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Free Download Cloud Computing Fundamentals for Beginners (2026)
Published 4/2026
Created by Vedika Singh
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 31 Lectures ( 4h 47m ) | Size: 1.35 GB

Learn Cloud Computing Fundamentals, Architecture, Networking, Virtualization & Service Models
What you’ll learn
✓ Understand the fundamentals of cloud computing and how cloud systems work
✓ Explain cloud architecture, networking, and virtualization concepts
✓ Identify different types of cloud computing and service models (IaaS, PaaS, SaaS)
✓ Understand cloud migration and its business impact
✓ Describe cloud characteristics, components, advantages, and challenges
✓ Understand cloud layers and reference models
✓ Gain knowledge of popular cloud platforms and their use cases
Requirements
● No prior knowledge of cloud computing is required
● Basic understanding of computers and the internet is helpful
● Willingness to learn cloud computing concepts from scratch
Description
Cloud Computing Fundamentals | Basics of Cloud Computing
Learn the fundamentals of cloud computing and essential cloud computing basics and build a strong understanding of how modern cloud systems work. This beginner-friendly course covers essential cloud computing basics, helping you understand how data is stored, processed, and managed in cloud environments.
What You Will Learn
• Introduction to Cloud Computing
• Characteristics, Components, Advantages, and Challenges
• Cloud Migration and Its Business Impact
• Cloud Networking and Architecture
• Cloud Layers and Reference Models
• Types of Cloud Computing
• Cloud Service Models
• Virtualization in Cloud Computing
• Overview of Popular Cloud Platforms
Course Overview
• Understand core cloud computing fundamentals
• Learn how cloud systems work in real-world environments
• Explore cloud architecture, networking, and virtualization
• Gain clarity on cloud types and service models
• Build a solid conceptual foundation for advanced cloud technologies
Why Take This Course
• Covers all core cloud computing fundamentals
• Beginner-friendly and easy to understand
• Structured and focused learning approach
• Updated for 2026
Why Learn Cloud Computing
• One of the most in-demand skills in IT
• Builds a strong foundation for cloud and DevOps careers
• Helps understand modern data storage and processing systems
• Supports long-term growth in evolving technology domains
Start your journey into cloud computing fundamentals and build a strong foundation for a career in modern IT.
Who this course is for
■ Beginners who want to learn cloud computing fundamentals from scratch
■ Students and graduates interested in starting a career in IT or cloud computing
■ IT professionals looking to understand cloud concepts, architecture, and networking
■ Developers and engineers who want a strong foundation in cloud computing and virtualization
■ Business professionals interested in cloud technology and its business impact
Homepage
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https://www.udemy.com/course/easy-cloud-basics

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Free Download Clinical Research Skill-Building with AI
Published 3/2026
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 49m | Size: 2.44 GB
Clinical Digital and AI Literacy, Automation, and Career Advancement.

What you’ll learn
Master AI Prompt Engineering: Write clear, structured AI prompts to automate daily clinical research tasks and save hours on routine documentation.
Implement AI-Assisted Writing: Generate GCP-aligned emails, monitoring notes, and safety narratives using GenAI tools like ChatGPT and Claude.
Apply RBQM & Data Analytics: Use AI for risk-based quality management, anomaly detection, and identifying patterns in complex clinical datasets.
Future-Proof Your Clinical Career: Build an AI-ready resume and master the digital literacy needed for high-demand roles in modern clinical operations.
Requirements
Foundational Clinical Knowledge: A basic understanding of the clinical trial lifecycle (Phase 1-4) and ICH-GCP guidelines is recommended to apply AI contextually
No Technical Coding Required: You do not need experience in Python, R, or data science; the course focuses on user-friendly AI interfaces.
Standard Computing Setup: A laptop or desktop with a reliable internet connection is essential for accessing cloud-based AI platforms
AI Tool Access: Learners should have (or be willing to create) free accounts for Generative AI tools like ChatGPT, Claude, or Google Gemini.
Critical Thinking Skills: A willingness to question and verify AI-generated outputs is vital, as human oversight remains mandatory in clinical research.
Adaptability: A growth mindset is encouraged to navigate the rapid shift from manual processes to AI-augmented workflows.
Description
Unlock the future of clinical operations with Clinical Research Skill-Building with AI: Digital Literacy, Automation, and Career Advancement. This masterclass is specifically designed to bridge the critical gap between traditional ICH-GCP guidelines and cutting-edge Generative AI technologies. Tailored for CRAs, CRCs, and Study Coordinators, the curriculum targets operational "pain points" like recruitment delays and heavy documentation burdens through high-efficiency AI integration.
Participants gain hands-on experience in Prompt Engineering for Clinical Research, learning to automate monitoring notes, safety narratives, and site correspondence without compromising compliance. The course dives deep into high-impact domains, including Risk-Based Quality Management (RBQM), automated data anomaly detection, and the evolution of AI within decentralized clinical trials. Beyond technical automation, we emphasize Executive Presence and professional communication, empowering you to lead digital transformation initiatives within your organization.
Expanded Learning Objectives
• Master AI Prompt Engineering: Develop the ability to craft structured, context-aware prompts to automate daily clinical tasks and streamline routine study documentation.
• Implement AI-Assisted Writing: Learn to generate GCP-aligned emails, monitoring logs, and complex regulatory summaries using professional GenAI tools.
• Apply RBQM & Data Analytics: Leverage AI for advanced signal detection, identifying Key Risk Indicators (KRIs), and cleaning intricate clinical datasets for improved trial integrity.
• Optimize Patient Recruitment: Utilize AI-supported screening and feasibility tools to accelerate inclusion/exclusion checks and reduce enrollment timelines.
• Integrate Digital Literacy: Gain confidence in navigating AI-supported dashboards and automation platforms essential for modern decentralized and hybrid trials.
• Future-Proof Your Career: Build an AI-ready professional portfolio and master the essential "soft skills," mindfulness, and digital literacy required for high-stakes interviews in the modern clinical landscape.
Step into the next generation of clinical research and transform your professional workflow with the power of Artificial Intelligence. Gain the competitive edge needed to lead in an AI-driven industry while maintaining the highest standards of clinical ethics and data integrity.
Who this course is for
Current Clinical Research Professionals (CRAs, CRCs, & Study Coordinators): Individuals looking to reduce their "monitoring burden" and automate repetitive documentation like safety narratives, monitoring notes, and site correspondence
Clinical Data Managers & Analytics Aspirants: Professionals aiming to transition into "Clinical Data Scientist" roles by mastering AI-powered anomaly detection, data cleaning, and predictive risk modeling.
Clinical Operations Leaders & Project Managers: Decision-makers who need to understand the ROI of AI implementation to reduce trial timelines, optimize site selection, and lead digital transformation within their organizations.
Regulatory & Medical Affairs Specialists: Writers and compliance officers who want to use GenAI to assist in drafting Clinical Study Reports (CSRs), summarizing protocols, and tracking global regulatory intelligence

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Client-side Data Persistence
Duration: 40m | .MP4 1280×720 30 fps(r) | AAC, 48000 Hz, 2ch | 118.96 MB
Genre: eLearning | Language: English​

This course will teach you how to store, retrieve, and manage data directly in the browser using Local Storage, Session Storage, and IndexedDB to create faster, more reliable, and offline-capable web apps.

More Info:
Client-side Data Persistence

Clean and Transform Data with Polars
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 41m 15s | Size: 99 MB​

Messy, inconsistent data makes analysis unreliable and slow.

What you’ll learn
Messy, inconsistent data makes analysis unreliable and slow. In this course, Clean and Transform Data with Polars, you will learn how to prepare real-world datasets for analysis using Polars’ expression-based API.
First, you’ll explore profiling data quality issues such as nulls, duplicates, and invalid values, and determining what must be fixed before analysis. Next, you’ll discover what it takes to standardize datasets.
Finally, you’ll learn about creating transformed datasets using quick checks such as row counts and null counts, and export the final, analysis-ready data to a durable format, with Parquet as the recommended option.
By the end of this course, you will have the skills and confidence to clean, transform, validate, and export data using Polars for real-world data analysis workflows.

Free Download Claude with the Anthropic API by Anthropic
Released 4/2026
With Anthropic
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 8h 11m | Size: 1.11 GB

This comprehensive course teaches developers how to integrate Claude AI into applications using the Anthropic API.
Course details
This course covers fundamental API operations, advanced prompting techniques, tool integration, and architectural patterns for building AI-powered systems using Claude and the Anthropic API. Through hands-on exercises and practical examples, learn how to implement conversational AI, retrieval-augmented generation, and automated workflows. Plus, find out how to leverage Claude’s multimodal capabilities for processing text, images, and documents. Note: This course was created by Anthropic. We are pleased to host this content in our library. Prerequisites Proficiency in Python programming Basic knowledge of handling JSON data
Skills covered
Retrieval-Augmented Generation (RAG), Anthropic Claude, Workflow Automation, Application Programming Interfaces (API), Artificial Intelligence (AI)
Homepage
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https://www.linkedin.com/learning/claude-with-the-anthropic-api-by-anthropic

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Free Download Claude with Google Cloud Vertex AI by Anthropic
Released 4/2026
With Anthropic
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 7h 51m | Size: 1.12 GB

This comprehensive course covers working with Anthropic models using Google Cloud Vertex AI.
Course details
This course provides comprehensive technical training on integrating and deploying Claude AI models through Google Cloud Vertex AI. Developers will learn to implement Claude API capabilities, from basic request handling to advanced features including tool use, retrieval-augmented generation (RAG), and the Model Context Protocol (MCP). The curriculum covers practical implementation patterns, performance optimization techniques, and production-ready workflows for building AI-powered applications. Prerequisitesroficiency in Python programming Basic knowledge of handling JSON data A Google Cloud account with Vertex AI access Note: This course was created by Anthropic. We are pleased to host this training in our library.
Skills covered
Retrieval-Augmented Generation (RAG), Anthropic Claude, Vertex, Artificial Intelligence (AI), Model Context Protocol (MCP)
Homepage
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https://www.linkedin.com/learning/claude-with-google-cloud-vertex-ai-by-anthropic

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Free Download Claude with Amazon Bedrock by Anthropic
Released 3/2026
With Anthropic
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 7h 26m | Size: 1 GB

Discover the essential skills and core concepts of working with Anthropic models using Amazon Bedrock, the popular AWS platform for building AI agents and applications.
Course details
Building production AI applications with Claude requires more than API access-you need systems that handle retrieval, tool use, caching, and scale. Amazon Bedrock provides the managed infrastructure to build these systems in the AWS ecosystem. This course teaches you to implement Claude’s API, create production-ready applications, and apply advanced capabilities including tool use, retrieval-augmented generation (RAG), and autonomous agents.Get started with core API implementation patterns, then learn how to build RAG systems and conversational AI pipelines. Along the way, find out how to develop autonomous agents for tasks like code generation and debugging, and learn performance optimization techniques including caching and scalable architecture design.Note: This course requires basic Python programming proficiency and a basic understanding of AWS services and Amazon Bedrock.This course was created by Anthropic. We are pleased to host this training in our library.
Skills covered
Retrieval-Augmented Generation (RAG), AI Agents, Anthropic Claude, Amazon Bedrock, Artificial Intelligence (AI), Application Development
Homepage
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https://www.linkedin.com/learning/claude-with-amazon-bedrock-by-anthropic

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Free Download Claude Practical Applications
Released 3/2026
By Dan Tofan
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 22m 9s | Size: 52 MB

Knowing how to write a good prompt is valuable, but real-world tasks rarely fit into a single prompt.
What you’ll learn
Knowing how to write a good prompt is valuable, but real-world tasks rarely fit into a single prompt. Research requires synthesizing multiple sources, analysis demands structured comparisons, and deliverables need iterative refinements within a single workflow.
Homepage
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https://app.pluralsight.com/ilx/video-courses/practical-applications-claude/course-overview

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Free Download Claude for Sales Teams From First Prompt to Closed Deals
Published 3/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 53m | Size: 1.8 GB
Build your AI-powered sales system: prospecting, outreach, follow-ups, objection handling, and content creation

What you’ll learn
Use Claude to build a complete sales workflow from prospecting to closing
Write high-converting outreach and follow-up messages with AI
Structure and control prompts for consistent sales results
Identify customer pain points and personalize communication at scale
Handle objections and prepare sales calls using AI support
Create proposals and sales content that improve conversion rates
Requirements
Basic understanding of sales processes and willingness to apply AI tools in real workflows; no prior experience with Claude required
Description
This course contains the use of artificial intelligence.
Sales teams are already experimenting with AI in their daily work – writing outreach messages, generating follow-ups, preparing proposals, and researching prospects. In most cases, this happens without a clear system or understanding of how to guide and control the output.
As a result, AI becomes part of the workflow before it becomes part of the skillset.
The question is no longer whether AI should be used in sales.
The question is whether it is used with structure, clarity, and consistent execution.
This course teaches how to work with Claude intentionally – as a practical tool for real sales processes.
You will learn how to use Claude for prospecting, outreach, follow-ups, objection handling, and content creation. You will also understand how Claude interprets prompts, how to structure instructions, and how to control output quality across different sales scenarios.
By the end of the program, Claude will not feel like an experiment. It will become a structured part of how you approach communication, preparation, and deal execution.
What You’ll Learn
• Use Claude to find and qualify leads
• Write personalized outreach messages
• Build structured follow-up sequences
• Handle objections with AI support
• Create sales content and proposals
• Apply prompt frameworks for consistent outputs
After Completing This Course, You Will Be Able To
• Integrate Claude into your daily sales workflow
• Work faster without losing message quality
• Structure communication across the sales funnel
• Use AI as a thinking and execution partner
Requirements
• Basic understanding of sales processes
• Willingness to apply structured workflows
• No prior experience with Claude required
AI is already influencing how sales teams operate.
The question is whether you are using it randomly – or building a system around it.
This course gives you the structure to move from isolated prompts to a repeatable sales process.
Join in.
This course contains a promotion
Who this course is for
Sales professionals who want to use AI to work faster and close more deals
Sales managers and team leads looking to improve team productivity with AI
Anyone interested in applying Claude to real sales workflows

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