What you'll get
- 97+ Hours
- 23 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Fundamental concepts of cloud computing and virtualization.
- Core principles of AWS and Microsoft Azure.
- Essentials of cloud storage, networking, and security.
- Hands-on experience with Azure Data Lake and Azure Data Factory.
- Techniques for deploying and managing cloud-based applications.
- Skills in cloud-driven analytics and infrastructure management.
- Hands-on experience gained through real-life scenarios and applied case studies.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| AWS Amazon Web Services Cloud 2019 | 8h 58m | ✔ | View Curriculum |
| AWS Certified Solution Architect - Associate 2019 | 9h 4m | ✔ | View Curriculum |
| Amazon Cloud Computing - Hosting an ASP.NET Website on Amazon EC2 | 7h 24m | ✔ | View Curriculum |
| AWS Technical Essentials Training | 7h 01m | ✔ | View Curriculum |
| AWS Simple Email Service | 2h 3m | ✔ | View Curriculum |
| AWS Certified DevOps Engineer 2019 | 4h 39m | ✔ | View Curriculum |
| AWS Certified SysOps Administrator - Associate 2019 | 8h 4m | ✔ | View Curriculum |
| Virtualization and Cloud Computing | 58m | ✔ | View Curriculum |
| Cloud Migration | 3h 4m | ✔ | View Curriculum |
| Cloud Computing for Business Users | 1h 57m | ✔ | View Curriculum |
| EXIN Cloud Computing Tutorials | 2h 36m | ✔ | View Curriculum |
| Cloud Computing | 2h 46m | ✔ | View Curriculum |
| Cloud Computing Fundamentals | 2h 05m | ✔ | View Curriculum |
| AWS Certified DevOps Engineer Module #3 | 57m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Microsoft Azure | 11h 8m | ✔ | View Curriculum |
| Microsoft Azure Essentials | 6h 39m | ✔ | View Curriculum |
| Azure Data Lake Tutorials | 6h 13m | ✔ | View Curriculum |
| Azure Data Factory Tutorial | 4h 6m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Microsoft Azure PAAS Overview | 1h 52m | ✔ | View Curriculum |
| Developing Your Applications on Azure | 4h 19m | ✔ | View Curriculum |
| Migration of Websites and Databases to Azure | 2h 32m | ✔ | View Curriculum |
| Migrating .NET-based web applications to Azure PAAS | 1h 43m | ✔ | View Curriculum |
| Chef Devops Essentials | 2h 21m | ✔ | View Curriculum |
Description
This Cloud Computing Training delivers a thorough introduction to today’s leading cloud technologies. Learners explore virtualization, cloud infrastructure, major platforms such as AWS and Microsoft Azure, and key tools including Azure Data Lake, Azure Data Factory, and cloud analytics solutions.
The course emphasizes bridging theory with practice, enabling participants to understand deployment models, manage cloud environments, and process data effectively. The course serves both beginners and professionals looking to advance their skills, providing the technical expertise needed to effectively handle cloud projects and build a career in cloud computing and data analytics.
Sample Certificate
Goals
- Build a solid understanding of cloud computing principles.
- Develop hands-on experience with AWS and Microsoft Azure.
- Master deployment, monitoring, and management of cloud applications.
- Gain proficiency in cloud data processing and analytics.
- Prepare for a career in cloud-enabled operations or analytics.
Objectives
By the end of the course, participants will be able to:
- Explain core cloud computing and virtualization concepts.
- Navigate AWS and Microsoft Azure platforms efficiently.
- Utilize cloud storage, networking, and security features effectively.
- Set up and oversee applications within a cloud platform.
- Apply cloud analytics and infrastructure solutions to real-world scenarios.
- Demonstrate practical skills through case studies and exercises.
Highlights
- In-depth coverage of AWS and Microsoft Azure fundamentals.
- Hands-on modules for Azure Data Lake and Azure Data Factory.
- Practical exercises and real-world case studies.
- Cloud storage, networking, and security insights.
- Analytics and infrastructure management in cloud settings.
- Career-oriented skills for cloud computing and data analytics.
Requirements
- Basic understanding of business operations.
- Familiarity with simple math and data concepts.
- A keen interest in logistics, supply chain, or operations management.
- No advanced technical knowledge required.
Target Audience
- Students exploring logistics, supply chain, or cloud basics.
- Working professionals aiming to enhance operational or technical skills.
- Career switchers seeking entry into cloud computing or the supply chain.
- Entrepreneurs looking to optimize business processes with cloud solutions.
FAQ
Q1. Do I need programming experience to join?
No, this course does not require prior programming knowledge.
Q2. Can I learn both AWS and Azure in this course?
Yes, learners gain foundational knowledge and hands-on practice with both platforms.
Q3. Is this course suitable for career changers?
Absolutely, this course prepares individuals to enter roles in cloud computing or data analytics.
Q4. Will there be practical exercises?
Yes, the course includes real-world use cases and hands-on projects.
Career Benefits
- Entry into cloud computing, data analytics, and IT operations roles.
- Improved employability for logistics, supply chain, and operations professionals.
- Hands-on experience to strengthen resumes and professional profiles.
- Foundation to pursue advanced cloud certifications, such as AWS Certified Cloud Practitioner or Microsoft Azure Fundamentals.
