Microsoft
Microsoft AI & ML Engineering Professional Certificate
Microsoft

Microsoft AI & ML Engineering Professional Certificate

Prepare for a Career in AI & ML Engineering. Build, deploy, and innovate with advanced techniques and real-world projects. Intermediate programming knowledge of Python required.

 Microsoft

Instructor: Microsoft

Included with Coursera Plus

Earn a career credential that demonstrates your expertise
Intermediate level

Recommended experience

6 months
at 7 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
Intermediate level

Recommended experience

6 months
at 7 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Design and Implement AI & ML Infrastructure: Develop environments, including data pipelines, model development frameworks, and deployment platforms.

  • Master AI & ML Algorithms and Techniques: Apply supervised, unsupervised, reinforcement learning, and deep learning methods to solve challenges.

  • Develop Intelligent Troubleshooting Agents: Create AI-powered agents capable of diagnosing and resolving issues autonomously.

  • Leverage Microsoft Azure for AI & ML Workflows: Set up, manage, and optimize the entire AI & ML lifecycle using Azure.

Details to know

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Taught in English
Recently updated!

November 2024

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  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from Microsoft
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Get exclusive access to career resources upon completion

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Earn 50% off your Microsoft Azure AI Engineer Associate AI-102 Certification Exam

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Professional Certificate - 5 course series

What you'll learn

Skills you'll gain

Category: Unsupervised Learning
Category: Reinforcement Learning
Category: Model Evaluation and Comparison
Category: Supervised Learning
Category: Deep Learning with Pretrained Models

What you'll learn

Skills you'll gain

Category: Microsoft Azure-based Troubleshooting
Category: Microsoft Azure Machine Learning Service
Category: Cloud Resource Optimization
Category: End-to-end ML Workflow Management
Category: Model Deployment on Microsoft Azure

What you'll learn

Skills you'll gain

Category: Practical Application of AI Skills
Category: Scalable AI System Design
Category: Capstone Project Management
Category: Ethical AI Practices
Category: Advanced Machine Learning Techniques

What you'll learn

Skills you'll gain

Category: Autonomous System Development
Category: Best Practices in AI Agent Development
Category: Natural Language Processing
Category: Decision-Making Algorithms
Category: Agent Design and Architecture

What you'll learn

Skills you'll gain

Category: Cloud Infrastructure Management
Category: Scalable System Design
Category: Model Development Frameworks
Category: Cloud infrastructure management
Category: Data Pipeline Design
Category: Deployment Strategy Planning

Instructor

 Microsoft
Microsoft
196 Courses1,075,187 learners

Offered by

Microsoft

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Frequently asked questions

¹Based on Coursera learner outcome survey responses, United States, 2021.