0(0 Ratings)

AI-102: Designing and Implementing a Microsoft Azure AI Solution

Student Ratings & Reviews

No Review Yet
No Review Yet
$1,600.00

A course by

Tags

Why Join this Course?

List

Learn to Build AI Models on Azure

Gain expertise in designing AI solutions using Azure Machine Learning and Cognitive Services.

List

Deep Dive into Azure AI Tools

Get hands-on experience with Azure’s AI technologies, including Azure Bot Services, and Azure Cognitive Services.

List

Master Model Deployment & Management

Learn to deploy AI models on Azure, ensuring scalability and security in production environments.

List

Prepare for AI-102 Certification Exam

Equip yourself with the knowledge and skills required to pass the AI-102 certification exam.

List

Understand Azure AI Integration

Understand how to integrate AI models into Azure cloud infrastructure, enabling seamless business operations.

List

Explore AI Ethics and Governance

Develop a clear understanding of ethical AI practices and governance for safe, reliable AI solutions.

List

Optimize AI Performance

Learn how to monitor and fine-tune machine learning models to ensure maximum efficiency.

List

Develop Real-World Solutions

Gain practical experience by applying AI to real-world business use cases, ensuring your skills are market-ready.

Course Overview

The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification course is a comprehensive training designed for professionals looking to advance their skills in artificial intelligence and cloud computing using Microsoft Azure. Whether you’re aiming to enhance your expertise in AI solutions or prepare for the AI-102 certification exam, this course provides everything you need to succeed.

In this course, you will gain in-depth knowledge of Azure’s AI technologies, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services. You’ll learn to design, implement, and deploy AI solutions that solve real-world business challenges, helping organizations become more agile and efficient. With a focus on practical application, the course covers crucial topics like model training, testing, deployment, and integration with Azure cloud infrastructure.

Skill Curve’s AI-102 course is tailored for working professionals who already have foundational knowledge in cloud computing and want to dive deeper into AI-based solutions. It’s perfect for IT professionals, data scientists, AI engineers, and anyone looking to leverage Microsoft Azure AI to optimize operations and enhance business intelligence.

Course Objectives

  • Understand Azure AI Fundamentals:
Gain a comprehensive understanding of Azure AI services, tools, and architecture for implementing AI solutions in real-world scenarios.
  • Design AI Solutions:
Learn how to design AI models and implement appropriate AI services using Azure Cognitive Services, Azure Machine Learning, and other Azure AI tools.
  • Implement AI Workloads:
Gain practical experience in deploying and managing AI models and solutions in Azure, ensuring scalability and efficiency.
  • Optimize AI Solutions:
Understand how to evaluate and fine-tune machine learning models, making them more accurate and effective.
  • Integrate AI Models into Business Processes:
Master the process of integrating AI solutions into business workflows, making them impactful for organizational growth.
  • Use Azure AI Tools for Data Processing:
Explore data manipulation, data storage, and data processing using Azure technologies like Azure Databricks and Azure Data Lake.
  • Deploy and Monitor AI Models:
Learn how to monitor AI models and maintain the deployed solutions to ensure high availability and optimal performance.

Prerequisites

  • Basic Knowledge of Azure A solid understanding of Microsoft Azure, particularly in areas like Azure compute, storage, and networking services, will help you grasp the course concepts efficiently.
  • Familiarity with Programming Languages Proficiency in programming languages like Python or C# is essential for implementing AI models, scripting, and automation within Azure AI solutions.
  • Experience with Cloud Computing An understanding of cloud computing fundamentals, including cloud architecture and deployment models, will provide a strong foundation for this course.
  • Understanding of Data Science Concepts Basic knowledge of data science principles, such as data exploration, data preprocessing, and model evaluation, will be beneficial for learning AI solution design and implementation.
  • Experience with Machine Learning A prior understanding of machine learning techniques, algorithms, and models is recommended to work efficiently with AI solutions in the Azure ecosystem.
  • Familiarity with AI Tools and Frameworks Prior exposure to AI tools such as TensorFlow, Keras, or PyTorch, along with machine learning libraries, will be advantageous when implementing AI models using Azure AI services.

Training Outcomes

Master AI Solution Design on Microsoft Azure

Gain expertise in designing AI solutions using Azure’s robust platform and tools.

Implement Cognitive Services in Real-World Scenarios

Learn to integrate and implement cognitive services like vision, speech, and language.

Optimize AI Models for Performance and Scalability

Develop skills to optimize and scale AI models to meet real-world performance needs.

Deploy AI Solutions Securely on Azure

Understand how to deploy and manage AI models securely on the Azure cloud infrastructure.

Automate AI Workflows with Azure Tools

Learn to streamline and automate AI workflows for improved productivity and efficiency.

Understand Data Management for AI Projects

Master the art of managing and processing data for AI model development on Azure.

Enhance Decision-Making with AI Integration

Learn how to leverage AI to enhance data-driven decision-making in business environments.

Earn a Recognized AI-102 Certification

Validate your expertise and improve career prospects with a Microsoft Azure AI certification.

Course Modules

  • Overview of Artificial Intelligence (AI): Basic understanding of AI and its impact across industries.
  • Microsoft Azure AI Services: Introduction to core Azure AI tools such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services.
  • AI in Cloud Computing: Explore the advantages of implementing AI solutions in a cloud environment.
  • AI and Data Integration: Introduction to how AI integrates with data sources, tools, and infrastructure within Azure.
  • Identifying AI Business Requirements: Learn how to assess the business problem to determine the right AI solution.
  • Determining Technical Requirements: Evaluate data needs, computational power, and specific AI model types required.
  • AI Service Selection: Based on requirements, learn to choose between different Azure AI tools (e.g., Cognitive Services vs. Machine Learning).
  • Project Constraints Analysis: Analyze constraints such as data privacy, cost, and performance in the design of AI solutions.
  • Designing AI Architecture: Principles of designing scalable, reliable, and cost-efficient AI architectures using Azure.
  • Selecting the Right Azure Services: Match specific business use cases with Azure AI solutions such as Cognitive Services, Machine Learning, or Azure Databricks.
  • AI Pipelines and Workflow Design: Plan and design AI workflows from data ingestion to model deployment.
  • Security Best Practices: Ensuring security in AI solution designs including encryption, identity management, and access control using Azure Active Directory.
  • Data Collection Strategies: Identify various data sources and best practices for gathering data.
  • Data Transformation & Wrangling: Use Azure Data Factory and Databricks for cleaning, transforming, and enriching data.
  • Data Storage with Azure: Leverage Azure Data Lake, Blob Storage, and Azure SQL Database for storing large datasets.
  • Data Quality Management: Focus on improving the quality of data, ensuring it’s fit for training AI models.
  • Model Development with Azure ML: Step-by-step guidance on building machine learning models using Azure Machine Learning Studio.
  • Model Selection & Tuning: Learn techniques for selecting the right machine learning algorithms and fine-tuning them for accuracy.
  • Training & Validation: Implement training strategies, cross-validation, and hyperparameter tuning.
  • Model Evaluation: Assess model performance with metrics such as accuracy, precision, recall, and F1 score using Azure tools.
  • Deploying Models with Azure Kubernetes Service (AKS): Use AKS to deploy machine learning models as scalable, containerized APIs.
  • Integration with Azure Functions: Integrate AI models into serverless applications for quick responses.
  • Embedding AI into Web/Mobile Apps: Learn how to deploy models into production environments and integrate them into user-facing applications.
  • Model Versioning & Rollback: Techniques for versioning deployed models and rolling back to previous versions if needed.
  • Monitoring AI Models: Use Azure Monitor and Application Insights to track AI models’ performance in real-time.
  • Troubleshooting Model Issues: Learn how to resolve issues related to model performance, latency, and deployment failures.
  • Performance Tuning: Techniques to optimize the performance of machine learning models, improving response time and accuracy.
  • Continuous Model Improvement: Set up pipelines for continuous learning and model re-training using Azure ML and Azure DevOps.
  • Understanding AI Ethics: Learn the importance of fairness, accountability, and transparency in AI development.
  • Responsible AI Framework: How to implement Microsoft’s Responsible AI principles to ensure ethical AI use.
  • Bias Mitigation: Strategies for identifying and reducing biases in data and models.
  • Compliance with Legal Standards: Explore how to ensure compliance with privacy regulations (GDPR, HIPAA) and international standards for AI governance.

Frequently Asked Questions

The AI-102 course is a comprehensive training program designed for professionals seeking to design and implement AI solutions using Microsoft Azure. This certification covers key concepts like creating and managing AI models, integrating them into applications, and utilizing Azure’s advanced AI tools and services.

This course is ideal for professionals working in roles such as AI developers, data scientists, and machine learning engineers. It’s designed for those who are familiar with cloud computing and are looking to expand their expertise in building and deploying AI solutions using Microsoft Azure.

To enroll in the AI-102 certification course, it’s recommended that you have foundational knowledge of cloud computing, experience with programming languages (like Python or C#), and familiarity with Microsoft Azure services. However, no advanced qualifications are required.

The AI-102 certification course covers a wide range of topics including:
  • Designing AI solutions with Azure AI tools.
  • Implementing Azure Cognitive Services, Machine Learning, and Azure Bot Services.
  • Managing AI models, data, and integrating them into applications.
  • Implementing security and privacy in AI solutions.
  • Continuous monitoring and optimization of AI models.

The AI-102 course can be completed in a flexible time frame, depending on the mode of learning chosen. If you opt for instructor-led training, the course typically takes 4-6 weeks. Self-paced learning allows you to complete it at your own convenience within a span of 1-3 months.

Yes, the AI-102 course at Skill-Curve emphasizes practical learning. You will work on real-world projects and case studies that involve building and deploying AI models using Azure services. This hands-on approach ensures you gain valuable experience and skills applicable in the workplace.

Upon successful completion of the AI-102 certification, you will be recognized as a professional with advanced expertise in AI solution development on Microsoft Azure. This certification can help you stand out in the job market, qualify for higher roles, and boost your credibility as an AI expert in your organization.

The course cost depends on the learning mode you choose (online, in-person, or blended learning). Skill-Curve offers competitive pricing with flexible payment plans to suit different budgets. Please contact us for more detailed pricing information.

Yes, the AI-102: Designing and Implementing a Microsoft Azure AI Solution certification is recognized globally. It’s highly regarded in the IT and AI industries and demonstrates your ability to work with cutting-edge AI technologies in real-world applications.

To earn the AI-102 certification, you must pass the official Microsoft exam (AI-102: Designing and Implementing an Azure AI Solution). The exam assesses your skills in areas such as implementing AI models, integrating AI solutions, and managing AI infrastructure on Azure. Skill-Curve provides exam preparation resources to help you succeed.

What Our Learners Say

Aman Sharma
Aman SharmaData Scientist
Read More
"The AI-102 course from Skill-Curve was an eye-opener. The content was comprehensive and practical, and the instructors made complex AI concepts in Azure simple to understand. The certification helped me advance my career in AI solutions."
Priya Mehta
Priya MehtaIT Solutions Architect
Read More
"I’ve taken multiple Azure-related courses, but the AI-102 course stood out due to its hands-on approach. The real-world examples and focus on implementation gave me the confidence to design AI solutions efficiently."
Rajeev Kumar
Rajeev KumarCloud Engineer
Read More
"The AI-102 course exceeded my expectations. The mix of theory and practical exercises made a significant difference in my Azure AI implementation skills. Skill-Curve’s expert trainers made the learning process smooth and insightful."
Nisha Rani
Nisha RaniSenior Project Manager
Read More
"Skill-Curve’s AI-102 course provided the perfect blend of deep technical insights and practical skills. The knowledge I gained helped me integrate AI solutions on Azure more effectively, making me a more valuable asset to my team."
Rohit Soni
Rohit SoniAzure Specialist
Read More
"As a working professional, I needed a course that was both flexible and comprehensive. The AI-102 course at Skill-Curve allowed me to learn at my own pace while covering everything from AI model design to deployment on Microsoft Azure. A must for anyone in the AI field!"

Are You Ready to Upskill Your Career?

Gain in-demand expertise with industry-relevant courses. Learn at your own pace and achieve recognized certifications for career growth.

Are You Ready to Upskill Your Career?

Gain in-demand expertise with industry-relevant courses. Learn at your own pace and achieve recognized certifications for career growth.

contact info

Skill-Curve

Enhance your career with quality training and certifications designed for your success and professional growth.

©2025 Skill-Curve. All Rights Reserved

0