Course Details

Microsoft Azure Full Course

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What Will You Learn?

In this comprehensive and free Azure course, you will learn and understand Azure and its services in detail. Ideal for both beginners and professionals, this Azure tutorial is designed to help you master Azure services, making it an ideal resource for anyone seeking to enhance their proficiency in Microsoft Azure.

About This Course

Provider: Youtube
Format: Online
Duration: hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: Upon completion of this free Course, you will gain a detailed understanding of Azure and its services.
Course Prerequisites: NA
Assessment and Certification: NA
Instructor: Edureka
Key Topics: Cloud Computing, Microsoft Azure
Topic Covered: 
  1. - Introduction to Azure Full Course
  2. - Why Cloud?
  3. - Before Cloud Computing
  4. - What is Cloud?
  5. - What is Cloud Computing?
  6. - Service Models
  7. - SaaS
  8. - PaaS
  9. - IaaS
  10. - Deployment Models
  11. - Public Cloud
  12. - Private Cloud
  13. - Hybrid Cloud
  14. - Cloud Providers
  15. - Azure Fundamentals
  16. - Compute Domain
  17. - Blob Storage
  18. - torage
  19. - Network Domain
  20. - Virtual Networks
  21. - What is Virtual Machine?
  22. - Why Virtual Networks?
  23. - What is Virtual Network?
  24. - What are Azure Subnet?
  25. - Network Security Groups
  26. - Virtual Network Architecture
  27. - Access Management
  28. - Data Factory Concepts
  29. - What is Data Lake?
  30. - Data Lake Concepts
  31. - Data Lake vs Data Warehouse
  32. - Important Services & Pointers
  33. - Azure Machine Learning
  34. - Machine Learning
  35. - Machine Learning Algorithms
  36. - Various Processes in ML Lifecycle
  37. - Microsoft Azure ML Studio
  38. - Azure IoT
  39. - What is IoT?
  40. - IoT on Azure
  41. - Azure IoT Components
  42. - Azure BoT Service
  43. - What are ChatBots?
  44. - Need for Chatbots
  45. - AWS vs Azure vs GCP
  46. - Security
  47. - Integration
  48. - Analytics & ML
  49. - DevOps
  50. - Hybrid Capabilities
  51. - PaaS Offerings
  52. - Learning Curve
  53. - Scalability

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