Some #free #online #courses from #Google, #Microsoft, #Meta, #AWS, and other big #universities

Google

• Google AI Crash Course: https://developers.google.com/machine-learning/crash-course
• Google Cloud Skills Fundamentals: https://www.cloudskillsboost.google/course_templates/60
• Android Developer Fundaments: https://google-developer-training.github.io/android-developer-fundamentals-course-concepts/
• Google Analytics for Beginners: https://analytics.google.com/analytics/academy/course/6
• Google Ads for Beginners: https://blog.hootsuite.com/google-ads/
• Google Data Science Professional Certificate: https://www.coursera.org/professional-certificates/google-data-analytics
• Google IT Support Professional Certificate: https://www.coursera.org/professional-certificates/google-it-support
• Google Project Management Professional Certificate: https://grow.google/certificates/project-management/
• Google Cybersecurity Professional Certificate: https://grow.google/certificates/cybersecurity/
• Google Digital Marketing & E-commerce Professional Certificate: https://www.coursera.org/professional-certificates/google-digital-marketing-ecommerce

Microsoft

• Microsoft Azure Fundamentals: https://learn.microsoft.com/en-us/credentials/certifications/azure-fundamentals/
• Microsoft Power BI: https://powerbi.microsoft.com/en-us/
• Microsoft Excel: https://www.microsoft.com/en-us/microsoft-365/excel
• Microsoft PowerPoint: https://www.microsoft.com/en-us/microsoft-365/powerpoint
• Microsoft Teams: https://www.microsoft.com/en-us/microsoft-teams/group-chat-software
• Microsoft Data Science Professional Certificate: https://learn.microsoft.com/en-us/credentials/certifications/azure-data-scientist/
• Microsoft Power Platform Professional Certificate: https://learn.microsoft.com/en-us/credentials/certifications/power-platform-fundamentals/
• Microsoft Azure AI Fundamentals: https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-900/
• Microsoft Security, Compliance, and Identity Fundamentals: https://learn.microsoft.com/en-us/credentials/certifications/security-compliance-and-identity-fundamentals/
• Microsoft Azure DevOps Fundamentals: https://azure.microsoft.com/en-us/solutions/devops/tutorial

Meta

• Meta Blueprint: https://www.facebookblueprint.com/
• Meta Spark: https://spark.meta.com/
• Meta AI: https://ai.meta.com/
• Meta AR/VR: https://www.meta.com/
• Meta Social Media Marketing: https://www.coursera.org/professional-certificates/facebook-social-media-marketing
• Meta Digital Marketing Professional Certificate: https://www.coursera.org/professional-certificates/facebook-social-media-marketing
• Meta Data Science Professional Certificate: https://anyinstructor.com/meta-marketing-analytics-professional-certificate/
• Meta Software Engineering Immersive: https://blockclubchicago.org/2022/06/09/meta-chicago-formerly-facebook-launches-software-engineering-courses-to-bring-more-black-people-into-tech/

AWS

• AWS Cloud Practitioner Essentials: https://aws.amazon.com/training/classroom/aws-cloud-practitioner-essentials/
• AWS Developer Fundamentals: https://aws.amazon.com/training/learn-about/developer/
• AWS Certified Solution Architect - Associate: https://aws.amazon.com/certification/certified-solutions-architect-associate/
• AWS Certified Data Analytics - Associate: https://aws.amazon.com/certification/certified-data-analytics-specialty/
• AWS Certified Machine Learning - Specialist: https://aws.amazon.com/certification/certified-machine-learning-specialty/
• AWS Cloud Practitioner Professional Certificate: https://aws.amazon.com/certification/certified-cloud-practitioner/
• AWS Solutions Architect Professional Certificate: https://aws.amazon.com/certification/certified-solutions-architect-professional/
• AWS Data Analytics Professional Certificate: https://aws.amazon.com/certification/certified-data-analytics-specialty/
• AWS Machine Learning Professional Certificate: https://aws.amazon.com/certification/certified-machine-learning-specialty/

Other big universities

• Harvard University: CS50's Introduction to Computer Science: https://pll.harvard.edu/course/cs50-introduction-computer-science
• Stanford University: Introduction to Artificial Intelligence: https://www.guru99.com/artificial-intelligence-tutorial.html
• Massachusetts Institute of Technology: Introduction to Computer Science and Programming Using Python: https://www.edx.org/learn/computer-science/massachusetts-institute-of-technology-introduction-to-computer-science-and-programming-using-python
• University of California, Berkeley: Data Science Specialization: https://www.coursera.org/specializations/jhu-data-science
• University of Michigan: Python for Data Science: https://www.coursera.org/learn/python-for-applied-data-science-ai
• Georgia Institute of Technology: Machine Learning: https://en.wikipedia.org/wiki/Machine_learning
• University of Toronto: Neural Networks and Deep Learning: http://neuralnetworksanddeeplearning.com/

Comparing #Microsoft #Azure, #AWS (#Amazon #WebServices), and #GCP (#Google #Cloud #Platform)

1. Popularity and Market Share:

   - AWS: The most popular and widely adopted cloud platform with the largest market share.

   - Azure: A close second in terms of market share and popularity.

   - GCP: Growing rapidly but still behind AWS and Azure in terms of market share.

2. Global Data Centers and Regions:

   - AWS: Operates in 25 geographical regions worldwide.

   - Azure: Operates in 60+ regions, with plans for further expansion.

   - GCP: Operates in 24 regions globally.

3. Compute Services:

   - AWS: Offers Amazon EC2 for virtual machines.

   - Azure: Provides Azure Virtual Machines.

   - GCP: Offers Google Compute Engine.

4. Container Services:

   - AWS: Amazon ECS and EKS for container management.

   - Azure: Azure Kubernetes Service (AKS) and Azure Container Instances.

   - GCP: Google Kubernetes Engine (GKE) for container orchestration.

5. Serverless Computing:

   - AWS: AWS Lambda for serverless functions.

   - Azure: Azure Functions.

   - GCP: Google Cloud Functions.

6. Storage Services:

   - AWS: Amazon S3 for object storage, Amazon EBS for block storage.

   - Azure: Azure Blob Storage, Azure Disk Storage.

   - GCP: Google Cloud Storage, Google Persistent Disk.

7. Databases:

   - AWS: Amazon RDS (Relational Database Service), Amazon DynamoDB (NoSQL).

   - Azure: Azure SQL Database, Azure Cosmos DB (NoSQL).

   - GCP: Cloud SQL, Cloud Spanner (globally distributed relational), Firestore (NoSQL).

8. Networking:

   - AWS: Amazon VPC (Virtual Private Cloud), AWS Direct Connect.

   - Azure: Azure Virtual Network, ExpressRoute.

   - GCP: Virtual Private Cloud (VPC), Dedicated Interconnect.

9. Analytics and Big Data:

   - AWS: Amazon EMR, Redshift, Athena, Glue.

   - Azure: Azure HDInsight, Azure Databricks, Azure Data Lake.

   - GCP: BigQuery, Dataprep, Dataflow.

10. Machine Learning and AI:

    - AWS: Amazon SageMaker, Lex, Rekognition.

    - Azure: Azure Machine Learning, Cognitive Services.

    - GCP: AI Platform, Vision AI, Natural Language Processing.

11. Identity and Security:

    - AWS: AWS Identity and Access Management (IAM), Cognito.

    - Azure: Azure Active Directory (AD), Azure Identity Protection.

    - GCP: Google Identity and Access Management (IAM), Identity-Aware Proxy.

12. DevOps and Management Tools:

    - AWS: AWS CloudFormation, AWS CodeDeploy.

    - Azure: Azure DevOps, Azure Resource Manager.

    - GCP: Google Cloud Deployment Manager, Cloud Source Repositories.

13. Pricing and Cost Management:

    - Pricing models vary across services and regions. Detailed cost analysis is essential to choose the most cost-effective solution.

14. Support and Documentation:

    - All three providers offer extensive documentation, a range of support plans, and active user communities.

15. Hybrid and Multi-Cloud:

    - AWS offers AWS Outposts for hybrid deployments.

    - Azure provides Azure Arc for managing resources across on-premises, multi-cloud, and edge environments.

    - GCP offers Anthos for managing applications across hybrid and multi-cloud environments.

16. Compliance and Certifications:

    - AWS, Azure, and GCP comply with various industry standards and hold certifications like ISO, SOC, and HIPAA.

17. Specialized Services:

    - Each cloud provider offers unique, specialized services. For example, AWS has AWS Lambda, Azure has Azure DevTest Labs, and GCP has BigQuery ML.

18. Customer Base:

    - AWS has a diverse customer base, including startups, enterprises, and government agencies.

    - Azure is popular among enterprises, especially those already using Microsoft products.

    - GCP attracts startups and enterprises looking for machine learning and data analytics capabilities.

19. Ecosystem and Partnerships:

    - AWS has a vast ecosystem of partners and integrations.

    - Azure leverages Microsoft's partnerships, especially in the enterprise space.

    - GCP focuses on partnerships for AI and data analytics.

20. Licensing and Vendor Lock-In:

    - Consider the implications of vendor lock-in when choosing a cloud provider. Each has its own set of proprietary services.

In summary, the choice between AWS, Azure, and GCP depends on your specific needs, existing technologies, and preferences. It's often a good idea to perform a thorough evaluation of your requirements and conduct cost comparisons before making a decision. Each provider offers a free tier and credits to help you get started and explore their services.

List of #Google #Cloud #Platform #Services

1. Google Compute Engine: Virtual machines in the cloud. #Compute #VMs

2. Google Kubernetes Engine: Managed Kubernetes for container orchestration. #Kubernetes #Containers

3. Google App Engine: Platform-as-a-Service for building and deploying web apps. #PaaS #WebApps

4. Google Cloud Functions: Serverless functions for event-driven programming. #Serverless #Functions

5. Google Cloud Storage: Scalable object storage for data, backups, and media. #Storage #Data

6. Google BigQuery: Fully managed, serverless, and highly scalable data warehouse. #BigData #Analytics

7. Google Cloud SQL: Managed relational database service. #Database #SQL

8. Google Cloud Pub/Sub: Messaging service for building event-driven systems. #PubSub #Messaging

9. Google Cloud Datastore: NoSQL database for application data. #NoSQL #Datastore

10. Google Cloud Spanner: Globally distributed, strongly consistent database. #Database #Spanner

11. Google Cloud Dataprep: Data preparation and cleaning tool. #DataPrep #ETL

12. Google Cloud Dataproc: Managed Apache Spark and Hadoop service. #BigData #Analytics

13. Google Cloud AutoML: Machine learning models without coding. #MachineLearning #AutoML

14. Google Cloud AI Platform: Machine learning development and deployment. #AI #ML

15. Google Cloud Vision: Image and video analysis for applications. #ImageRecognition #Vision

16. Google Cloud Natural Language: Text analysis for sentiment and entities. #NLP #TextAnalysis

17. Google Cloud Translation: Language translation service. #Translation #Language

18. Google Cloud Speech-to-Text: Speech recognition API. #SpeechRecognition #Voice

19. Google Cloud Text-to-Speech: Convert text to natural-sounding speech. #TextToSpeech #Voice

20. Google Cloud Video Intelligence: Video content analysis for metadata. #VideoAnalysis #Metadata

21. Google Cloud IoT Core: Managed IoT device registry and communication. #IoT #InternetOfThings

22. Google Cloud Identity and Access Management (IAM): Access control for resources. #IAM #Security

23. Google Cloud Security Command Center: Security and risk management. #Security #RiskManagement

24. Google Cloud Load Balancing: Distribute incoming network traffic. #LoadBalancing #Networking

25. Google Cloud CDN: Content Delivery Network for faster web content. #CDN #ContentDelivery

26. Google Cloud Interconnect: Direct connections to Google Cloud. #Interconnect #Connectivity

27. Google Cloud VPN: Securely connect your network to Google Cloud. #VPN #Networking

28. Google Cloud Identity Platform: Identity and user management. #Identity #UserManagement

29. Google Cloud Storage for Firebase: Cloud storage for mobile and web apps. #Firebase #MobileApps

30. Google Cloud Endpoints: Deploy APIs with ease. #APIs #Endpoints

#GoogleCloud #CloudServices

#GOOGLE #CLOUD #PLATFORM (#GCP) #CHEATSHEET

 -------------------------------------------------

|        GOOGLE CLOUD PLATFORM (GCP) CHEAT SHEET     |

--------------------------------------------------

**GCP Basics:**

1. **GCP Account:**

   - Sign up for a GCP account at [GCP Console](https://cloud.google.com/).

2. **Projects and Billing:**

   - Create projects to organize resources and set up billing.

**GCP Services:**

3. **Compute Engine:**

   - VM Instances: Create and manage virtual machines (VMs).

   - Instance Templates: Create reusable VM configurations.

4. **App Engine:**

   - Platform-as-a-Service (PaaS) for deploying web applications.

5. **Kubernetes Engine (GKE):**

   - Managed Kubernetes service for container orchestration.

6. **Cloud Functions:**

   - Serverless compute service for event-driven functions.

7. **Storage Services:**

   - Cloud Storage: Scalable object storage.

   - Cloud SQL: Managed relational databases.

   - Bigtable: Distributed NoSQL database.

   - Firestore: Serverless NoSQL database.

8. **Networking Services:**

   - VPC: Virtual Private Cloud for network isolation.

   - Load Balancing: Distribute traffic across instances.

   - Cloud DNS: Managed DNS service.

9. **Security and Identity:**

   - Identity and Access Management (IAM): User and role management.

   - Cloud Identity: Manage users and devices.

   - Key Management Service (KMS): Encryption key management.

10. **Developer Tools:**

    - Cloud Source Repositories: Version control.

    - Cloud Build: Continuous integration and delivery.

    - Cloud Debugger: Debug applications in production.

11. **Big Data and Machine Learning:**

    - BigQuery: Serverless, highly scalable data warehouse.

    - AI Platform: Machine learning platform.

    - Dataflow: Stream and batch data processing.

12. **IoT and Data Analytics:**

    - IoT Core: Manage IoT devices.

    - Pub/Sub: Messaging service for event-driven systems.

    - Dataprep: Data preparation and transformation.

**Working with GCP:**

13. **Google Cloud SDK:**

    - Install and use the Google Cloud command-line tools.

    - `gcloud init`: Initialize your GCP configuration.

    - `gcloud projects list`: List available projects.

14. **GCP Console:**

    - Access the GCP web-based management console.

    - Navigate and manage GCP resources through the console.

15. **GCP Billing and Cost Management:**

    - Monitor and manage GCP costs through the billing dashboard.

16. **GCP Documentation:**

    - [GCP Documentation](https://cloud.google.com/docs/): Comprehensive documentation for GCP services.

**GCP Resources:**

17. **GCP Best Practices:**

    - [GCP Best Practices](https://cloud.google.com/docs/best-practices): Guidance for designing well-architected systems on GCP.

18. **GCP Tutorials and Training:**

    - [Google Cloud Training](https://cloud.google.com/training/): Learn GCP skills through training resources and certification.

19. **GCP Community and Forums:**

    - [Google Cloud Community](https://cloud.google.com/community): Connect with others and ask questions in the GCP community.