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ChatGPT for Real-World Applications: From Prompts to Product
Published 1/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 20m | Size: 3.82 GB​

Design, integrate, and deploy ChatGPT systems for real business and production use

What you’ll learn
Understand how ChatGPT and large language models actually work, including their capabilities, limitations, and real-world risks, so they can be used responsibly
Design reliable and structured prompts that produce consistent, controllable outputs suitable for real business and engineering use cases.
Move beyond chatbots to build production-ready ChatGPT applications, using APIs, tool-calling, and multi-step workflows.
Integrate ChatGPT with external data using Retrieval-Augmented Generation (RAG) to reduce hallucinations and generate grounded, auditable responses.
Design and evaluate ChatGPT system architectures, considering latency, cost, scalability, and failure-tolerant workflows.
Apply testing, monitoring, and evaluation techniques to ensure AI outputs remain accurate, reliable, and trustworthy in production environments.
Address real-world concerns such as bias, privacy, and compliance, including safe handling of sensitive data and human-in-the-loop validation.
Build and present a complete ChatGPT-powered application, demonstrating the ability to take an idea from prompt design to production-ready deployment.

Requirements
Basic familiarity with using ChatGPT or similar AI tools
General understanding of how software or business workflows operate
Curiosity about AI systems, automation, or real-world applications
Willingness to think beyond simple prompts and chat interfaces

Description
"This course contains the use of artificial intelligence"ChatGPT has moved far beyond simple chatbots and demos, but most people are still using it in ways that do not translate to real business or production environments. This course is designed to close that gap. ChatGPT for Real-World Applications: From Prompts to Production teaches you how to use ChatGPT the way it is actually applied in modern organizations – as part of reliable systems, data pipelines, and production-ready workflows.You will start by building a clear understanding of what Large Language Models (LLMs) really are, what ChatGPT can and cannot do, and why prompting alone is not enough for real-world use. From there, the course progressively moves into prompt engineering fundamentals, advanced reliability techniques, and structured prompt workflows that reduce hallucinations and inconsistent outputs.As you advance, you will learn how ChatGPT is integrated into business analytics, engineering automation, and internal tooling, including how to design prompts that support decision-making, reporting, and code assistance without introducing risk. A major focus of the course is Retrieval-Augmented Generation (RAG), where you will learn how to safely connect ChatGPT to your own data, databases, and documents so outputs are grounded, traceable, and auditable.The course then shifts into system design and architecture, teaching you how to place ChatGPT within real applications using APIs, tool-calling, and multi-step workflows. You will learn how to handle latency, cost control, scaling, and failure-tolerant design, ensuring your applications can operate reliably under real usage conditions.You will also cover AI safety, bias, and privacy, including PII handling, compliance considerations, and human-in-the-loop validation, so your systems can be trusted by users and stakeholders. Finally, the course emphasizes testing, monitoring, and evaluation, treating ChatGPT like any other production software component, not a black box.By the end of the course, you will complete a capstone project where you design, build, evaluate, and present a production-ready ChatGPT application, demonstrating your ability to move from idea to deployment with confidence.What You’ll Gain from This CourseBy completing this course, you will:Understand how ChatGPT actually works and where it fits in real systemsDesign reliable prompts that produce consistent, controlled outputsMove beyond chatbots to build production-grade ChatGPT applicationsIntegrate ChatGPT using APIs, tools, and retrieval systems (RAG)Reduce hallucinations through structured workflows and grounding techniquesDesign scalable and cost-aware architecturesApply testing, monitoring, and evaluation strategies for AI systemsBuild trustworthy, auditable, and compliant AI solutionsGain real-world, job-ready skills used by engineers, analysts, and product teamsThis course is ideal if you want to use ChatGPT professionally, build AI-powered systems, or advance your career by learning how generative AI is actually deployed in modern organizations – not just experimented with.

Who this course is for
Developers and software engineers who want to integrate ChatGPT into real applications, workflows, and production systems using APIs, tools, and structured architectures.
Data analysts, data engineers, and analytics professionals who want to use ChatGPT for reporting, insight generation, internal assistants, and data-driven decision support.
Product managers, technical leads, and founders who need to design, evaluate, and ship AI-powered features responsibly and effectively.
Business professionals and operations teams who want to automate workflows, improve productivity, and understand how ChatGPT can be safely deployed in real business environments.
Students and career switchers who want job-ready, real-world skills in generative AI beyond simple prompt writing.

Chatgpt For Developers
Published 4/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 830.79 MB | Duration: 1h 42m​

Enhancing Coding Workflows for Developers

What you’ll learn

Master AI-Powered Development: Harness ChatGPT to streamline coding workflows, generate optimized code, and elevate collaborative development practices.

Optimize Productivity: Develop skills to seamlessly integrate ChatGPT, boosting ideation, debugging, and code review efficiency for enhanced productivity.

Apply Advanced Techniques: Gain proficiency in refining code outputs, leveraging ChatGPT parameters, and effectively using AI for debugging and code translation

API Proficiency for Developers: Acquire the fundamental skills to access ChatGPT programmatically, build basic applications, and execute coding tasks

Requirements

Basic programming understanding (any language).

Suitable for both new and experienced developers.

Internet connection, browser, and a willingness to explore and learn with an open mind.

Description

Take advantage of ChatGPT’s potential and transform your coding skills with the course. Explore the world of AI to see how ChatGPT may improve code quality, increase productivity, and streamline your development processes. Through the creation of code snippets and support with debugging, this course gives you the abilities and know-how to use ChatGPT efficiently in your development projects. This course is your ticket to learning ChatGPT and changing the way you code, regardless matter whether you’re an experienced developer trying to streamline your workflow or a novice excited to investigate the potential of AI in coding.Throughout the course, you’ll have the opportunity to engage with real-world examples, practical demonstrations, and interactive exercises, ensuring a rich and immersive learning experience. By the end of the course, participants will emerge equipped with the skills and confidence to unleash the full potential of ChatGPT, driving innovation and efficiency in their coding projects.Whether you’re a seasoned developer looking to enhance your coding workflows or a newcomer eager to explore the possibilities of AI-assisted development, "Unleashing ChatGPT" is your gateway to unlocking new levels of creativity, productivity, and success in the world of coding. Join us on this transformative journey and discover the endless possibilities with ChatGPT.

Overview

Section 1: Introduction to ChatGPT for developers

Lecture 1 Introduction

Lecture 2 Understanding Chatgpt Developer’s Value

Section 2: Development Workflows Using ChatGPT

Lecture 3 Introductioon

Lecture 4 Optimizing Coding Workflows With ChatGPT

Lecture 5 Collaborative Coding With ChatGPT

Section 3: Advanced Development Techniques

Lecture 6 Introduction to Advanced Development Techniques

Lecture 7 Code Optimization With ChatGPT

Lecture 8 Debugging Assistance With ChatGPT

Lecture 9 Code Translation & Documentation Assistance With ChatGPT

Section 4: ChatGPT API Basics

Lecture 10 Creating an API Key

Lecture 11 Sending request to OpenAI API and getting a response

Lecture 12 Generating code and executing coding tasks

Lecture 13 Streaming responses

Lecture 14 A WordPress Plugin Powered by Open AI API

Lecture 15 Resources for further exploration

Developers of All Levels: Whether you’re a beginner or an experienced developer, this course is tailored to enhance your coding skills using ChatGPT.,Those Seeking Productivity Gains: Individuals aiming to boost their coding efficiency, ideation, and collaboration through the integration of AI tools.,AI Enthusiasts: If you’re curious about how AI can be applied in real-world development scenarios, this course provides hands-on experience with ChatGPT.,Tech Professionals Exploring AI Integration: Engineers, programmers, and tech enthusiasts keen on integrating AI seamlessly into their workflows for improved outcomes.

Chaos Engineering
Published 10/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.53 GB | Duration: 2h 42m​

Equip yourself with the knowledge and skills to ensure your AWS systems withstand and recover from failures.

What you’ll learn

Chaos Engineering Fundamentals

Building a Basic Fault Injection Simulation (FIS) Experiment

Introduction to Real-Life Application

Chaos Engineering on Compute – EC2

Chaos Engineering on Database – Aurora

Chaos Engineering on Serverless – Fargate

Chaos Engineering on Kubernetes – EKS

Chaos Engineering on Availability Zone

Requirements

No prior experience or knowledge required – this course is beginner-friendly and covers everything you need to know!

Description

In today’s fast-paced digital landscape, system resilience is vital for businesses of all sizes. "Chaos Engineering" is a comprehensive and hands-on course designed to equip you with the knowledge and skills needed to ensure your systems withstand and recover from failures. From foundational concepts to advanced applications on various AWS services, including EC2, Aurora, Fargate, and EKS, as well as strategies to ensure availability across multiple Availability Zones.What You’ll Learn:Chaos Engineering Fundamentals:Understand core principles and the philosophy behind Chaos Engineering.Learn why identifying and addressing system weaknesses through controlled chaos experiments is vital.Explore essential tools and methodologies for implementing Chaos Engineering.Building a Basic Fault Injection Simulation (FIS) Experiment:Gain a step-by-step understanding of constructing and executing your first Fault Injection Simulation (FIS) experiment.Understand how to design experiments targeting different failure modes in a controlled setting.Learn to interpret experiment results and refine your simulations for better accuracy.Introduction to Real-Life Applicationiscover how to apply Chaos Engineering experiments to real-world applications.Learn best practices for monitoring, capturing metrics, and analyzing results to continually improve system resilience.Chaos Engineering on Compute – EC2:Conduct chaos experiments on EC2 instances to evaluate and improve system robustness.Simulate failures, such as instance termination or network latency, and observe impacts.Chaos Engineering on Database – Aurora:Learn to apply Chaos Engineering principles to Amazon Aurora databases.Simulate failures like cluster instability or node outages and develop strategies for seamless recovery.Chaos Engineering on Serverless – Fargate:Conduct chaos experiments on AWS Fargate to test the resilience of your serverless applications.Simulate events like task failures or service downtime to ensure robust serverless architectures.Chaos Engineering on Kubernetes – EKS:Implement Chaos Engineering on Amazon EKS to stress-test Kubernetes clusters.Simulate pod failures, node crashes, and other disruptions to validate recovery mechanisms.Chaos Engineering on Availability Zone:Conduct chaos experiments across different AWS Availability Zones.Test the impact of zone failures and ensure your systems are prepared for multi-availability zone disasters.This course, with its combination of theory, demonstrations, and real-world scenarios, will enable you to build resilient systems capable of withstanding and recovering from unexpected failures efficiently. Join us to master Chaos Engineering and innovate with confidence.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Important Course Resources

Section 2: Chaos Engineering Fundamentals

Lecture 3 Why Chaos Engineering?

Lecture 4 What is Chaos Engineering ?

Lecture 5 What is AWS FIS?

Lecture 6 FIS Experiments in this Course

Lecture 7 Accessing the Quizzes

Lecture 8 Quiz – Chaos Engineering Fundamentals

Section 3: Building a basic FIS experiment

Lecture 9 FIS Permissions

Lecture 10 Demo – Create FIS Permissions

Lecture 11 Experiment 1-Chaos Engineering on ASG

Lecture 12 Built ASG based Architecture

Lecture 13 Demo: ASG based Architecture

Lecture 14 Create FIS Experiment

Lecture 15 Demo – Run FIS Experiment

Lecture 16 Demo – Demo – Learning and Improvements

Lecture 17 Demo – FIS experiment -CloudWatch Dashboard

Lecture 18 Demo – Create FIS Experiment using CF

Lecture 19 Quiz- Building_Basis_FIS_experiment

Section 4: Introduction to Real life Application

Lecture 20 Introduction to our real life application

Lecture 21 Pre-requisite to Deploy Application & Cloud 9 Deprecation

Lecture 22 Demo: Pre-requisite to Deploy Application

Lecture 23 Demo – Setup Architecture and Deploy Application

Lecture 24 How to Plan Your Experiment? Part 1

Lecture 25 How to Plan Your Experiment? Part 2

Lecture 26 Establishing Steady State Metrics Using Cloudwatch RUM/X Ray

Lecture 27 Demo: Cloud Formation Deployment

Lecture 28 Quiz : Introduction to Real Life Application

Section 5: Chaos Engineering on Compute – EC2

Lecture 29 Disk Fill Scenario on EC2

Lecture 30 Demo: FIS Experiment – Disk Fill Scenario on EC2 and before metrics in X Ray

Lecture 31 Demo: FIS Experiment – After Metrics in X Ray and EC2 instances

Lecture 32 Quiz – Chaos Engineering on Compute

Section 6: Chaos Engineering on Database – Aurora

Lecture 33 Reboot Reader Node Scenario on Aurora

Lecture 34 Demo: Pre-requisite for FIS experiment, Create IAM role, and Current State

Lecture 35 Demo: Create and Run FIS experiment and After Metrics and DB state

Lecture 36 Quiz- Chaos Engineering on Database – Aurora

Section 7: Chaos Engineering on Serverless – Fargate

Lecture 37 ECS Fargate Experiment Idea and Hypothesis

Lecture 38 Demo: Fargate Steady State

Lecture 39 Demo: Fargate IAM role creation

Lecture 40 Demo: Run experiment Task I/O stress

Lecture 41 Demo: Fargate After State and Learning and Improvements

Lecture 42 Quiz- Chaos Engineering on Serverless – Fargate

Section 8: Chaos Engineering on Kubernetes- EKS

Lecture 43 EKS Explanation

Lecture 44 Demo: Memory Stress on EKS – Part 1

Lecture 45 Demo: Memory Stress on EKS – Part 2

Lecture 46 Demo: Memory Stress on EKS- Part 3

Lecture 47 Demo: Memory Stress on EKS- Part 4

Lecture 48 Pod Delete on EKS

Lecture 49 Demo: Steady State Pod Delete on EKS

Lecture 50 Demo: Run Experiment Pod Delete on EKS

Lecture 51 Demo: Recheck After Pod Delete on EKS

Lecture 52 Quiz- Chaos Engineering on Kubernetes- EKS

Section 9: Chaos Engineering on Availability Zone

Lecture 53 What is an Availability Zone(AZ)?

Lecture 54 Experiment Overview

Lecture 55 Demo: General Experiment Setup- AZ

Lecture 56 Demo: Prepare Experiment- AZ

Lecture 57 Running the Experiment

Lecture 58 Quiz- Chaos Engineering on Availability Zone

Section 10: Conclusion

Lecture 59 Cleanup Process

Lecture 60 Conclusion

Developers interested in enhancing their systems’ resilience.,Site Reliability Engineers (SREs) focused on improving system reliability.,Cloud Engineers managing AWS environments.,Technical Support Engineers specializing in fault-tolerant systems.,Technical Leads overseeing cloud-native application projects.

Certified Kubernetes Security Specialist Masterclass 2023
Published 4/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.56 GB | Duration: 2h 49m​

Certified Kubernetes Security Specialist Ultimate Preparation Guide Masterclass | Theory | Hands-on | Labs | Complete

What you’ll learn

Use Network security policies to restrict cluster level access

Use CIS benchmark to review the security configuration of Kubernetes components (etcd, kubelet, kubedns, kubeapi)

Properly set up Ingress objects with security control

Protect node metadata and endpoints

Minimize use of, and access to, GUI elements

Verify platform binaries before deploying

Restrict access to Kubernetes API

Use Role Based Access Controls to minimize exposure

Exercise caution in using service accounts e.g. disable defaults, minimize permissions on newly created ones

Update Kubernetes frequently

Minimize host OS footprint (reduce attack surface)

Minimize IAM roles

Minimize external access to the network

Appropriately use kernel hardening tools such as AppArmor, seccomp

Setup appropriate OS level security domains

Manage Kubernetes secrets

Use container runtime sandboxes in multi-tenant environments (e.g. gvisor, kata containers)

Implement pod to pod encryption by use of mTLS

Minimize base image footprint

Secure your supply chain: whitelist allowed registries, sign and validate images

Use static analysis of user workloads (Kubernetes resources, Docker files)

Scan images for known vulnerabilities

Perform behavioral analytics of syscall process and file activities at the host and container level to detect malicious activities

Detect threats within physical infrastructure, apps, networks, data, users and workloads

Detect all phases of attack regardless where it occurs and how it spreads

Perform deep analytical investigation and identification of bad actors within environment

Ensure immutability of containers at runtime

Use Audit Logs to monitor access

Requirements

Must know the basics of Kubernetes

Must have some hands on experience of Kubernetes

Ideally CKA or CKAD certified as that is also a prerequisite to take the CKS Exam

Description

Cluster SetupUse Network security policies to restrict cluster level accessUse CIS benchmark to review the security configuration of Kubernetes components (etcd, kubelet, kubedns, kubeapi)Properly set up Ingress objects with security controlProtect node metadata and endpointsMinimize use of, and access to, GUI elementsVerify platform binaries before deployingCluster HardeningRestrict access to Kubernetes APIUse Role Based Access Controls to minimize exposureExercise caution in using service accounts e.g. disable defaults, minimize permissions on newly created onesUpdate Kubernetes frequentlySystem HardeningMinimize host OS footprint (reduce attack surface)Minimize IAM rolesMinimize external access to the networkAppropriately use kernel hardening tools such as AppArmor, seccompMinimize Microservice VulnerabilitiesSetup appropriate OS level security domainsManage Kubernetes secretsUse container runtime sandboxes in multi-tenant environments (e.g. gvisor, kata containers)Implement pod to pod encryption by use of mTLSSupply Chain SecurityMinimize base image footprintSecure your supply chain: whitelist allowed registries, sign and validate imagesUse static analysis of user workloads (e.g.Kubernetes resources, Docker files)Scan images for known vulnerabilitiesMonitoring, Logging and Runtime SecurityPerform behavioral analytics of syscall process and file activities at the host and container level to detect malicious activitiesDetect threats within physical infrastructure, apps, networks, data, users and workloadsDetect all phases of attack regardless where it occurs and how it spreadsPerform deep analytical investigation and identification of bad actors within environmentEnsure immutability of containers at runtimeUse Audit Logs to monitor access

Overview

Section 1: Introduction

Lecture 1 CKS Exam Strategy, Tips & Tricks

Lecture 2 Trivy Introduction

Lecture 3 Trivy – Scan Pods

Lecture 4 Extract Secrets & Save to a File

Lecture 5 gVisor Demo

Lecture 6 CIS Benchmarks for Hardening a Kubernetes Cluster

Lecture 7 Fix Dockerfile and Deployment.yaml for any security vulnerabilities

Lecture 8 Enable Auditing

Lecture 9 Falco

Lecture 10 AppArmor

Lecture 11 Gatekeeper or Open Policy Agent

Lecture 12 PodSecurityPolicy

Lecture 13 Fix Incorrectly Specified ServiceAccount in a Pod, Create Role, Rolebinding etc.

Lecture 14 Fix Overly Permissive Permissions for Pod’s SA & Create SA, Role, Rolebindings

Lecture 15 Scenario Based Question – Admission Controller – Image Scanner

Lecture 16 Scenario Based Question – Network Policies – 1

Lecture 17 Scenario Based Question – Network Policies – 2

Lecture 18 Scenario Based Question – Verify Platform Binaries

Lecture 19 Read Kubernetes Secrets from ETCD

Lecture 20 Create & Secure an Ingress

Anyone wishing to learn about Kubernetes Security or want to pass the CKS Exam

Certified Kubernetes Security Specialist 2023
Last updated 7/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.39 GB | Duration: 9h 52m​

Master Course to prepare for CKS certification.

What you’ll learn

Kubernetes Security

Requirements

Certified Kubernetes Administrator

Description

This course is specifically designed for the aspirants who intend to give the "Certified Kubernetes Security Specialist" certification as well as for individuals who intend to gain a strong foundation in Kubernetes Security.One of the pre-requisites for the course is the candidate’s prior understanding on the topics discussed in the CKA certification. We begin the journey with setting up a Hardened Kubernetes cluster from absolute scratch and then the deep dive journey into various K8s + Security begins.This course also has an exam preparation section with a series of practice tests to verify the candidate’s understanding of the topics discussed and verify if the candidate is ready to give the official certification exams.Keeping the standards high similar to other best-seller courses of Zeal, this course has a perfect balance, and every topic is explained in a simplified way with practical scenarios.With tons of practicals, easy-to-understand videos, and a dedicated exam preparation section, this course is all you need to gain a deeper understanding of Kubernetes and ace the official Certified Kubernetes Security Specialist" certification.With this exciting set of learnings and practicals, I look forward to seeing you in this course and be part of your journey into Kubernetes and getting CKS certified.

Overview

Section 1: Introduction

Lecture 1 Introduction to the Course

Lecture 2 Course Lecture Format

Lecture 3 Document – Link to Code Repository

Lecture 4 Our Community

Section 2: Domain 1 – Cluster Setup

Lecture 5 Overview of CIS Benchmarks for Hardening

Lecture 6 Kubernetes CIS Benchmarks

Lecture 7 Our Lab Architecture

Lecture 8 Document Lecture

Lecture 9 Creating Infrastructure for Labs

Lecture 10 ETCD Security Guidelines

Lecture 11 Configuring ETCD Binaries

Lecture 12 Understanding Asymmetric Key Encryption

Lecture 13 Revising SSL/TLS

Lecture 14 Overview of Certificate Authority

Lecture 15 In-Transit Encryption with HTTPS

Lecture 16 Overview of Certificate Based Authentication

Lecture 17 Client Authentication in ETCD

Lecture 18 Integrating Systemd with ETCD

Lecture 19 API Server Security Guidelines

Lecture 20 Configuring API Server

Lecture 21 Transport Security for API Server

Lecture 22 Access Control

Lecture 23 Static Token File Authentication

Lecture 24 Downsides of Static Token File Authentication

Lecture 25 Implementing X509 Client Authentication

Lecture 26 Downsides of X509 Client Authentication

Lecture 27 Overview of OIDC Authentication

Lecture 28 Authorization

Lecture 29 Encryption Provider

Lecture 30 Implementing Auditing

Lecture 31 Setting up kubeadm cluster

Lecture 32 Revising Taints and Tolerations

Lecture 33 Kubelet Security

Lecture 34 Verifying Platform Binaries

Lecture 35 Notes – Cluster Setup

Section 3: Domain 2 – Cluster Hardening

Lecture 36 Creating User for RBAC

Lecture 37 Role Based Access Controls (RBAC)

Lecture 38 ClusterRole and ClusterRoleBinding

Lecture 39 Revising Ingress

Lecture 40 Understanding Ingress Resource and Ingress Controllers

Lecture 41 Creating Ingress and Ingress Controller

Lecture 42 Ingress Security

Lecture 43 Overview of Service Accounts

Lecture 44 Service Account Security

Lecture 45 Upgrading kudeadm Clusters

Lecture 46 Notes – Cluster Hardening

Section 4: Domain 3 – Minimize Microservice Vulnerabilities

Lecture 47 Admission Controllers

Lecture 48 Security Contexts

Lecture 49 Revising Privileged Container

Lecture 50 Running Privileged PODS in Kubernetes

Lecture 51 Hack Misconfigured Cluster

Lecture 52 ImagePullPolicy in Kubernetes

Lecture 53 Admission Controller – AlwaysPullImages

Lecture 54 Admission Controller – ImagePolicyWebhook

Lecture 55 Custom WebHook Integration with Admission Controller

Lecture 56 Overview of Kubernetes Secrets

Lecture 57 Mounting Secrets in Pods

Lecture 58 Notes – Minimize Microservice Vulnerabilities

Section 5: Domain 4 – System Hardening

Lecture 59 Overview of AppArmor

Lecture 60 Integration of AppArmor with Kubernetes

Lecture 61 OCI and Container Runtimes

Lecture 62 Configuring containerd and runc

Lecture 63 Container Runtime Interface

Lecture 64 Overview of Container Runtime Sandboxes

Lecture 65 Implementing RunTimeClass – gVisor

Lecture 66 Kubeadm and Calcio

Lecture 67 Understanding Network Policies – Part 01

Lecture 68 Understanding Network Policies – Part 02

Lecture 69 Notes – System Hardening

Section 6: Domain 5 – Supply Chain Security

Lecture 70 Vulnerability, Exploit and Payload

Lecture 71 Container Security Scanning

Lecture 72 Scan images for known vulnerabilities

Lecture 73 Scanning K8s Clusters for Security Best Practices

Lecture 74 Overview of Static Analysis

Lecture 75 Notes – Supply Chain Security

Section 7: Domain 6 – Monitoring, Logging and Runtime Security

Lecture 76 Overview of Falco

Lecture 77 Introduction to Sysdig

Lecture 78 Creating Custom Falco Rules

Lecture 79 Falco Rule Writing – Exam Perspective

Lecture 80 Audit Logging In-Detail

Lecture 81 Immutability at Container Runtime

Lecture 82 Notes – Monitoring, Logging and Runtime Security

Section 8: Exam Preparation Section

Lecture 83 Our Community

Lecture 84 Overview of CKS Exams

Lecture 85 Important Pointers for Exams – Part 01

Lecture 86 Important Pointers for Exams – Part 02

Lecture 87 Notes – Exam Preparation Section

Lecture 88 Exam Preparation Practice Tests

Lecture 89 Practice Test Solution – Part 01

Lecture 90 Practice Test Solution – Part 02

Lecture 91 Practice Test Solution – Part 03

Lecture 92 Practice Test Solution – Part 04

Individuals who aim to learn about Kubernetes Security,Individuals aiming to get certified on the Certified Kubernetes Security Specialist certification.

Certified Kubernetes Application Developer 2022
Video: .mp4 (1280×720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 6.9 GB
Genre: eLearning Video | Duration: 135 lectures (13 hour, 32 mins) | Language: English

Master Course to prepare for Certified Kubernetes Application Developer certification​

What you’ll learn

Strong Fundamentals of Kubernetes
Deploying Applications to Kubernetes
Prepare for Certified Kubernetes Application Developer certification

Requirements

Docker

Description

This course is specifically designed for the aspirants who intend to give the "Certified Kubernetes Application Developer" certification and the individuals who intend to gain a strong foundation on Kubernetes from absolute scratch.

One of the pre-requisites for the course is the candidate’s prior understanding of the fundamentals of Docker.

The journey of this course begins with Understanding the basics of Container Orchestration technologies, and then the deep dive journey into Kubernetes begins.

This course also has an exam preparation section with a series of practice tests at the end of every section to verify the candidate’s understanding of the topics discussed and verify if the candidate is ready to give the official certification exams.

Keeping the standards high similar to other best-seller courses of Zeal, this course has a perfect balance, and every topic is explained in a simplified way with practical scenarios.

With tons of practicals, easy-to-understand videos, and a dedicated exam preparation section, this course is all you need to gain a deeper understanding of Kubernetes and ace the official Certified Kubernetes Application Developer" certification.

With this exciting set of learnings and practicals, I look forward to seeing you in this course and be part of your journey into Kubernetes.

Who this course is for:

Individuals intend to learn Kubernetes
Individuals aiming for CKAD certification

For More Courses Visit & Bookmark Your Preferred Language Blog
From Here: – – – – – – – –

Year of release : February 2025
Manufacturer : Pearson Via O’Reilly Learning
Author : Sander Van Vugt
Duration : 4h 47m
Type of material given : Video lesson
Language : En
Description:
The Sneak Peek program provides early access to Pearson video products and is exclusively available to subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
Content
Introduction
Module 1 Cluster Architecture, Installation, and Configuration
Lesson 1 Understanding Kubernetes Architecture
Lesson 2 Creating a Kubernetes Cluster with kubeadm
Lesson 3 Managing Kubernetes Clusters
Lesson 4 Performing Node Maintenance Tasks
Lesson 5 Managing Security Settings
Module 2 Workloads and Scheduling
Lesson 6 Deploying Kubernetes Applications
Lesson 7 Using Templating Tools
Lesson 8 Managing Scheduling
Example files : absent
Format Video : mp4
Video : AVC, 1280 x 720, 16: 9, 30.000 FPS, 3,000 KB/S (0.017 Bit/Pixel)
Аудио: AAC, 44.1 KHz, 2 channels, 128 kb/s, CBR

Certified Kubernetes Administrator (CKA), 4th Edition (1.22 GB)

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Code:Copy to clipboard

https://drop.download/n0zuv9amo5vt/Certified.Kubernetes.Administrator.CKA.4th.Edition.rar

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https://rapidgator.net/file/12eae444b8809ad0e971cc28b29e5b0a/Certified.Kubernetes.Administrator.CKA.4th.Edition.rar