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Released 2/2026 By Faye Ellis MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 2h 44m | Size: 516 MB​

Learn to design, build, and operate for reliability and business continuity on AWS. This course covers domain two of the AWS Certified CloudOps Administrator – Associate (SOA-C03) exam, preparing you to pass and build hands-on AWS operational skills.

What you’ll learn
Elevating system reliability on AWS requires practical strategies. In this course, (SOA-C03) Reliability and Business Continuity, you’ll gain the ability to configure and manage auto scaling mechanisms for EC2. First, you’ll explore scaling for AWS managed databases like RDS and DynamoDB. Next, you’ll discover how to configure resilient systems using technologies like Elastic Load Balancing. Finally, you’ll learn how to protect and restore data stored in AWS. When you’re finished with this course, you’ll have the skills and knowledge of AWS needed to build and operate for reliability and business continuity on AWS.

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Released 3/2026 By Saravanan Dhandapani MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 26m 41s | Size: 359 MB​

AWS networks are often misconfigured, leading to outages, security vulnerabilities, and costs.

What you’ll learn
AWS networks are often misconfigured, leading to outages, security vulnerabilities, and costs. In this course, (SOA-C03) Networking and Content Delivery, you’ll gain the ability to design, secure, troubleshoot, and optimize production-grade AWS networks. First, you’ll explore building VPC architectures with layered security and implementing hybrid connectivity through VPNs and Transit Gateway. Next, you’ll discover configuring intelligent DNS routing with Route 53, accelerating content delivery with CloudFront, and protecting applications using AWS WAF and Shield. Finally, you’ll learn systematic troubleshooting, implementing comprehensive logging with VPC Flow Logs, and optimizing costs. When you’re finished with this course, you’ll have the skills and knowledge of AWS networking needed to architect resilient networks, resolve incidents rapidly, and pass the AWS CloudOps Engineer Associate (SOA-C03) certification exam.

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(NEW) Cisco Certified Network Associate: CCNA 200-301
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 159 lectures (14h 44m) | Size: 4.34 GB​

This course will take you from A to Z to master Cisco CCNA 200-301 exam topics.

What you’ll learn:
Pass the Cisco CCNA 200-301 exam
Earn the Cisco CCNA certification
Network Fundamentals
Network Access
IP Connectivity
IP Services
Security Fundamentals
Automation and Programmability

Requirements
No pre-knowledge is required – enthusiasm is all you need!
A PC or Mac
Internet Access

Description
Welcome to this course: Cisco Certified Network Associate: CCNA 200-301. This course is for everyone! It will help beginners who are taking their first steps into the world of computer networks. Cisco CCNA 200-301 exam tests a candidate’s knowledge and skills related to network fundamentals, network access, IP connectivity, IP services, security fundamentals, and automation and programmability. This course will help you stay up-to date with your networking skills. It starts with the basics and will take you through everything essential to pass the certification exam. This course goes beyond what you would find in a simple technology course. It gives you a study system designed to help you not only learn facts but also to develop the skills you need to pass the exams. Also it provides you with a detailed overview of network configuration and troubleshooting. It starts with the basics and will take you through everything essential to pass the CCNA 200-301 certification exam. This course will provide real-world examples with a bunch of hands-on labs to give you immense expertise in important networking tasks, with a practical approach. So let’s get started.

Who this course is for
Software Developers
Networking students
Network administrators
Network specialists
Network support engineers

(Generative AI Leader) Google Cloud’s GenAI Offerings
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 1h 24m | 239 MB
Instructor: Joseph Lowery​

What you’ll learn

Generative AI is reshaping industries, but many business and technical leaders struggle to adopt it responsibly, securely, and at scale. In this course, (Generative AI Leader) Google Cloud’s GenAI Offerings, you’ll gain the ability to evaluate and apply Google Cloud’s generative AI capabilities in real-world enterprise scenarios.

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(GCP-PDE) Storing the Data
Released 3/2026
By Janani Ravi
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 35m 37s | Size: 373 MB​

Organizations struggle to manage growing volumes and varieties of data while keeping storage systems cost-effective, high-performance, and aligned with governance expectations.

What you’ll learn
Organizations struggle to manage growing volumes and varieties of data while keeping storage systems cost-effective, high-performance, and aligned with governance expectations. In this course, (GCP-PDE) Storing the Data, you’ll gain the ability to select, design, and manage the right storage solutions for analytical, transactional, and real-time workloads on Google Cloud. First, you’ll explore how to analyze data access patterns and map them to the appropriate storage services across Cloud Storage, BigQuery, Bigtable, Spanner, AlloyDB, and more. Next, you’ll discover how to design effective data warehouse and data lake architectures, including modeling, normalization strategies, partitioning, clustering, and lifecycle management. Finally, you’ll learn how to build a unified data platform using BigLake, Dataplex, and the Dataplex Catalog to support governance, discovery, and cross-service visibility. When you’re finished with this course, you’ll have the skills and knowledge of Google Cloud storage and data platform design needed to architect reliable, scalable, and well-governed storage solutions and tackle this subject on the Professional Data Engineer certification.

(GCP-PCD) Designing Highly Scalable, Available, and Reliable Cloud-native Applications
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 3h 4m | 441 MB
Instructor: Saravanan Dhandapani​

Modern applications must scale, stay secure, and perform reliably under real-world conditions. This course will teach you how to design, build, and deploy such applications, and make them ready for production.

What you’ll learn

Building scalable, reliable, and secure applications in the cloud is challenging, especially when systems must handle unpredictable traffic, strict security requirements, and complex integrations. In this course, (GCP-PCD) Designing Highly Scalable, Available, and Reliable Cloud-native Applications, you’ll gain the ability to architect and deploy production-ready applications on Google Cloud.

First, you’ll explore how to design high-performing services using load balancing, caching, traffic splitting, and event-driven patterns. Next, you’ll discover how to secure applications end-to-end with IAM, Identity Platform, Secret Manager, Binary Authorization, and service-to-service security. Finally, you’ll learn how to choose the right storage systems and design data models that scale across regions with strong or eventual consistency.

When you’re finished with this course, you’ll have the skills and knowledge of cloud-native application design needed to build scalable, resilient, and secure systems on Google Cloud.

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Released 2/2026 By Abhishek Kumar MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h | Size: 337 MB​

This course will teach you to confidently serve and scale your machine learning models on Google Cloud.

What you’ll learn
Moving models from experimentation to production is a critical bottleneck. In this course, (GCP-PMLE) Serving and Scaling Models, you’ll gain the ability to serve and scale machine learning models on Google Cloud. First, you’ll explore the fundamentals of model serving. Next, you’ll discover how to manage model lifecycles. Finally, you’ll learn how to master scaling and infrastructure, along with optimization and security. When you’re finished with this course, you’ll have the skills and knowledge of serving and scaling models needed to deploy production-ready ML systems.

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Released 2/2026 By Victor Dantas MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h | Size: 139 MB​

Gain the expertise to build scalable AI solutions with minimal coding. This course will teach you to leverage BigQuery ML, Google Cloud AI APIs, and AutoML to develop powerful models, implement RAG, and solve business problems efficiently.

What you’ll learn
Are you looking to unlock AI/ML capabilities on Google Cloud without getting bogged down in complex infrastructure and training code? Or perhaps you are preparing for the Google Cloud Professional Machine Learning Engineer certification exam? In this course, (GCP-PMLE) Architecting Low-code AI Solutions, you’ll learn to utilize Google Cloud’s low-code and no-code tools to build robust machine learning models and generative AI applications.
First, you will discover how to develop ML models directly where your data resides using BigQuery ML.
Next, you will explore building AI solutions using ML APIs and foundational models.
Finally, you’ll master training models using AutoML.
When you’re finished with this course, you’ll have the skills and knowledge needed to architect effective low-code AI solutions and will be fully prepared for the first section of the Professional Machine Learning Engineer exam.

Welcome to Check it Every Days
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Released 3/2026 By Janani Ravi MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 35m 37s | Size: 373 MB​

Organizations struggle to manage growing volumes and varieties of data while keeping storage systems cost-effective, high-performance, and aligned with governance expectations.

What you’ll learn
Organizations struggle to manage growing volumes and varieties of data while keeping storage systems cost-effective, high-performance, and aligned with governance expectations. In this course, (GCP-PDE) Storing the Data, you’ll gain the ability to select, design, and manage the right storage solutions for analytical, transactional, and real-time workloads on Google Cloud. First, you’ll explore how to analyze data access patterns and map them to the appropriate storage services across Cloud Storage, BigQuery, Bigtable, Spanner, AlloyDB, and more. Next, you’ll discover how to design effective data warehouse and data lake architectures, including modeling, normalization strategies, partitioning, clustering, and lifecycle management. Finally, you’ll learn how to build a unified data platform using BigLake, Dataplex, and the Dataplex Catalog to support governance, discovery, and cross-service visibility. When you’re finished with this course, you’ll have the skills and knowledge of Google Cloud storage and data platform design needed to architect reliable, scalable, and well-governed storage solutions and tackle this subject on the Professional Data Engineer certification.

Welcome to Check it Every Days
If you have any troubles with downloading, PM me

Happy Learning!!