437 Software Engineering courses

Duration 5 Days 30 CPD hours This course is intended for Anyone who plans to work with Kubernetes at any level or tier of involvement Any company or individual who wants to advance their knowledge of the cloud environment Application Developers Operations Developers IT Directors/Managers Overview All topics required by the CKAD exam, including: Deploy applications to a Kubernetes cluster Pods, ReplicaSets, Deployments, DaemonSets Self-healing and observable applications Multi-container Pod Design Application configuration via Configmaps, Secrets Administrate cluster use for your team A systematic understanding of Kubernetes architecture Troubleshooting and debugging tools Kubernetes networking and services Kubernetes is a Cloud Orchestration Platform providing reliability, replication, and stability while maximizing resource utilization for applications and services. By the conclusion of this hands-on training, you will go back to work with all necessary commands and practical skills to empower your team to succeed, as well as gain knowledge of important concepts like Kubernetes architecture and container orchestration. We prioritize covering all objectives and concepts necessary for passing the Certified Kubernetes Application Developer (CKAD) exam. You will command and configure a high availability Kubernetes environment (and later, build your own!) capable of demonstrating all ?K8s'' features discussed and demonstrated in this course. Your week of intensive, hands-on training will conclude with a mock CKAD exam that matches the real thing. Kubernetes Architecture Components Understand API deprecations Containers Define, build and modify container images Pods Master Services Node Services K8s Services YAML Essentials Creating a K8s Cluster kubectl Commands Kubernetes Resources Kubernetes Namespace Kubernetes Contexts Pods What is a Pod? Create, List, Delete Pods How to Access Running Pods Kubernetes Resources Managing Cloud Resource Consumption Multi-Container Pod Design Security Contexts Init Containers Understand multi-container Pod design patterns (e.g. sidecar, init and others) Pod Wellness Tracking Networking Packet Forwarding ClusterIP and NodePort Services Provide and troubleshoot access to applications via services Ingress Controllers Use Ingress rules to expose applications NetworkPolicy resource Demonstrate basic understanding of NetworkPolicies Network Plugins Defining the Service Mesh Service mesh configuration examples ReplicaSets Services ReplicaSet Function Deploying ReplicaSets Deployments Deployment Object Updating/Rolling Back Deployments Understand Deployments and how to perform rolling updates Deployment Strategies Use Kubernetes primitives to implement common deployment strategies (e.g. blue/green or canary) Scaling ReplicaSets Autoscaling Labels and Annotations Labels Annotations Node Taints and Tolerations Jobs The K8s Job and CronJob Understand Jobs and CronJobs Immediate vs. scheduled internal use Application Configuration Understanding and defining resource requirements, limits and quotas Config Maps Create & consume Secrets Patching Custom Resource Definition Discover and use resources that extend Kubernetes (CRD) Managing ConfigMaps and Secrets as Volumes Storage Static and dynamic persistent volumes via StorageClass K8s volume configuration Utilize persistent and ephemeral volumes Adding persistent storage to containers via persistent volume claims Introduction to Helm Helm Introduction Charts Use the Helm package manager to deploy existing packages Application Security Understand authentication, authorization and admission control Understand ServiceAccounts Understand SecurityContexts Application Observability and Maintenance Use provided tools to monitor Kubernetes applications How to Troubleshoot Kubernetes Basic and Advanced Logging Techniques Utilize container logs Accessing containers with Port-Forward Debugging in Kubernetes Hands on Labs: Define, build and modify container images Deploy Kubernetes using Ansible Isolating Resources with Kubernetes Namespaces Cluster Access with Kubernetes Context Listing Resources with kubectl get Examining Resources with kubectl describe Create and Configure Basic Pods Debugging via kubectl port-forward Imperative vs. Declarative Resource Creation Performing Commands inside a Pod Understanding Labels and Selectors Insert an Annotation Create and Configure a ReplicaSet Writing a Deployment Manifest Perform rolling updates and rollbacks with Deployments Horizontal Scaling with kubectl scale Implement probes and health checks Understanding and defining resource requirements, limits and quotas Understand Jobs and CronJobs Best Practices for Container Customization Persistent Configuration with ConfigMaps Create and Consume Secrets Understand the Init container multi-container Pod design pattern Using PersistentVolumeClaims for Storage Dynamically Provision PersistentVolumes with NFS Deploy a NetworkPolicy Provide and troubleshoot access to applications via services Use Ingress rules to expose applications Understand the Sidecar multi-container Pod design pattern Setting up a single tier service mesh Tainted Nodes and Tolerations Use the Helm package manager to deploy existing packages A Completed Project Install Jenkins Using Helm and Run a Demo Job Custom Resource Definitions (CRDs) Patching Understanding Security Contexts for Cluster Access Control Utilize container logs Advanced Logging Techniques Troubleshooting Calicoctl Deploy a Kubernetes Cluster using Kubeadm Monitoring Applications in Kubernetes Resource-Based Autoscaling Create ServiceAccounts for use with the Kubernetes Dashboard Saving Your Progress With GitHub CKAD Practice Drill Alta Kubernetes Course Specific Updates Sourcing Secrets from HashiCorp Vault Example CKAD Test Questions

Course Overview Find the ultimate guide for learning Django framework by taking this Django REST Framework - Full Stack Python APIs using Python course. In this course, you will learn the techniques to build Python Rest APIs using the Django framework. This Django REST Framework - Full Stack Python APIs using Python course breaks tools and techniques to enhance your understanding of the Django framework and its features. The project-based course provides step-by-step instructions on how to create a Rest API from scratch. You will start the course by learning how to set up a Django development environment and proceed towards the fundamental steps in creating a Rest API project. You will gain the knowledge to develop Rest APIs using function-based views and class-based views. You will also learn the best practices to secure your Rest APIs. Learning Outcomes Gain in-depth knowledge Rest API Learn hope to configure the Rest API Identify the importance of Django Framework Deepen your understanding of mixins and generic views Know how to create Rest APIs using function based views Learn how to create viewset Be able to create Rest APIs with class based views Who Is This Course For? The Django REST Framework - Full Stack Python APIs using Python course is incredibly beneficial for professionals interested in learning how to create Python Rest APIs in Django Framework.  Entry Requirement This course is available to all learners of all academic backgrounds. Learners should be aged 16 or over. Good understanding of English language, numeracy and ICT skills are required to take this course. Certification After you have successfully completed the course, you will obtain an Accredited Certificate of Achievement. And, you will also receive a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy for £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why Choose Us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos and materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; United Kingdom & internationally recognized accredited qualification; Access to course content on mobile, tablet and desktop from anywhere, anytime; Substantial career advancement opportunities; 24/7 student support via email. Career Path Django REST Framework - Full Stack Python APIs using Python provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as Full Stack- Lead Software Developer Python/Django Developer Backend Developer Software Engineer-Python Unit 01: Start Here Module 01: Course and Instructor Introduction 00:03:00 Module 02: How to make the best of this course 00:02:00 Unit 02: Introduction Module 01: What is REST? 00:06:00 Module 02: Why REST 00:08:00 Module 03: What and Why DJango REST Framework 00:06:00 Unit 03: Software Setup Module 01: Install DJango 00:03:00 Module 02: Install DJango REST Framework 00:01:00 Module 03: Install MySql and MySql workbench 00:03:00 Module 04: Launch MySql workbench 00:02:00 Module 05: Install python mysqlclient 00:01:00 Module 06: Install ATOM 00:03:00 Module 07: Install Postman 00:01:00 Unit 04: REST in Action Module 01: Create the Project 00:03:00 Module 02: Create a view 00:02:00 Module 03: Configure the URL and TEST 00:03:00 Module 04: Create app level urls 00:02:00 Module 05: Create a model class 00:03:00 Module 06: Configure the database and run migrations 00:03:00 Module 07: Use the model in the view and test 00:03:00 Unit 05: Function Based Views and Serializers Module 01: DRF Components 00:06:00 Module 02: Function Based Views 00:05:00 Module 03: Serializers 00:04:00 Module 04: Create the Project 00:02:00 Module 05: Create the Model 00:02:00 Module 06: Create the Serializer 00:02:00 Module 07: GET single student 00:04:00 Module 08: Create Student 00:04:00 Module 09: Implement Non Primary Key Based Operations 00:07:00 Module 10: Use @api_view 00:01:00 Module 11: Configure the URLs 00:02:00 Module 12: Test 00:07:00 Module 13: Test Using Postman 00:04:00 Unit 06: Class Based Views Module 01: Introduction 00:03:00 Module 02: Create the Project 00:03:00 Module 03: Implement Non Primary Key Based Operations 00:06:00 Module 04: Implement Primary Key Based Operations 00:07:00 Module 05: Configure the URLs and TEST 00:04:00 Unit 07: Mixins Module 01: Introduction 00:05:00 Module 02: Non Primary Key based operations 00:04:00 Module 03: Primary Key based operations 00:02:00 Module 04: Configure the URLs and TEST 00:02:00 Unit 08: Generic Views Module 01: Generics 00:03:00 Module 02: Generics in action 00:03:00 Unit 09: ViewSets Module 01: Introduction 00:03:00 Module 02: Create ViewSet 00:02:00 Module 03: Configure URLs and Test 00:04:00 Unit 10: Nested Serializers Module 01: Create the project 00:02:00 Module 02: Create model 00:03:00 Module 03: Create Serializers 00:04:00 Module 04: Create REST endpoints 00:03:00 Module 05: Configure URLs 00:02:00 Module 06: Test 00:03:00 Unit 11: Pagination Module 01: Introduction 00:06:00 Module 02: Pagination in action 00:05:00 Module 03: Pagination at class level 00:03:00 Module 04: Using LimitOffsetPagination 00:01:00 Unit 12: Security Module 01: Introduction 00:04:00 Module 02: Authentication in action 00:03:00 Module 03: Authorization in action 00:06:00 Module 04: Global Security 00:04:00 Unit 13: Flight Reservation API Module 01: Usecase 00:01:00 Module 02: Create the Project 00:01:00 Module 03: Create Model Classes 00:03:00 Module 04: Create Reservation Model 00:01:00 Module 05: Create Serializers 00:01:00 Module 06: Create ViewSets 00:02:00 Module 07: Configure the Router 00:02:00 Module 08: Run Migrations 00:01:00 Module 09: Initial round of testing 00:04:00 Module 10: Implement findFlights endpoint 00:03:00 Module 11: Test findFlights 00:05:00 Module 12: Implement Save Reservation 00:06:00 Module 13: Test Save Reservation 00:04:00 Unit 14: Validations Module 01: In-Built Validations 00:04:00 Module 02: Allowing Blank and Null Values 00:02:00 Module 03: Create Custom Validator 00:05:00 Module 04: Two more ways 00:07:00 Unit 15: Token Auth Module 01: Introduction 00:03:00 Module 02: Configure Token Auth 00:05:00 Module 03: Create Users and Token 00:04:00 Module 04: Token Auth in action 00:03:00 Module 05: Automate Token Creation 00:09:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Learn the fundamentals and advanced concepts of Apache Kafka in this course. This course will give you a good understanding of all the concepts through hands-on practice.

This course does not require any prior knowledge of Apache Spark or Hadoop. The author explains Spark architecture and fundamental concepts to help you come up to speed and grasp the content of this course. The course will help you understand Spark programming and apply that knowledge to build data engineering solutions.

Apache NiFi, a robust, open-source data ingestion/distribution framework, is the core of Hortonworks DataFlow (HDF)

This comprehensive, hands-on course empowers beginners with essential web development skills. From HTML, CSS, and JavaScript to GitHub and Bootstrap, master the tools of the trade. Learn to build, style, and deploy websites effortlessly. No prior knowledge of programming or web development is needed.

Craft captivating UI/UX experiences with our Adobe XD course. Master design principles, create interactive prototypes, and launch your design career!

This comprehensive course unlocks the boundless potential of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, guiding you from AI novice to expert. Dive into 15 different practical projects, from dynamic chatbots to data analysis tools, and cultivate a profound understanding of AI, empowering your journey into the future of language-based applications.

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support