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AZ-900: Microsoft Azure Fundamentals Certification
Training Overview
Description of Training
Video Overview (4:09)
Section 1: Course Introduction
1. Introduction (2:51)
Section 2: Module 1 : Cloud Concepts
2. The Need for Cloud Computing - Part 1 (12:31)
3. The Need for Cloud Computing - Part 2 (5:24)
4. The Definition of Cloud Computing (4:22)
5. The Evolution of Cloud and Cloud Models (6:12)
6. Cloud Models - Examples (5:14)
7. Who is responsible for Data in the Cloud (5:19)
8. Pizza as a Service (4:45)
9. The Five Key Characteristics of Cloud Computing (5:49)
10. Benefits of Cloud Computing (3:48)
11. CapEx Versus OpEX (4:10)
12. The global network powering the cloud (3:46)
13. Gartners-s Insights on Cloud Providers (3:23)
14. Exploring cloud model Public, Private and Hybrid (5:08)
15. Cloud Vendors (4:06)
16. Infrastructure as a code(IaC) (5:05)
17. Serverless (3:32)
18. Microservice - A Food Court Analogy (5:29)
19. Microservices Tech Explaination (4:59)
Assignment 1: Chapter Review Test
Section 3: Module 2 : Core Azure Services
20. Introduction (0:22)
21. Azure Regions (1:38)
22. Special Azure regions (3:50)
23. Region pairs (4:50)
24. Feature Availability Region Wise (3:02)
25. Availability Zones (3:53)
26. Availability Sets (4:07)
27. What are Resource Groups? (3:58)
28. Azure Resource Manager (4:49)
29. What Next!! - Azure Core Services and Products (3:08)
30. What is Azure Compute (7:50)
31. The Rise of Virtual Machines in Modern Era (5:45)
32. Azure Virtual Machines - LAB - Basic (9:01)
33. Azure Virtual Machines - LAB - Disks (4:27)
34. Azure Virtual Machines - LAB - Networking (4:37)
35. Azure virtual machines- lab- Management (4:32)
36. Azure Virtual Machines - Monitoring (2:47)
37. Azure virtual machines-Advanced (5:11)
38. Azure Virtual Machines - Lab - Tags (4:21)
39. Azure Virtual Machines - Lab - Finalizing (2:16)
40. What are Containers? (6:44)
41. Containers ( LAB Activity ) (6:34)
42. Containers vs Virtual Machines (3:33)
43. Advantages of Containers (2:14)
44. Azure Container Instances - Lab - I (6:38)
45. Azure Container Instances - Lab Activity - II (3:37)
46. Azure Container Instances -Deploy with CLI- Lab - III (3:52)
47. Build Custom Apps and Azure Container Registry (11:57)
48. What Are Virtual Networks (1:26)
49. Virtual Networks - LAB (15:38)
50. Azure Load Balancer (1:11)
51. Azure VPN Gateways (4:58)
52. Azure Application Gateway (4:34)
53. What are Azure Content Delivery Networks (CDN's) (4:08)
54. How CDN works ? (5:24)
55. Azure CDN - Lab Activity (7:23)
56. Overview of Azure Data Store Services (6:15)
57. Types of Azure Storage accounts (3:53)
58. Use cases of Azure Storage Account (3:13)
59. Brief Introduction to Structured, Unstructured, and semi structured data (3:30)
60. Structured Data (4:19)
61. Unstructured Data (4:57)
62. Semi structured data (3:50)
63. Azure storage Account Lab 01 (3:06)
64. Azure Storage Account Lab 02 (10:24)
65. Azure Storage Account Lab 03 (4:04)
66. Azure Storage Account Lab 04 (9:00)
67. Azure Storage Account Lab 05 (4:53)
68. Azure Storage Account Lab 06 (2:49)
69. Azure Storage's redundancy options - Explained (5:50)
70. Azure Storage Account Lab 07 (4:23)
71. Azure Storage Account Lab 08 (4:53)
72. Azure Storage Account Lab 09 (3:11)
73. Azure Storage Account Lab 10 (3:13)
74. Azure Storage Account Lab 11 (3:58)
75. Azure Storage Account Lab 12 (7:07)
76. Azure Storage Account Lab 13 (4:21)
77. Azure Storage Account Lab 14 (2:54)
78. Azure Storage Account Lab 15 (3:42)
79. Azure Storage Account Lab 16 (3:27)
80. Azure Storage Account Lab 17 (3:02)
81. Azure Storage Account Lab 18 (5:35)
82. Azure Storage Account Lab 19 (2:29)
83. Azure Storage Account Lab 20 (4:27)
84. Azure Storage Account Lab 21 (3:51)
85. Azure Storage Account Lab 22 (2:08)
86. Azure Storage Account Lab 23 (2:21)
87. Azure Storage Account Lab 24 (7:11)
88. Azure Database Services (7:15)
89. Azure SQL - Lab Demo (9:15)
90. Azure MarketPlace (3:33)
91. What is Internet of Things ( IOT ) - Introduction (4:29)
92. The Need for IOT Hub (4:11)
93. IOT Hub Demo ( Raspberry Pi Simulator ) (9:37)
94. Azure Big Data and Analytics Overview (4:58)
95. Azure Synapse Analytics - An Overview (7:13)
96. Azure HDInsights (5:16)
97. Azure Data Lake Analytics (4:29)
98. The General Concepts of Machine Learning (4:42)
99. Azure Machine Learning Services and Studio (3:19)
100. Azure Machine learning Workspaces (3:51)
101. What is Serverless Computing ? (2:05)
102. The concept of DevOps (4:03)
103. Azure Management Tools (3:18)
104. Creating Resources with Powershell - Lab Activity (10:53)
105. Creating Resources with Azure CLI - Lab Activity (6:07)
106. Deployment with JSON - Lab Activity (8:13)
107. Azure Advisor (4:06)
108. Module 2 : What did we learn (1:26)
Assignment 2: Review Assignment
Quiz 1: Review Questions
109. Bonus 1 : Azure Mobile App (2:16)
110. Bonus 2 : Azure Powershell (6:00)
Section 4: Module 3 Security, Privacy, Compliance and Trust
111. What to expect in Module 3 (0:54)
112. Azure Firewalls (5:56)
113. Azure Firewall - Lab Activity - notes (1:50)
114. Azure Firewall - Lab Activity (19:12)
115. Azure DDOS (5:38)
116. Network Security Groups (4:28)
117. Application Security Groups (4:11)
118. Which Network Security Solution to choose from ? (3:37)
119. AuthZ and AuthN (4:37)
120. Azure Active Directory (1:39)
121. Multi Factor Authentication (1:34)
122. Azure Security Center (1:40)
123. Azure Security Center - Lab Activity (7:34)
124. Azure Key Vault (2:01)
125. Azure Information Protection (2:00)
126. Azure Advanced Threat Protection (3:31)
127. What is Azure Policy (2:30)
128. Azure Policy - Lab Activity (6:21)
129. Azure Role Based Access Control ( RBAC ) (1:57)
130. Azure Role Based Access Control ( RBAC ) - Lab Activity (6:43)
131. Azure Locks (1:04)
132. Azure Locks - Lab Activity (1:59)
133. Azure Blueprints (0:49)
134. Subscription Governance (1:37)
135. Azure Tags (2:50)
136. Azure Monitoring (2:18)
137. Azure Monitoring Lab Activity (3:26)
138. Azure Service Health (1:16)
139. Monitoring Applications and Services (3:39)
140. Compliance Terms and Requirements (2:19)
141. Microsoft Privacy Statement (0:40)
142. Microsoft Privacy Statement - Ref URL
143. Microsoft Trust Center (1:01)
144. Service Trust Portal (1:16)
145. Azure Germany Services (1:25)
146. Azure Government Services (1:44)
147. Azure China 21Vianet (1:30)
Assignment 3: Review Questions : Chapter 3
Section 5: Module 4 : Azure Pricing and Support
148. Module 4 Introduction : What t̥o expect in this module (1:46)
149. Azure Subscriptions (2:14)
150. What are Management Groups (1:24)
151. Purchase Azure Product & Services : Available Options (1:14)
152. Usage Metrics (0:51)
153. Factors Affecting Costs (2:24)
154. The concept of Zones for Billing (2:09)
155. Azure Pricing Calculator (1:11)
156. Azure Total Cost of Ownership ( TCO ) (1:48)
157. Ways to Minimize Costs in Azure (3:46)
158. Azure Cost Management (1:33)
159. Azure Support Plans (3:17)
160. Alternative Support Options (1:39)
161. Service Level Agreements ( SLA's ) (3:21)
162. Composite SLA's (2:50)
163. Improving Application SLA's (3:56)
164. Public and Preview Features (1:23)
165. Providing Feedback (0:26)
166. General Availability (0:59)
167. Azure Updates , Announcements and Roadmaps (1:00)
Assignment 4: Review Questions : Module 4
Section 6: Course Conclusion
168. Course Conclusion (0:34)
Section 7: Practice Exam - I
Preparation Exam: Microsoft Azure Fundamentals (AZ-900) - I
Section 8: Practice Exam - II
Preparation Exam: Microsoft Azure Fundamentals (AZ-900) - II
Section 9: Additional lessons for Non IT Professionals
169. Introduction to Networks I (3:58)
170. Introduction to Networks II (8:06)
171. What is Compute ? (4:42)
172. Storage Fundamentals (5:27)
Section 10: A Quick Summary
173. Overview of Azure Services (10:37)
174. Azure Portal Demo (5:01)
175. Azure Portal Overview (15:29)
176. Using Azure CLI (5:14)
177. Service Categories (10:58)
178. Design a Solution - An Overview (7:15)
Section 11: Azure Ignite 2020 Updates
179. Azure Sentinel (3:43)
180. Azure Sentinel - Lab Activity (9:16)
181. CosmosDB (13:40)
59. Brief Introduction to Structured, Unstructured, and semi structured data
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