Description
Microsoft AI & ML Engineering Professional Certificate is published by Udemy Academy. Prepare to enter a career in AI and machine learning engineering. Gain the skills to build, deploy, and innovate with advanced techniques and hands-on projects. You will need intermediate programming knowledge in Python. This comprehensive program prepares you to work in the dynamic and growing field of AI and machine learning. Over five courses, you will gain a deep understanding of AI and ML fundamentals, practical skills, and experience working with real-world projects. Building scalable AI and ML infrastructure is the first learning stage, where you design robust and efficient environments. Then, you will explore core algorithms and techniques and gain the knowledge necessary to implement intelligent systems. Also, in the AI Agent Development section, you will learn how to create intelligent systems that can automatically solve problems and operate using natural language processing (NLP) and decision-making strategies.
A key focus of the program is the use of AI and ML cloud services, particularly through Microsoft Azure, which enables end-to-end workflow management. Finally, the program concludes with an examination of advanced concepts, ethical considerations, and a Capstone Project. Upon completion of the course, you will have the skills to design, deploy, and optimize AI and ML solutions and become a valuable expert in the technology industry. This program is suitable for individuals who want to learn AI and ML techniques, build scalable solutions, and apply their knowledge to real-world problems. To succeed in this course, you should have intermediate knowledge of Python, along with a basic understanding of AI and ML, the new Generative AI (GenAI) capabilities, and Large Language Models (LLM). Familiarity with statistics and probability is also recommended. You will need a Microsoft Azure license (or free trial) and appropriate hardware.
What you will learn
- Design and implement AI and ML infrastructure: Create environments that include data pipelines, model development frameworks, and deployment platforms.
- Mastery of AI and ML algorithms and techniques: using supervised learning, unsupervised learning, reinforcement learning, and deep learning to solve challenges.
- Developing intelligent agents for troubleshooting: Creating AI-powered agents that are capable of automatically diagnosing and resolving problems.
- Using Microsoft Azure for AI and ML Workflows: Launch, manage, and optimize the entire AI and ML lifecycle using Azure.
Microsoft AI & ML Engineering Professional Certificate Course Details
- Publisher: Coursera
- Instructor: Microsoft
- Language: English
- Education level: Intermediate
- Number of lessons: 5
- Training duration: 6 months, including 7 hours of work per week
Microsoft AI & ML Engineering Professional Certificate Course Topics
Course prerequisites
- Intermediate programming knowledge of Python is required. Familiarity with statistics is also recommended
Pictures
Sample video
Installation Guide
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Subtitles: English
Quality: 720p
File size
13.13 GB
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