What you will learn
This program offers a structured pathway into AI and machine learning engineering, particularly using Microsoft Azure.
Learners will gain proficiency in designing and managing AI infrastructure, including data pipelines and deployment systems.
The course covers foundational and advanced ML algorithms such as supervised, unsupervised, deep learning, and reinforcement learning.
Hands-on labs and projects provide practical experience with tools like Azure Machine Learning and AutoML.
The curriculum emphasizes real-world application, preparing learners for industry roles with tangible skills.
Completion of the program earns a recognized Microsoft certificate that validates AI & ML expertise.
Program Overview
Foundations of AI and Machine Learning
⏱️ 3–4 weeks
- Learn the core components of AI/ML pipelines and infrastructure.
- Understand data pipelines, model development, and deployment strategies.
- Develop an engineering mindset towards building scalable ML systems.
- Get introduced to tools and practices commonly used in AI projects.
Microsoft Azure for AI and Machine Learning
⏱️3–5 weeks
- Use Microsoft Azure services to develop and deploy AI solutions.
- Learn how to build end-to-end ML workflows in the cloud.
- Optimize models and manage data across Azure platforms.
- Gain hands-on experience with Azure ML tools.
Artificial Intelligence on Microsoft Azure
⏱️ 4-6 weeks
- Explore applications like computer vision, NLP, anomaly detection, and conversational AI.
- Learn ethical considerations and the principles of responsible AI.
- Use Azure AI to create intelligent agents and analytics tools.
- Build projects aligned with enterprise needs.
Microsoft Azure Machine Learning
⏱️ 4-6 weeks
- Train, tune, and deploy predictive models with Azure Machine Learning Studio.
- Utilize AutoML to reduce development time.
- Monitor and retrain models to ensure performance.
- Finalize models for real-world implementation.
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Job Outlook
- The AI and ML job market is expected to grow over 20% annually through 2030.
- Demand is high for roles such as AI Engineer, ML Engineer, Data Scientist, and AI Consultant.
- Microsoft Azure experience is highly valued by employers seeking cloud-based ML skills.
- Salaries for AI professionals range from $90K to $150K+, depending on experience.
- This certificate boosts visibility for tech roles on LinkedIn and major job platforms.
- Builds a strong foundation for further specialization in AI or cloud computing.
- Aligns with industry trends like automation, generative AI, and data-driven products.
- Suitable for both career changers and upskillers aiming for technical roles.
Specification: Microsoft AI & ML Engineering Professional Certificate
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FAQs
- The program is designed for intermediate learners, assuming a foundational knowledge of Python and basic AI/ML concepts.
- No prior experience with Azure is required; the course introduces Azure services relevant to AI/ML.
- Learners should be comfortable with programming and have a basic understanding of machine learning principles.
- The curriculum progresses from foundational concepts to advanced techniques, ensuring a comprehensive learning experience.
- Hands-on labs and projects reinforce learning and provide practical experience.
- Microsoft Azure: Utilize Azure services for developing and deploying AI solutions.
- Azure Machine Learning Studio: Train, tune, and deploy predictive models.
- AutoML: Automate machine learning processes to improve efficiency.
- Python: Apply Python programming for data analysis and model development.
- Machine Learning Algorithms: Implement various algorithms for supervised, unsupervised, and reinforcement learning.
- The certificate consists of five courses, each with an estimated completion time of 3–6 weeks.
- The total duration depends on your pace; the program is designed to be self-paced.
- You can start and finish courses at your convenience, making it suitable for working professionals.
- Access to course materials is available for a specified period after enrollment, ensuring ample time for completion.
- The program is designed to be flexible, allowing you to balance learning with other commitments.
- Completing the certificate prepares you for roles such as AI Engineer, ML Engineer, Data Scientist, and AI Consultant.
- The program provides hands-on experience with tools and techniques used in the industry.
- The certificate is recognized by employers and can enhance your resume and LinkedIn profile.
- Salaries for AI professionals range from $90K to $150K, depending on experience.
- The program aligns with industry trends like automation, generative AI, and data-driven products.
- The course includes hands-on labs and projects that simulate real-world AI/ML tasks.
- Projects cover areas such as computer vision, natural language processing, and predictive modeling.
- The capstone project allows you to apply your skills to a comprehensive AI solution.
- Exercises are designed to reinforce learning and provide practical experience.
- Completing these projects can help build a portfolio to showcase your skills to potential employers.
