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/

#List of some popular #AWS #services

1. Amazon EC2 (Elastic Compute Cloud):

   - Description: Virtual servers in the cloud that you can configure and scale as needed.

   - #AWS #EC2 #VirtualServers

2. Amazon S3 (Simple Storage Service):

   - Description: Scalable object storage for storing and retrieving data, such as files or backups.

   - #AWS #S3 #ObjectStorage

3. Amazon RDS (Relational Database Service):

   - Description: Managed database service for popular databases like MySQL, PostgreSQL, and more.

   - #AWS #RDS #ManagedDatabases

4. Amazon Lambda:

   - Description: Serverless computing service that lets you run code in response to events.

   - #AWS #Lambda #Serverless

5. Amazon VPC (Virtual Private Cloud):

   - Description: Networking service that allows you to create isolated networks in the AWS cloud.

   - #AWS #VPC #Networking

6. Amazon ECS (Elastic Container Service):

   - Description: Managed container orchestration service for running Docker containers.

   - #AWS #ECS #Containers

7. Amazon Redshift:

   - Description: Data warehousing service for analyzing large datasets.

   - #AWS #Redshift #DataWarehousing

8. Amazon SNS (Simple Notification Service):

   - Description: Messaging service for sending notifications and alerts.

   - #AWS #SNS #Notifications

9. Amazon SQS (Simple Queue Service):

   - Description: Managed message queue service for decoupling components in applications.

   - #AWS #SQS #MessageQueue

10. Amazon CloudWatch:

    - Description: Monitoring and logging service to gain insights into AWS resources and applications.

    - #AWS #CloudWatch #Monitoring

11. Amazon Elastic Beanstalk:

    - Description: Platform as a Service (PaaS) for deploying and managing web applications.

    - #AWS #ElasticBeanstalk #PaaS

12. Amazon DynamoDB:

    - Description: Managed NoSQL database service for fast and scalable data storage.

    - #AWS #DynamoDB #NoSQL

13. AWS IAM (Identity and Access Management):

    - Description: Service for controlling access to AWS resources securely.

    - #AWS #IAM #Security

14. AWS Glue:

    - Description: Fully managed ETL (Extract, Transform, Load) service for data preparation.

    - #AWS #Glue #ETL

15. Amazon Route 53:

    - Description: Scalable and highly available domain name system (DNS) web service.

    - #AWS #Route53 #DNS

16. AWS Lambda Layers:

    - Description: Share code and resources across multiple Lambda functions.

    - #AWS #LambdaLayers #Serverless

17. AWS Elastic Load Balancing:

    - Description: Automatically distribute incoming traffic across multiple EC2 instances.

    - #AWS #ELB #LoadBalancing

18. AWS Step Functions:

    - Description: Coordinate multiple AWS services into serverless workflows.

    - #AWS #StepFunctions #Serverless

19. Amazon Aurora:

    - Description: High-performance relational database compatible with MySQL and PostgreSQL.

    - #AWS #Aurora #Database

20. Amazon CloudFront:

    - Description: Content delivery network (CDN) service for faster content delivery.

    - #AWS #CloudFront #CDN

#AWS #Identity and #Access #Management (#IAM)

AWS Identity and Access Management (IAM) is like having a set of keys to access different rooms in a building. Let me explain it in simple terms:

__1. IAM Users:__

   - Imagine the building as your AWS account, and each room inside the building as a specific service or resource in AWS, like a storage area, a database, or a server.

   - Now, think of IAM users as people who need to access these rooms. Each user gets their own key.

__2. IAM Groups:__

   - Sometimes, you have groups of people who need access to the same rooms. IAM groups are like groups of users who share access to specific services.

   - Instead of giving each person a key, you can give a key to the group leader, and everyone in the group gets access to the same rooms.

__3. IAM Policies:__

   - Policies are like rules or instructions written on a piece of paper that say who can access which rooms and what they can do inside those rooms.

   - For example, you can have a policy that says, "User A can access Room 1 and Room 2 but can only read in Room 1, not delete anything."

__4. IAM Roles:__

   - Roles are like special passes that you give to temporary visitors. They are not for users but for services or applications.

   - These passes specify what a service can do and which rooms it can access. For example, you can have a role for a backup service that allows it to access your storage room for backup purposes.

__5. Root User:__

   - The root user is like the owner of the building who has access to all rooms and can give keys and set rules for others.

   - It's essential to keep the root user's key safe and not use it for everyday tasks to ensure security.

__6. Multifactor Authentication (MFA):__

   - MFA is like adding an extra layer of security. It's like needing both a key and a fingerprint to open a door.

   - With MFA, even if someone gets hold of your key, they can't access a room without your fingerprint (or another authentication method).

__7. Access Control:__

   - IAM helps you control who can enter which rooms, what they can do there, and when they can access them.

   - You can specify permissions precisely, so someone might have access to one room but not another.

In summary, AWS IAM is like being the manager of a building, deciding who can access which rooms, what they can do in those rooms, and keeping everything secure by providing keys, passes, and rules to the right people or services. It helps you control access to your AWS resources and keep your AWS account safe.

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