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Amazon Web Services

Networking Core - Knowledge Badge Readiness Path

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This Learning Path helps you build knowledge on AWS networking concepts and services with a focus on Amazon VPC, AWS Cloud WAN, and Amazon Route 53. This Learning Path presents domain-specific content and includes courses, knowledge checks, a…
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Amazon Web Services

Networking Core - Knowledge Badge Readiness Path (includes labs)

gear-duotone-light-full Software Development
This Learning Path helps you build knowledge on AWS networking concepts and services with a focus on Amazon VPC, AWS Cloud WAN, and Amazon Route 53. This Learning Path presents domain-specific content and includes courses, knowledge checks,…
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Amazon Web Services

Networking Core Knowledge Badge Assessment

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This assessment validates your comprehension of the Networking Core Knowledge Badge Readiness Path. The assessment questions are based on the courses in this learning path. Take all of the courses and then verify your knowledge. Already have some…
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Amazon Web Services

Networking Core Pre-Assessment

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This Networking Core pre-assessment allows you to determine your level of knowledge on core AWS Networking concepts before you take courses in this Knowledge Badge Readiness Path. You can determine your knowledge, or identify any gaps that you…
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Cisco Networking Academy

Networking Devices and Initial Configuration

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This course is the third in the six-course Junior Cybersecurity Analyst Pathway, aligned to the CCST (Cisco Certified Support Technician) Cybersecurity certification and the second in the four-course Network Technican Pathway, aligned to the CCST Networking certification. This course covers the essentials of network devices and how to configure them. Learn the characteristics and benefits of Cloud and Virtualization technologies. Explore how to provide Internet Protocol (IP) addresses to devices both manually and automatically. Using this knowledge, you will calculate an IP addressing scheme, configure Cisco devices to create a small network, and test for connectivity issues.
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Amazon Web Services

No-code Machine Learning and Generative AI on AWS

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With Amazon SageMaker Canvas, data and business analysts can prepare data, train, and deploy machine learning (ML) models without any ML experience or writing a single line of code. You will learn to build ML models for tabular and time series…
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Amazon Web Services

NoSQL Foundational Learning Plan

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A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This Learning Plan is…
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Microsoft

Null safety in C#

Learn coding practices to help prevent the occurrence of NullReferenceException.

Units in this learning path:

• Introduction
• Understand Nullability
• Express Intent
• Applied Learnings
• Summary

Products: Dotnet

Roles: Developer, Student

Level: Beginner

Duration: 23 minutes

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Microsoft

Nurture and generate leads in Dynamics 365 Sales

Configure lead management in Dynamics 365 Sales to capture, nurture, and prioritize leads. Explore lead creation methods including integration with Customer Insights, configure predictive lead scoring, and use Copilot to surface insights that help sellers focus on the right leads.

Units in this learning path:

• 1 Leads Overview
• 2 Create Leads
• 3 Lead Management Lifecycle
• 4 Lead Qualification
• Copilot Leads
• 6 Knowledge Check
• 7 Summary

Products: Dynamics 365, Dynamics Sales

Roles: Functional Consultant

Level: Intermediate

Subjects: Marketing Sales

Duration: 53 minutes

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Microsoft

OCR technologies in Power Automate for desktop

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This module covers the OCR actions in Power Automate for desktop.

Units in this learning path:

• 1 Introduction
• 2 Ocr Actions
• 3 Exercise Extract Data Image
• 4 Check Knowledge
• 5 Summary

Products: Power Platform, Power Automate

Roles: Maker, Developer, Functional Consultant

Level: Intermediate

Subjects: Process Workflow

Duration: 22 minutes

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Microsoft

Object detection on Edge devices with Live Video Analytics using YOLO model

This module reviews a historical object detection architecture that used Live Video Analytics on IoT Edge and the archived Vision on Edge sample.

Units in this learning path:

• Introduction
• Build Video Analytics Solution
• How Deploy Edge Device
• Exercise Deploy Edge Device
• How Install Vision Edge Solution
• Exercise Install Vision Edge Solution
• How Upload Video Edge
• Exercise Upload Video Edge
• How Build Container Image
• Exercise Build Container Image
• How Deploy Solution
• Exercise Bring AI Model Deploy Solution
• Summary

Products: Azure Iot Hub

Roles: AI Edge Engineer

Level: Intermediate

Subjects: Iot

Duration: 105 minutes

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Microsoft

Observability and Continuous Improvement

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Learners will discover the significance of observability in providing real-time insights into system performance and identifying inefficiencies. This module emphasizes the importance of continuous improvement through feedback loops, performance monitoring, and market analysis. Learners will explore strategies for adapting to market trends and fostering a culture of innovation within platform engineering teams.

Units in this learning path:

• Introduction
• Importance Observability Modern Platforms
• Build Observability Platform Architecture
• Metrics Monitoring Alerts
• Automation Incident Detection Resolution
• Continuous Improvement Through Feedback Loops
• Implementing Real Time Monitoring with Azure Monitor
• Knowledge Check
• Summary

Products: Azure, Azure Devops, Github

Roles: Administrator, AI Engineer, Developer, Devops Engineer, Network Engineer, Security Engineer, Solution Architect, Startup Founder

Level: Advanced

Subjects: App Development, Architecture, Asset Management, Automation, Cloud Computing, Cloud Security, Containers, Custom App Development, Devops, Infrastructure, It Management Monitoring, Product Lifecycle Management, Productivity, Site Reliability Engineering

Duration: 64 minutes

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