5 Courses - Master AWS, Analytics, Machine Learning, Bigdata

Explore the world of cloud computing, data analytics, big data, and machine learning with this comprehensive 5-course pack! Master essential skills for modern data-driven careers.

Here's a breakdown of what you'll learn:

• AWS Cloud Services: (27 hours 05:38:02) Dive deep into Amazon Web Services (AWS) and gain practical experience with key cloud technologies. Learn about:

  • Elastic Beanstalk: Simplify application deployment and management.
  • ELB (Elastic Load Balancing): Ensure high availability and scalability.
  • ECS (Elastic Container Service) & EKS (Elastic Kubernetes Service): Container orchestration for modern applications.
  • DynamoDB: A fully managed NoSQL database.
  • Migration Hub: Streamline your cloud migration process.

• AWS Data Analytics: (10 hours 02:38:08) Unlock the power of data with AWS's robust analytics suite. You'll cover:

  • AWS Analytics & Data Lakes: Build scalable data storage and processing solutions.
  • Amazon Athena: Perform interactive SQL queries on data in S3.
  • Amazon CloudSearch: Implement a managed search service.
  • Amazon Elasticsearch Service: Powerful search and analytics engine.
  • Amazon Kinesis: Real-time data streaming and processing.
  • Amazon Redshift: A fast, fully managed data warehouse.
  • Amazon QuickSight: Create interactive dashboards and business intelligence reports.
  • Amazon Data Pipeline: Automate data movement and transformation.
  • AWS Glue: A fully managed ETL (Extract, Transform, Load) service.

• Big Data and Hadoop Framework: (14 hours 01:20:13) Understand the fundamentals of big data processing. This course includes:

  • Big Data Introduction: Explore the history, technologies, characteristics, and applications of big data.
  • Data Lake: Learn about data lake concepts and implementation.
  • Data Science & Data Scientist: Gain insights into the role of data scientists.
  • Hadoop Introduction: A comprehensive overview of the Hadoop ecosystem.
  • HDFS (Hadoop Distributed File System): Understand the core storage component.
  • Hadoop Architecture: Explore the Hadoop architecture, assumptions, and goals.
  • Hadoop Installation Demo: Hands-on demo covering software download, integrity verification, Java/SSH configuration, and browser-based access.

• Machine Learning: (00:32:19) Get a foundational understanding of machine learning concepts.

  • Introduction to Machine Learning: Explore core algorithms and software tools.

• AWS Machine Learning: (14 hours 02:06:00) Leverage AWS for advanced machine learning applications.

  • Big Data & AWS: Integrating big data with AWS services.
  • Hadoop on Amazon EMR (Elastic MapReduce): Utilize Hadoop on AWS for scalable processing.
  • Amazon EMR Architecture: Understand the architecture of Amazon EMR.
  • TensorFlow: Explore the TensorFlow open-source machine learning framework.
  • Amazon SageMaker: Hands-on with TensorFlow (Part 1 & 2) using Amazon SageMaker.
  • AWS Deep Learning AMIs: Pre-configured AMIs for deep learning workloads.
  • AWS Translate: Natural language translation services.
  • Amazon Polly: Convert text to speech.
  • Apache MXNet: Learn about the Apache MXNet deep learning framework.

Total Duration: 12 hours 15 minutes

This course pack is perfect for anyone looking to build a career in data science, data engineering, cloud computing, or machine learning.