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

Access provided by New York State Department of Labor

8,690 already enrolled

Earn a career credential that demonstrates your expertise
4.6

(40 reviews)

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
4.6

(40 reviews)

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

Advance your career with in-demand skills

  • Receive professional-level training from Microsoft
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from Microsoft
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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

Foundations of AI and Machine Learning

Course 135 hours4.5 (56 ratings)

What you'll learn

Skills you'll gain

Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Applied Machine Learning
Category: Application Deployment
Category: Machine Learning
Category: Data Pipelines
Category: Scalability
Category: Scikit Learn (Machine Learning Library)
Category: Tensorflow
Category: Data Security
Category: Data Infrastructure
Category: PyTorch (Machine Learning Library)
Category: Feature Engineering
Category: Data Cleansing
Category: Version Control
Category: Continuous Deployment
Category: Application Frameworks
Category: Data Management
Category: MLOps (Machine Learning Operations)
Category: Artificial Intelligence
Category: Infrastructure Architecture

AI and Machine Learning Algorithms and Techniques

Course 245 hours4.9 (15 ratings)

What you'll learn

Skills you'll gain

Category: Unsupervised Learning
Category: Reinforcement Learning
Category: Dimensionality Reduction
Category: Feature Engineering
Category: Deep Learning
Category: Machine Learning
Category: Artificial Neural Networks
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Supervised Learning
Category: Predictive Modeling
Category: Data Modeling
Category: ChatGPT
Category: Applied Machine Learning
Category: Generative AI
Category: OpenAI
Category: Image Analysis
Category: Machine Learning Algorithms
Category: Business Logic
Category: Artificial Intelligence
Category: Unstructured Data

What you'll learn

Skills you'll gain

Category: Performance Testing
Category: Performance Tuning
Category: Artificial Intelligence
Category: Natural Language Processing
Category: Machine Learning
Category: ChatGPT
Category: OpenAI
Category: Problem Management
Category: Python Programming
Category: Human Computer Interaction
Category: Debugging
Category: Test Case
Category: Generative AI

What you'll learn

Skills you'll gain

Category: Microsoft Azure
Category: MLOps (Machine Learning Operations)
Category: Application Deployment
Category: CI/CD
Category: Scalability
Category: Data Pipelines
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Continuous Monitoring
Category: Continuous Deployment
Category: Debugging
Category: Data Storage
Category: Applied Machine Learning
Category: Software Versioning
Category: Cloud Computing

What you'll learn

Skills you'll gain

Category: Applied Machine Learning
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: MLOps (Machine Learning Operations)
Category: Scalability
Category: Distributed Computing
Category: Generative AI
Category: Machine Learning Methods
Category: Information Privacy
Category: Ethical Standards And Conduct
Category: Data Ethics
Category: Tensorflow
Category: Artificial Intelligence
Category: Deep Learning
Category: Machine Learning
Category: Microsoft Azure
Category: Capacity Management

Instructor

 Microsoft
Microsoft
206 Courses1,306,127 learners

Offered by

Microsoft

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