enrolling in Nvidya’s AI-102 training helps you build expertise in AI and cloud computing through real-world projects and practical labs, positioning you for success in Azure AI roles.

 

AI engineers are in demand across a wide range of sectors including technology, healthcare, finance, and automotive. Major employers include Google, Microsoft, Amazon, IBM, JPMorgan Chase, Goldman Sachs, Tesla, BMW, GE Healthcare, and Philips, among others.