Cloud Architecture Pro: Design & Engineer Aws, Azure, Gcp!

From Fundamentals to Advanced Techniques in Cloud Engineering

What you'll learn

The fundamentals of cloud computing, including cloud models (IaaS, PaaS, SaaS) and deployment models (public, private, hybrid).

The role and responsibilities of a Cloud Engineer in designing, implementing, and scaling cloud solutions.

An in-depth understanding of the core services and features offered by major cloud providers: AWS, Azure, and GCP.

How to design and configure cloud networks, including VPCs, subnets, routing, load balancing, and auto-scaling.

Cloud security best practices, including identity and access management, network and application security, and compliance.

Cloud storage and database options, including object, block, and file storage, as well as relational and NoSQL databases.

Deploying and monitoring cloud applications using containerization, serverless computing, CI/CD pipelines, and performance monitoring tools.

Designing and implementing robust cloud architectures that ensure high availability, fault tolerance, and scalability.

Preparing for popular cloud certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, and GCP Architect

Tips and strategies for building a successful cloud engineering career, including developing a portfolio, networking, and staying current with industry trends.

Requirements

Basic understanding of computer networks, including IP addressing, DNS, and routing.

Familiarity with general IT concepts, such as servers, databases, storage, and virtualization.

Experience with at least one programming or scripting language (e.g., Python, JavaScript, Bash) is beneficial but not mandatory.

Knowledge of operating systems, particularly Windows and Linux, and their basic administration tasks.

A willingness to learn and experiment with cloud technologies and concepts.

Access to a computer with a stable internet connection to follow along with hands-on exercises and demos.

An account with AWS, Azure, and/or GCP for practical exercises. Note that some features and services used in the course may require credit card information for account activation; however, most cloud providers offer free tiers or trial periods to help minimize costs.

No prior experience with cloud platforms is required, as the course will provide an introduction and foundational knowledge for each platform.

Description

Learn the Essential Skills to Launch Your Cloud Computing Career!This intensive course provides beginning students with everything they need to start a successful career in the dynamic field of cloud computing. Gain proficiency as a cloud engineer by mastering the technical and soft skills most in demand by employers.Through expert instruction and hands-on labs, you will become fluent in fundamental concepts like IaaS, PaaS, SaaS, public/private/hybrid cloud, virtualization, scalability, availability, disaster recovery, automation, security, compliance, and more. Master the services and capabilities of the major cloud platforms – AWS, Azure, and Google Cloud. Develop real-world skills through guided projects deploying cloud solutions with these providers.Build a strong foundation in core infrastructure services like compute, storage, networking, and databases. Learn how to design resilient architectures leveraging best practices for high availability, fault tolerance, encryption, access controls, load balancing, and auto-scaling. Gain proficiency in managing costs, monitoring usage, optimizing performance, and ensuring robust security.Throughout the course, you will develop critical abilities like solution architecture design, releasing software, infrastructure automation, troubleshooting, and debugging cloud systems. Our blended curriculum incorporates soft skills like communication, collaboration, documentation, and stakeholder management.Completing this comprehensive program will prepare you to excel in an entry-level cloud engineering role. Add relevant skills and hands-on experience to your resume. Validate your knowledge by earning an industry-recognized AWS, Azure, or Google Cloud certification.This course equips you with the right blend of technical expertise, practical skills, and software delivery lifecycle knowledge to thrive as a cloud computing professional. The cloud skills you develop will enable you to architect innovative solutions, streamline operations, enhance security, and drive growth for organizations seeking expertise in cloud technologies.Enroll now to start your exciting career in this high-demand field!

Overview

Section 1: Introduction to Cloud Engineering

Lecture 1 Welcome to the Course!

Lecture 2 What is Cloud Engineering?

Lecture 3 The role of a Cloud Engineer

Lecture 4 AI in Cloud Engineering

Lecture 5 Key cloud providers: AWS, Azure, and GCP

Lecture 6 Setting up your cloud environment

Lecture 7 Cloud computing concepts and terminology

Lecture 8 Section 1 Takeaways

Section 2: Cloud Computing Fundamentals

Lecture 9 Cloud computing models: IaaS, PaaS, SaaS, and FaaS

Lecture 10 Deployment models: public, private, and hybrid cloud

Lecture 11 Understanding virtualization

Lecture 12 Cloud security and compliance

Lecture 13 Migrating workloads to the cloud

Section 3: Amazon Web Services (AWS)

Lecture 14 Introduction to Cloud Providers

Lecture 15 Overview of AWS services

Lecture 16 Setting up an AWS account

Lecture 17 AWS core services: EC2, S3, RDS, and VPC

Lecture 18 Implementing a sample application on AWS

Lecture 19 AWS advanced services and features

Section 4: Microsoft Azure

Lecture 20 Overview of Azure services

Lecture 21 Setting up an Azure account

Lecture 22 Azure core services: VMs, Storage, SQL Database, and Virtual Networks

Lecture 23 Implementing a sample application on Azure

Lecture 24 Azure advanced services and features

Section 5: Google Cloud Platform (GCP)

Lecture 25 Overview of GCP services

Lecture 26 Setting up a GCP account

Lecture 27 GCP core services: Compute Engine, Cloud Storage, Cloud SQL, and VPC

Lecture 28 Implementing a sample application on GCP

Lecture 29 GCP advanced services and features

Lecture 30 Setting the Stage

Section 6: Cloud Networking and Security

Lecture 31 Designing cloud networks: VPCs, subnets, and routing

Lecture 32 Load balancing and auto-scaling

Lecture 33 Cloud security best practices

Lecture 34 Identity and access management (IAM)

Lecture 35 Network and application security

Section 7: Cloud Storage and Databases

Lecture 36 Cloud storage types: object, block, and file storage

Lecture 37 Cloud databases: relational and NoSQL databases

Lecture 38 Data migration and replication

Lecture 39 Backup, recovery, and disaster recovery

Lecture 40 Performance optimization and database management

Section 8: Cloud Application Deployment and Monitoring

Lecture 41 Containerization: Docker and Kubernetes

Lecture 42 Serverless computing

Lecture 43 CI/CD pipelines in the cloud

Lecture 44 Application performance monitoring and logging

Lecture 45 Cost optimization and resource management

Section 9: Designing and Implementing Cloud Architectures

Lecture 46 Best practices for cloud architecture design

Lecture 47 Design patterns for high availability, fault tolerance, and scalability

Lecture 48 Multi-cloud and hybrid cloud strategies

Lecture 49 Real-world case studies and examples

Lecture 50 Assessing and optimizing existing cloud architectures

Section 10: Preparing for Cloud Certifications

Lecture 51 How to prepare for cloud certification

Lecture 52 AWS Certified Solutions Architect

Lecture 53 Microsoft Certified: Azure Solutions Architect Expert

Lecture 54 Google Cloud Professional Cloud Architect

Lecture 55 Study tips and resources

Section 11: Cloud Engineering Career Tips and Strategies

Lecture 56 The Critical Importance of AI Skills and Knowledge

Lecture 57 The Transformative Impact of Cloud on 5G Networks

Lecture 58 Building a cloud engineering portfolio

Lecture 59 Networking and community involvement

Lecture 60 Staying up-to-date with cloud technologies

Lecture 61 Tips for job interviews and salary negotiation

Lecture 62 Professional development and growth opportunities

Section 12: Course Conclusion and Next Steps

Lecture 63 Course recap and key takeaways

Lecture 64 Continuing your cloud engineering journey

Lecture 65 Additional resources and learning paths

Lecture 66 Staying connected with the instructor and fellow students

Lecture 67 Providing feedback and sharing your success stories

IT professionals, such as system administrators, network engineers, and developers, looking to transition into a cloud engineering role or expand their skill set to include cloud technologies.,Students pursuing a career in cloud computing, seeking a comprehensive understanding of cloud architecture and its implementation across major cloud providers (AWS, Azure, and GCP).,Solution architects or consultants who want to deepen their expertise in designing and implementing cloud-based solutions for their clients or organizations.,IT managers and team leads who want to better understand the cloud landscape and its benefits, in order to make informed decisions about adopting cloud technologies.,Professionals preparing for cloud certification exams, such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, and Google Cloud Professional Cloud Architect.,Anyone with a general interest in cloud computing and a desire to learn more about cloud architecture, implementation, and best practices across various platforms.