This course is part of specialization programs

This course can be applied to multiple Specializations or Professional programs. Completing this course will count towards your learning in any of the following programs

• Artificial Intelligence A-Z Course

Pre-skills/ Prerequisites

1. Working knowledge of Python programming
2. Basic understanding of Machine Learning algorithms
3. Understanding of working with Data
4. Linear Algebra and Matrix calculations

or

A learner has completed Deep Learning Basic Course

Course Curriculum

Module – 1 – Overview of cloud services – 2 Hours

• Overview of Cloud services
• Cloud services used for an ML Project
• Comparison of Azure, AWS, IBM and GCP services related to AI, ML
• Analysis of AI, ML project requirement
• Training own model v/s using pretrained models

Module 2 – Azure Cognitive services – 4 Hours

• Introduction to Azure services and Microsoft Azure cloud
• Getting started with Azure Vision services
• Working with Face Vision
• Working with computer vision services
• Working with Custom vision services
• Getting started with speech services
• Working with Azure bing search services
• Working with azure text services
• Azure Chatbot framework
• Developing bot using python
• Integrating bot services with other cognitive services

Module 3 – Azure ML Workspace – 6 Hours

• Introduction to ML Workspace
• Creating compute target
• Creating dataset
• Registering models
• ML Designer workflow
• Auto ML
• Summary

Machine Requirement

1. Windows Machine (Windows 7 or Above) /Linux Machine
2. Only 64 Bit
3. 8 GB RAM 
4. NVIDIA Graphics Card (Recommended)

Course Features

• More than 80% hands-on session
• Project-oriented learning
• Cloud-based LMS
• Experienced Trainer
• Masterclass for Expert
• Standard reading materials
• Study resources
• Graded Quizzes
• Real-time case study-based projects
• Discussion Forum

Ask for one to one online meeting with our technical expert.

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