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GenAI Inference and Serving Architecture
Last Updated Jan 30, 2026
Duration: 1h 56m | .MP4 1920×1080 30 fps(r) | AAC, 48000 Hz, 2ch | 309.29 MB
Genre: eLearning | Language: English​

Running GenAI systems efficiently is key for real-world AI. This course will teach you how to make informed model-selection decisions and implement fast, scalable, and cost-optimized transformer inference pipelines.

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GenAI Inference and Serving Architecture

GenAI for Busy Java Developers
English | 2025 | h264, yuv420p, 1280×720 | 48000 Hz, 2channels | Duration: 4h 18m | 853 MB​

Java software engineers who need to learn how to harness the capabilities of generative AI tools for critical aspects of the production software process.
This video course empowers Java engineers with the basic knowledge and skills needed to harness the capabilities of generative AI tools for various aspects of the production software process.
Developed for beginner and early intermediate Java developers, it explores the impact of Machine Learning on the Java ecosystem and features hands-on coding using tools such as OpenAI ChatGPT, Google Gemini, Anthropic Claude, and other GenAI services using the LangChain4j API. With a focus on practical applications, participants will gain proficiency in GenAI, an understanding of context, learn about embeddings, and how to responsibly integrate GenAI into Java applications.
Attendees will:
Learn the skills they need in order to apply generative AI to real-world software development. Enterprise developers will learn the fundamentals of generative AI and how to best apply them to reliably put GenAI applications into production.
Understand programmatic interfaces to GenAI using REST APIs and featuring the LangChain4J Java API, including many source code examples covering different prompt techniques, streaming, embeddings, templates, context, Retrieval-Augmented Generation (RAG) and an introduction to agents
Architect and implement a basic chatbot application that understands private document sets.
Skill Level:
Beginner to Early Intermediate
Learn How To:
Differentiate between the two basic types of deep learning
Structure prompts and select techniques that produce useful output
Use LangChain4j to create a working GenAI application
Apply embeddings to various use cases
Manage context for effective LLM responses
Choose an appropriate vector database and what to store in that database
Create tools and understand the basics of agents

GenAI Data and Knowledge Layer
.MP4, AVC, 1920×1080, 30 fps | English, AAC, 2 Ch | 1h 56m | 298 MB
Instructor: Laurentiu Raducu​

This course will teach you how to design and build robust, production-ready GenAI data and knowledge layers.

What you’ll learn

Engineers often struggle with how to represent their data as vectors, choose and operate vector stores, design knowledge graphs, and build robust pipelines that keep everything up to date and testable at scale. In this course, GenAI Data and Knowledge Layer, you’ll gain the ability to design and implement production-ready data and knowledge layers that power reliable GenAI applications.

First, you’ll explore how embeddings, vector stores, and chunking strategies turn raw data into effective semantic representations for retrieval-augmented generation. Next, you’ll discover how to architect and operate vector databases, integrate knowledge graphs, and orchestrate end-to-end pipelines that continuously ingest, transform, and index data. Finally, you’ll learn how to apply advanced preprocessing and synthetic data generation techniques to improve retrieval quality, robustness, and test coverage of your GenAI systems.

When you’re finished with this course, you’ll have the skills and knowledge of modern GenAI data and knowledge layers needed to confidently build and maintain scalable, production-grade GenAI systems grounded in your own data.

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Game Dev Essentials: Code Architectures for Indie Developers
Duration: 11h 24m | .MP4 1920×1080 30fps(r) | AAC, 44100Hz, 2ch | 5.70 GB
Genre: eLearning | Language: English​

Learn by comparison how to create a First Person Game using two scalable approaches in Unity
What you’ll learn

• Learn Two Game Architectures that you can apply to your games
• Create Maintainable and Scalable Code
• How to Implement Solid Code Architecture that you can Reuse in different Projects
• How to separate logic, visual and data in your code that are less dependent of Monobehaviour class
• Basic concepts of Dependency Injection
• How to integrate GUI with Audio Mixer, user interactions and flow control

Requirements
– Advanced knowledge in Unity Game Engine

Description
Scalability is one of the biggest problems in Unity projects. The unimaginable amount of freedom and lack of clear guidelines can lead us to complex systems interacting in such a way that no human brain can handle it. In a project with 10,000+ lines of code, every single change can be a high risk of breaking another component, with endless edge cases emerging with every new feature.

Especially if you are a small studio or a solo developer, this course can be the key to avoiding this problem and gaining confidence in building complex, solid Unity projects. In this course, we will develop a simple survival game using two different scalable architectures.

Introduction:

Here we will dive deeper into architecture problems, explore the proposed solutions in this course, and understand in which scenarios each one is better than the other. What is flow control? What is glue? These concepts are presented here.

Creating and Understanding the Project:

We will quickly prepare everything we need to dive into the code. We will create the project, add visual assets, and prepare the scene.

Handling Gameplay Features – Movement:

At this point, we will have our first contact with both architectures. We will discuss and build together a First Person Controller, handling movement, reading inputs, splitting the problem into small pieces, and solving each piece. We will also learn how to separate data from logic.

Handling Gameplay Features – Health:

Here we are going to discuss and implement the Health System. Why? Because it is a feature that involves triggers and interactions between the Player and the environment, and we’ll see how differently these interactions are handled between the different architectures.

Handling Gameplay Features – Day and Night Cycle:

Time, Skybox, and Fog are different components that we will combine into a system that will work as the Day and Night Cycle of the game. This is where we will find a few similarities between Glue and UD, explore the idea of dependency injection, and much more.

Handling GUI:

Finally, here you will understand the full power of the UD architecture. We will build a simple Pause and Settings Menu that will enable the player to control the Mixer (Volume) of the game. How to handle user interactions? How to separate view from logic? We are going to dive into these questions at the end.

Do you prefer flexibility and speed? Or do you want full control of your project?

Get this course, learn them both, and decide.

Who this course is for:
– Game Developers
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Fundamentals of Database Engineering
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 9.16 GB | Duration: 20h 24m​

Learn ACID, Indexing, Partitioning, Sharding, Concurrency control, Replication, DB Engines, Best Practices and More!

What you’ll learn
Learn and understand ACID Properties
Database Indexing
Database Partitioning
Database Replication
Database Sharding
Database Cursors
Concurrency Control (Optimistic, Pessimistic)
B-Trees in Production Database Systems
Database System Designs
Difference between Database Management System, Database Engine and Embedded database
Database Engines such as MyISAM, InnoDB, RocksDB, LevelDB and More
Benefits of Using one database engine over the other
Switching Database Engines with MySQL
Database Security
Homomorphic Encryption

Requirements
Have worked with databases before but wish to get deeper understanding
Basic SQL knowledge
Description
Database Engineering is a very interesting sector in software engineering. If you are interested in learning about database engineering you have come to the right place. I have curated this course carefully to discuss the Fundamental concepts of database engineering.

This course will not teach you SQL or programming languages, however, it will teach you skillsets and patterns that you can apply in database engineering. A few of the things that you will learn are Indexing, Partitioning, Sharding, Replication, b-trees in-depth indexing, Concurrency control, database engines and security, and much more.

I believe that learning the fundamentals of database engineering will equip you with the necessary means to tackle difficult and challenging problems yourself. I always compare engineering to math, you never memorize specific formulas and equations, you know the basic proves and derive and solve any equation one throws at you. Database engineering is similar, you can’t possibly say MongoDB is better than MySQL or Postgres is better than Oracle. Instead, you learn your use case and by understanding how each database platform does its own trade-offs you will be able to make optimal decisions.

One other thing you will learn in this course is the lowest database interface that talks to the OS which is the database engine. Database engines or storage engines or sometimes even called embedded databases is a software library that a database management software uses to store data on disk and do CRUD (create update delete) Embedded means move everything in one software no network client-server. In this video course, I want to go through the few popular database engines, explain the differences between them, and finally, I want to spin up a database and change its engine and show the different features of each engine.

Enjoy the course.

Who this course is for
Software Engineers and Database Engineers

Fullstack TypeScript (feat. GraphQL & Node.js)
MP4 | Video: h264, yuv420p, 2560×1440 | Audio: aac, 48000 Hz | Duration: 3h 11m | 1.32 GB
Genre: eLearning | Language: English​

TypeScript offers a delightful authoring experience, but all bets are off once you make an API call and receive an

any

response. We’ll build a Twitter App with React and generate TypeScript code based on a GraphQL schema. Combine TypeScript and GraphQL’s type systems to create full-stack, fully-type-checked codebases (even the data layer!), making the entire codebase shockingly easy to evolve, refactor and maintain.

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Full Mobile Hacking Course
Last updated 1/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.66 GB | Duration: 3h 52m​

Learn all about mobile hacking in this course

What you’ll learn
Mobile Hacking
Requirements
Basic computer knowledge
Description
Come and learn from the top ethical hacking and penetration testing instructor, Loi Liang Yang, who has millions of views across the world from his cybersecurity teachings. You will learn all about ethical mobile hacking on Android and iPhone in this course! Course is strictly for ethical hacking and educational purposes!Reverse engineering applicationsAndroid debug bridgeControlling mobile devices remotelyCreating payloads to control mobile devicesAnd many more!

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Run Android on Windows

Lecture 2 Run Android on Windows

Lecture 3 Run Android Apps on Windows

Section 3: Install Kali Linux on Android Phone

Lecture 4 Install Kali Linux on Android Phone with NetHunter

Section 4: Run iPhone on MAC

Lecture 5 iPhone Simulator

Section 5: Hack Android with Metasploit

Lecture 6 Kali Linux Explained

Lecture 7 Metasploit Framework

Lecture 8 Geolocation of Device

Lecture 9 Access SMS of Device

Lecture 10 Hide Mobile App

Lecture 11 Embed Meterpreter Into APK

Section 6: L3MON Framework

Lecture 12 L3MON Framework

Lecture 13 L3MON for Storage Access

Section 7: Android Debug Bridge

Lecture 14 Android Debug Bridge

Lecture 15 Android Debug Bridge via Kali Linux

Lecture 16 Wireless Android Debug Bridge

Lecture 17 Reset Android Without Password

Section 8: SCRCPY Android Mirroring

Lecture 18 SCRCPY Android Mirroring

Section 9: OWASP GOAT

Lecture 19 Run Mobile App via ADB

Lecture 20 Mobile App File Access

Lecture 21 Reverse Engineering Mobile Apps

Lecture 22 Reverse Engineering Mobile Apps Data Storage Access

Lecture 23 Hack Usernames And Passwords Of Mobile Apps

Section 10: Ghost Framework

Lecture 24 Ghost Framework

Section 11: Android Hack via Browser Attacks

Lecture 25 Browser Share Location

Lecture 26 NGROK Hacking Without Port Forwarding

Section 12: Remotely Manage Computer from Android

Lecture 27 Remotely Manage Computer from Android

Section 13: Android Defense

Lecture 28 Check Phone For Indicators Of Compromise

Anyone keen to learn about hacking mobile devices

From Tool to Teammates: Working Smarter with AI
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 1h 46m | 352 MB
Instructor: Brice Challamel​

Start working smarter by leveraging the power of AI in your everyday workflows. In this course, join instructor Brice Challamel, the head of AI Strategy and Adoption at OpenAI, as he empowers you to change the way you use generative AI tools from one-shot AI queries to orchestrating a team of AI teammates. Brice covers the archetypal roles served by AI and shows you how to unlock practical skills in prompting, delegating, error handling, and personal growth.

Learning objectives

• Identify the five AI teammate archetypes and describe the role each one plays in supporting professional tasks.
• Explain how multiturn, context-rich prompting improves AI output compared to one-shot queries.
• Describe the Huddle Method and sequence AI teammates to rapidly generate and synthesize ideas.
• Recognize common AI errors such as hallucinations and identify strategies to correct them using verification prompts and guardrails.
• Plan a personal AI road map that prioritizes quick wins and sustained growth across work and life domains.

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Foundations of GitHub Security (GH-500)
Released 3/2026
By Tim Warner
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 31m 49s | Size: 263 MB​

Security risks like secret leaks and dependency vulnerabilities are rising in modern software projects.

What you’ll learn
Security risks like secret leaks and dependency vulnerabilities are rising in modern software projects. In this course, Foundations of GitHub Security (GH-500), you’ll gain practical skills that serve two goals: passing the GH-500 certification exam and making informed decisions about GHAS adoption.