• views: 215
• date: 11 August 2026
• posted by: 0nelove

Cinematic Ai Video Creation Mastery With Claude & Kling Ai
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 55m | Size: 2.33 GB

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• views: 137
• date: 11 August 2026
• posted by: 0nelove

Child And Adolescent Mental Health (camh) Foundation Course
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 31m | Size: 3.38 GB

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• views: 133
• date: 11 August 2026
• posted by: 0nelove

Cc - Certified In Cybersecurity For Defense || Updated ||
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 23m | Size: 1.18 GB

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• views: 177
• date: 11 August 2026
• posted by: 0nelove

Capcut Video Editing Beginner To Expert
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.36 GB

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• views: 129
• date: 11 August 2026
• posted by: 0nelove

Building A Digital Accessibility Culture
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 880.06 MB

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• views: 119
• date: 11 August 2026
• posted by: 0nelove

Build Insightful Dashboards In Power Bi
Published 8/2026
Created by Chandeep Chhabra
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 25 Lectures ( 3h 9m ) | Size: 4.3 GB

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• views: 82
• date: 11 August 2026
• posted by: 0nelove

Aws Certified Data Engineer Associate Dea-C01 Prep
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 11m | Size: 665.33 MB

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• views: 109
• date: 11 August 2026
• posted by: 0nelove

Automate Literally Everything With Python
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 11h 19m | Size: 4.19 GB

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• views: 90
• date: 11 August 2026
• posted by: 0nelove

Amazon Seller Circle: How To Source & Sell On Amazon
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 4m | Size: 942.86 MB

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• views: 58
• date: 11 August 2026
• posted by: 0nelove

Ai-Engineer
Published 8/2026
Created by Cleuton Sampaio
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 76 Lectures ( 11h 57m ) | Size: 13.6 GB

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• views: 179
• date: 11 August 2026
• posted by: 0nelove

Ai Security Bootcamp-Guardrails,llm Gateways,observability
Last updated 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 69h 37m | Size: 52.81 GB

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• views: 97
• date: 11 August 2026
• posted by: 0nelove

Ai For Writers: Write Faster Without Losing Your Voice
Published 8/2026
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 2m | Size: 1.39 GB

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• views: 99
• date: 11 August 2026
• posted by: 0nelove

Ai Devops — Build Smarter, Deploy Faster
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 10h 4m | Size: 4.27 GB

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• views: 60
• date: 11 August 2026
• posted by: 0nelove

Ai Agent Governance And Observability
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.38 GB | Duration: 6h 42m
Identity, policy-as-code, OpenTelemetry tracing, compliance mapping, and safe deployment for autonomous LLM-based agents
What you'll learn
Design and implement identity, policy, and observability controls that govern autonomous AI agents in production enterprise environments
Build OpenTelemetry-based tracing and evaluation pipelines that provide auditor-grade evidence of every agent action, tool call, and decision
Architect zero-trust agent sandboxes with scoped credentials, runtime circuit breakers, and automated rollback for safe production deployment
Plan and execute governed legacy system modernization using agentic discovery, characterization testing, and progressive migration with rollback
Operate a centralized governance control plane with policy-as-code (OPA/Cedar), shared telemetry schemas, and multi-agent delegation governance
Requirements
Working knowledge of software engineering and cloud-native infrastructure (containers, CI/CD, APIs, microservices)
Basic familiarity with large language models and how LLM-based applications work (prompt, response, tool calling)
Architect zero-trust agent sandboxes with scoped credentials, runtime circuit breakers, and automated rollback for safe production deployment
Description
This course contains the use of artificial intelligence. AI agents are moving from demos to production. They call tools, access data, make decisions, and take actions autonomously. Most teams ship them with application-level guardrails and hope for the best.This course teaches you to govern AI agents as runtime infrastructure - not as chatbots with extra steps.You will learn to build the production control plane that enterprises, SaaS platforms, and regulated industries require before an autonomous agent touches real users, real data, or real money.WHAT MAKES THIS COURSE DIFFERENT:This is not a prompt engineering course. It is not a framework tutorial. It is the engineering discipline that sits between "the agent works in staging" and "the agent is trusted in production."Every lesson is built around a single running scenario - a fictional enterprise insurer called Thornfield - so you see how each control (identity, tracing, evaluation, policy, approval, rollback) works in a realistic system with real constraints.WHAT YOU WILL BUILD (CONCEPTUALLY):- A zero-trust identity model where every agent has scoped, short-lived credentials and no ambient authority- An OpenTelemetry-based observability pipeline that captures full agent trajectories - every LLM call, tool invocation, retrieval, and decision - as structured, queryable traces- A continuous evaluation framework with offline test suites, online monitors, and human-in-the-loop escalation- Policy-as-code enforcement using OPA/Rego and Cedar that gates agent actions at runtime, not just at review time- Approval workflows for high-stakes agent actions with named human accountability- Incident response procedures designed for agents that keep acting while broken- Compliance mapping that binds EU AI Act, ISO 42001, SOC 2, and model risk obligations to technical controls and machine-verifiable evidence- A governed legacy modernization program using agentic code discovery, runtime telemetry, characterization testing, and progressive migrationCOURSE STRUCTURE:Module 1: Why agents need governance (the problem space)Module 2: Identity and access control for agentsModule 3: Observability - tracing agent behavior end to endModule 4: Evaluation frameworks - testing agents continuouslyModule 5: Human oversight and approval architecturesModule 6: Production operations - incidents, drift, releases, ownershipModule 7: Governance at scale - control planes, policy, compliance, multi-agent systemsModule 8: Legacy modernization with AI agents (integrative case study)Each module contains 5 lessons. The course follows a single enterprise scenario throughout, so controls build on each other rather than being taught in isolation.WHO THIS COURSE IS FOR:- Platform engineers deploying agents to production- SREs who will operate and monitor agent systems- Security engineers who need audit trails and policy enforcement- Engineering leaders making build-or-buy decisions for agent infrastructure- Compliance teams mapping AI regulations to technical evidence- Architects designing multi-agent enterprise systemsWHAT THIS COURSE IS NOT:- Not a prompt engineering or LLM fine-tuning course- Not tied to a specific framework (LangChain, CrewAI, AutoGen, etc.)- Not a beginner AI/ML course - you should understand how LLM-based applications work- Not a vendor pitch - concepts are tool-agnostic and apply across cloud providers and agent frameworksThe course is designed for engineers and technical leaders in enterprise, SaaS, fintech, and regulated industries who need to ship AI agents that are observable, governable, auditable, and safe.
Platform engineers and SREs building infrastructure to deploy, monitor, and govern AI agents in production,Engineering managers and tech leads responsible for shipping AI agent features safely in enterprise or regulated environments,Security and compliance engineers who need to audit, control, and produce evidence for AI agent systems under SOC 2, ISO 42001, or EU AI Act,Solutions architects designing multi-agent systems, LLMOps pipelines, or AI-powered automation for enterprise and SaaS products

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• views: 86
• date: 11 August 2026
• posted by: 0nelove

50 Days Of C++: From Zero To Make Pro Level Apps
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 26h 45m | Size: 10.35 GB

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• views: 69
• date: 11 August 2026
• posted by: AD-TEAM

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• views: 184
• date: 11 August 2026
• posted by: 0nelove

Zen Business: 100 Days, 100 Dreams
Published 8/2026
Created by Naoshi Uchida
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 100 Lectures ( 5h 36m ) | Size: 3.2 GB

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• views: 167
• date: 11 August 2026
• posted by: 0nelove

Sql For Beginners: Learn Sql Fast With Ai
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 719.03 MB | Duration: 2h 55m
Learn SQL from scratch with hands-on practice, challenges and AI to generate, debug and verify queries.
What you'll learn
Write SQL queries from scratch to retrieve, filter, sort and analyze data.
Filter data confidently using WHERE, AND, OR, IN, BETWEEN, LIKE, and NULL conditions.
Analyze data using SUM, COUNT, AVG, MIN, MAX, GROUP BY, and HAVING.
Combine data from multiple tables using INNER JOIN and LEFT JOIN.
Solve practical SQL problems through hands-on exercises, quizzes and challenges.
Use AI to generate SQL queries from natural-language requests and database context.
Write better AI prompts and use AI to explain and debug SQL queries.
Verify AI-generated SQL by checking JOINs, filters, aggregations, logic, and query results.
Requirements
No programming or SQL experience is required.
A computer with an internet connection is all you need.
A web browser is enough to follow the course exercises and use the demonstrated AI tools.
No previous experience with AI tools is required — the AI workflow is demonstrated step by step.
A willingness to practice SQL yourself will help you get the most from the course.
Description
Want to learn SQL quickly without spending hours on unnecessary theory?This beginner-friendly course takes you from your first SQL query to practical data analysis, JOINs, SQL challenges, and modern AI-assisted workflows.You'll learn SQL by doing. Short explanations are followed by hands-on exercises, quizzes, datasets, and challenges so you can practice each new skill immediately.And unlike a traditional beginner SQL course, you'll also learn how to use AI without blindly trusting it.You'll generate SQL with AI, write better prompts, debug queries, understand unfamiliar SQL, and — most importantly — verify whether AI-generated SQL is actually correct.No previous SQL, programming, database, or AI experience is required.WHAT YOU'LL LEARNBy the end of this course, you'll be able to:Write SQL queries using SELECT and FROMFilter data with WHERE, AND, OR, IN, BETWEEN, and LIKEWork correctly with NULL valuesSort query results using ORDER BYCreate clearer query results with aliasesAnalyze data using SUM, COUNT, AVG, MIN, and MAXUse LIMIT and DISTINCTSummarize data using GROUP BYFilter grouped results using HAVINGCombine multiple tables using INNER JOIN and LEFT JOINSolve practical SQL challenges independentlySQL SKILLS FOR THE AI ERAAI can generate a SQL query in seconds.Knowing whether that query is actually correct is what really matters.That's why this course doesn't teach you to blindly copy AI-generated SQL. You'll learn to understand it, debug it, verify it, and stay in control of the query yourself.You'll learn how to:Generate SQL queries with AI from natural-language requestsWrite better AI prompts using tables, columns, relationships, and database contextUse AI to debug SQL and understand what went wrongAsk AI to explain unfamiliar SQL step by stepIdentify assumptions and potential mistakes in AI-generated queriesVerify JOINs, filters, aggregations, grouping, and query logicRun and sanity-check AI-generated results before trusting themCompare your own SQL solution with an AI-generated approachYou'll also complete an AI SQL Challenge: You vs. AI, where you'll put this workflow into practice.LEARN SQL BY DOINGThis isn't a course built around watching hours of theory.You'll learn through:Hands-on SQL exercisesPractice after new conceptsKnowledge-check quizzesDownloadable SQL files and datasetsA multi-part Final SQL ChallengePractical AI + SQL demonstrationsA You vs. AI SQL ChallengeAn AI + SQL Best Practices Cheat SheetResources are included throughout the course so you can easily follow along without searching for the files or datasets you need.START WITH SQL. THEN MAKE AI MORE USEFUL.AI can generate a query in seconds.But to use that query confidently, you need to understand what it does, recognize when something looks wrong, and know how to verify the result.Start from zero, build practical SQL skills through hands-on practice, and learn how to use AI as an SQL assistant — not as a replacement for understanding SQL.
Absolute beginners who want to learn SQL from scratch without prior experience.,Busy learners who want a fast, practical introduction to SQL without hours of unnecessary theory.,Aspiring data analysts, students, and business professionals who want to build practical SQL skills.,Beginners who want to combine traditional SQL skills with modern AI-assisted workflows.,Learners who want to understand and verify AI-generated SQL instead of blindly trusting AI answers.

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• views: 144
• date: 11 August 2026
• posted by: 0nelove

Sc-200 Microsoft Security Operations Analyst Associate
Created by Yasir Mehmood
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 146 Lectures ( 15h 35m ) | Size: 11.8 GB

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• views: 147
• date: 11 August 2026
• posted by: 0nelove

Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 32m | Size: 2.15 GB

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• views: 162
• date: 11 August 2026
• posted by: 0nelove

Generative Ai For Civil Engineers: Chatgpt, Python & Ai App
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 109.98 MB | Duration: 0h 30m
Learn how to use Generative AI, ChatGPT, Python, Machine Learning and AI tools for civil engineering and smart cities.
What you'll learn
Understand Generative AI and its application in civil engineering.
Investigate several generative models and their applications in civil engineering.
Implement artificial intelligence approaches to improve structural design, urban planning, and building processes.
Evaluate the performance and ethical implications of applying artificial intelligence to civil engineering.
Apply generative AI to real-world civil engineering projects with hands-on activities and case studies.
Requirements
Basic Knowledge of Civil Engineering
Mathematics and Statistics
Programming Skills
Introduction to Machine Learning
Description
This is an advanced course that empowers civil engineers, AEC professionals, and students to integrate Generative AI with practical engineering challenges. Through a structured blend of theory and hands-on work, you will gain the tools needed to drive innovation in infrastructure design, planning, and construction.You will start by mastering the fundamentals of AI and machine learning in engineering, followed by deep dives into neural networks, VAEs, GANs, and autoregressive models. Special focus is given to real-world applications such as layout generation, predictive modeling for loads, and resource forecasting. Using Python, TensorFlow, and PyTorch, you'll complete hands-on labs, assignments, and a capstone project based on industry-relevant data.The course concludes with critical discussion on ethics, safety, and future career pathways, ensuring you're not only skilled but industry-aware and future-ready.What You'll Learn:Core principles of Generative AI applied to civil engineeringHow to implement VAEs, GANs, and autoregressive modelsReal-world case studies in smart cities and sustainable designEthical implications of AI in AECHands-on projects using TensorFlow, PyTorch, and civil datasetsRequirements:Basic civil engineering knowledgeIntroductory programming (Python preferred)Familiarity with linear algebra and calculusWho This Course is For:Undergraduate and postgraduate civil engineering studentsAEC professionals exploring AI integrationResearchers and ML/AI enthusiasts with engineering background
Civil Engineering Professionals,Civil Engineering Students,AI and Data Science Professionals,Academics and Researchers,Industry Leaders and Innovators,Software Developers and Engineers

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• views: 116
• date: 11 August 2026
• posted by: 0nelove

Domestika - 3d Architectural Visualization Specialization
Video: MPEG4 Video (H264) 1920x1080 25fps 3583kbps | Audio: AAC 44100Hz stereo 128kbps | Genre: eLearning | Duration: 92 lessons (17h 57m) | Language: Multi-Language | Subtitles: Spanish · English · Portuguese · German · French · Italian · Polish · Dutch · Turkish · Indonesian · Romanian | Level: Beginner | File size: 8.7 GB

Master ArchViz techniques with parametric design, 3D modeling, photorealistic rendering, and animation for stunning architectural presentations


Discover the transformative world of 3D architectural visualization with this comprehensive specialization designed for architects, designers, and 3D artists. Dive into the essentials of ArchViz, from the foundational principles of parametric design to advanced animation techniques. This journey will lead you through a range of tools and methodologies, equipping you with the skills to create visualizations that not only depict spaces but also tell compelling and commercially successful architectural stories.
Embark on a learning experience across different software platforms guided by industry experts BIM it, María Alarcón, Milan Stevanović, Sonny Holmberg, and AMO 3D Visual. Gain mastery in technical modeling with Revit, produce photorealistic renders using SketchUp and V-Ray, and craft detailed interior scenes with 3ds Max. Elevate your presentations with visual storytelling techniques and dynamic 3D animations. By the end of this specialization, you'll have the expertise to transform architectural concepts into extraordinary visual experiences, ready to lead projects in architecture studios or as an independent freelancer.
Homepage

https://www.domestika.org/en/courses/6048-3d-architectural-visualization-specialization

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• views: 149
• date: 11 August 2026
• posted by: 0nelove

Databricks Data Engineering With Dlt & Lakeflow Pipelines
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 20m | Size: 3.1 GB

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• views: 148
• date: 11 August 2026
• posted by: 0nelove

Claude Certified Developer - Foundations (ccdv-F)-Exam Prep
Published 8/2026
Created by Jacob Bushong
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 125 Lectures ( 13h 50m ) | Size: 12.9 GB

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• views: 180
• date: 11 August 2026
• posted by: 0nelove

Cinematic Ai Video Creation Mastery With Claude & Kling Ai
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 55m | Size: 2.33 GB

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• views: 133
• date: 11 August 2026
• posted by: 0nelove

Child And Adolescent Mental Health (camh) Foundation Course
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 31m | Size: 3.38 GB

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• views: 114
• date: 11 August 2026
• posted by: 0nelove

Cc - Certified In Cybersecurity For Defense || Updated ||
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 23m | Size: 1.18 GB

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• views: 235
• date: 11 August 2026
• posted by: 0nelove

Capcut Video Editing Beginner To Expert
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.36 GB

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• views: 155
• date: 11 August 2026
• posted by: 0nelove

Building A Digital Accessibility Culture
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 880.06 MB

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• views: 172
• date: 11 August 2026
• posted by: 0nelove

Build Insightful Dashboards In Power Bi
Published 8/2026
Created by Chandeep Chhabra
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 25 Lectures ( 3h 9m ) | Size: 4.3 GB

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• views: 143
• date: 11 August 2026
• posted by: 0nelove

Aws Certified Data Engineer Associate Dea-C01 Prep
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 11m | Size: 665.33 MB

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• views: 166
• date: 11 August 2026
• posted by: 0nelove

Automate Literally Everything With Python
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 11h 19m | Size: 4.19 GB

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• views: 97
• date: 11 August 2026
• posted by: 0nelove

Amazon Seller Circle: How To Source & Sell On Amazon
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 4m | Size: 942.86 MB

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• views: 158
• date: 11 August 2026
• posted by: 0nelove

Ai-Engineer
Published 8/2026
Created by Cleuton Sampaio
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 76 Lectures ( 11h 57m ) | Size: 13.6 GB

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• views: 94
• date: 11 August 2026
• posted by: 0nelove

Ai For Writers: Write Faster Without Losing Your Voice
Published 8/2026
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 2m | Size: 1.39 GB

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• views: 74
• date: 11 August 2026
• posted by: 0nelove

Ai Devops — Build Smarter, Deploy Faster
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 10h 4m | Size: 4.27 GB

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• views: 77
• date: 11 August 2026
• posted by: 0nelove

Ai Agent Governance And Observability
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.38 GB | Duration: 6h 42m
Identity, policy-as-code, OpenTelemetry tracing, compliance mapping, and safe deployment for autonomous LLM-based agents
What you'll learn
Design and implement identity, policy, and observability controls that govern autonomous AI agents in production enterprise environments
Build OpenTelemetry-based tracing and evaluation pipelines that provide auditor-grade evidence of every agent action, tool call, and decision
Architect zero-trust agent sandboxes with scoped credentials, runtime circuit breakers, and automated rollback for safe production deployment
Plan and execute governed legacy system modernization using agentic discovery, characterization testing, and progressive migration with rollback
Operate a centralized governance control plane with policy-as-code (OPA/Cedar), shared telemetry schemas, and multi-agent delegation governance
Requirements
Working knowledge of software engineering and cloud-native infrastructure (containers, CI/CD, APIs, microservices)
Basic familiarity with large language models and how LLM-based applications work (prompt, response, tool calling)
Architect zero-trust agent sandboxes with scoped credentials, runtime circuit breakers, and automated rollback for safe production deployment
Description
This course contains the use of artificial intelligence. AI agents are moving from demos to production. They call tools, access data, make decisions, and take actions autonomously. Most teams ship them with application-level guardrails and hope for the best.This course teaches you to govern AI agents as runtime infrastructure - not as chatbots with extra steps.You will learn to build the production control plane that enterprises, SaaS platforms, and regulated industries require before an autonomous agent touches real users, real data, or real money.WHAT MAKES THIS COURSE DIFFERENT:This is not a prompt engineering course. It is not a framework tutorial. It is the engineering discipline that sits between "the agent works in staging" and "the agent is trusted in production."Every lesson is built around a single running scenario - a fictional enterprise insurer called Thornfield - so you see how each control (identity, tracing, evaluation, policy, approval, rollback) works in a realistic system with real constraints.WHAT YOU WILL BUILD (CONCEPTUALLY):- A zero-trust identity model where every agent has scoped, short-lived credentials and no ambient authority- An OpenTelemetry-based observability pipeline that captures full agent trajectories - every LLM call, tool invocation, retrieval, and decision - as structured, queryable traces- A continuous evaluation framework with offline test suites, online monitors, and human-in-the-loop escalation- Policy-as-code enforcement using OPA/Rego and Cedar that gates agent actions at runtime, not just at review time- Approval workflows for high-stakes agent actions with named human accountability- Incident response procedures designed for agents that keep acting while broken- Compliance mapping that binds EU AI Act, ISO 42001, SOC 2, and model risk obligations to technical controls and machine-verifiable evidence- A governed legacy modernization program using agentic code discovery, runtime telemetry, characterization testing, and progressive migrationCOURSE STRUCTURE:Module 1: Why agents need governance (the problem space)Module 2: Identity and access control for agentsModule 3: Observability - tracing agent behavior end to endModule 4: Evaluation frameworks - testing agents continuouslyModule 5: Human oversight and approval architecturesModule 6: Production operations - incidents, drift, releases, ownershipModule 7: Governance at scale - control planes, policy, compliance, multi-agent systemsModule 8: Legacy modernization with AI agents (integrative case study)Each module contains 5 lessons. The course follows a single enterprise scenario throughout, so controls build on each other rather than being taught in isolation.WHO THIS COURSE IS FOR:- Platform engineers deploying agents to production- SREs who will operate and monitor agent systems- Security engineers who need audit trails and policy enforcement- Engineering leaders making build-or-buy decisions for agent infrastructure- Compliance teams mapping AI regulations to technical evidence- Architects designing multi-agent enterprise systemsWHAT THIS COURSE IS NOT:- Not a prompt engineering or LLM fine-tuning course- Not tied to a specific framework (LangChain, CrewAI, AutoGen, etc.)- Not a beginner AI/ML course - you should understand how LLM-based applications work- Not a vendor pitch - concepts are tool-agnostic and apply across cloud providers and agent frameworksThe course is designed for engineers and technical leaders in enterprise, SaaS, fintech, and regulated industries who need to ship AI agents that are observable, governable, auditable, and safe.
Platform engineers and SREs building infrastructure to deploy, monitor, and govern AI agents in production,Engineering managers and tech leads responsible for shipping AI agent features safely in enterprise or regulated environments,Security and compliance engineers who need to audit, control, and produce evidence for AI agent systems under SOC 2, ISO 42001, or EU AI Act,Solutions architects designing multi-agent systems, LLMOps pipelines, or AI-powered automation for enterprise and SaaS products

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• views: 105
• date: 11 August 2026
• posted by: 0nelove

50 Days Of C++: From Zero To Make Pro Level Apps
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 26h 45m | Size: 10.35 GB

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• views: 232
• date: 11 August 2026
• posted by: mata00

Here’s What You Get:
100 IDEAS THAT COVER
- Product Reels (That don’t show your face)
- Service Reels (That don’t show your face)
- Lip-syncing Reels
- Pointing Reels
- Transition Reels
- + More

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• views: 145
• date: 11 August 2026
• posted by: AD-TEAM

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• date: 11 August 2026
• posted by: AD-TEAM

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• date: 11 August 2026
• posted by: AD-TEAM

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• views: 100
• date: 10 August 2026
• posted by: AD-TEAM

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• views: 200
• date: 10 August 2026
• posted by: AD-TEAM

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• views: 205
• date: 10 August 2026
• posted by: AD-TEAM

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• views: 240
• date: 10 August 2026
• posted by: AD-TEAM

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