Advanced Analytics and 5G Systems Specialist
Course title: 5G O-RAN (Open RAN): Architecture, Procedures And Use Cases
Target group: Mid Level Employee
Level: Foundations
5G O-RAN (Open RAN): Architecture, Procedures And Use Cases
Provider
udemy
Description
O-RAN (or Open RAN) opens new avenues of service innovation and agility for telcos by breaking the Radio Access Network (RAN) into its component parts, each of which can be separately reconfigured. O-RAN standards are freely accessible to all third-party software developers, who can develop new types of services and innovate on the RAN Intelligent Controller (RIC) by building xApps and rApps. This enables telcos to make their networks a much more relevant resource for both enterprise and consumer applications.
Arguably the open RAN’s biggest claim is the potential to enable telcos to avoid vendor lock-in by replacing vendor-proprietary interfaces with a fully disaggregated RAN based on open standards.
Automation will be key to managing the lifecycle of disaggregated, cloud-native RAN functions. O-RAN can bring down the network deployment and operation cost by evolving the network in a continuous integration/ continuous delivery (CI/CD) manner rather than through generational investment cycles. This course covers all the important topics that are required to have a good and comprehensive learning of the O-RAN technology. The relevant standards of the O-RAN alliance have been discussed to describe the O-RAN architecture and working, as well as the O-RAN open interfaces.
Target
- Telecom engineers
- Network planners
- IT professionals in telecoms
- Network administrators
- Software developers in telecom
Sector
- Telecommunications
- Network Equipment vendors
- Telecom service providers
Area
- Radio Access Network (RAN)
- 5G network infrastructure
- Network automation
- Open standards implementation
Learning outcomes
- O-RAN (Open RAN) Concept in detail
- Evolution to O-RAN (vRAN, C-RAN, D-RAN, RAN Disaggregation)
- RAN Functional Split Options (specially option 7.2x)
- Enhanced CPRI (e-CPRI) Protocol
- O-RAN Architecture (SMO, Non RT RIC, Near RT RIC)
- Virtualization on O-RAN
- DEVOPS in O-RAN
- ORAN Use Cases (Traffic Steering, NSSI Optimization, UAV resource allocation)
Learning content
- Section 1: Introduction
- Section 2: Evolution to Open RAN
- Section 3: RAN Splits-Logical View
- Section 4: Overview of O-RAN Architecture
- Section 5: Virtualization techniques for O-RAN
- Section 6: Detailed O-RAN Architecture
- Section 7: O-RAN Traffic Steering Use Case
- Section 8: Network Slicing in 5G O-RAN
- Section 9: Other O-RAN Use Case
Approach/method
Online
Duration
3 hours on-demand video
Assessment
No
Certification
Yes
Provider contacts
Date
Always available
Location
Online
Website
Course title: Wireless Communications for Everybody
Target group: Junior (Fresh Employee)
Level: Awareness
Wireless Communications for Everybody
Provider
Coursersa
Description
This course will provide an introduction and history of cellular communication systems that have changed our lives during the recent four decades and will become an essential and inseparable part of human life. The principles of wireless communication theory are covered with emphasis on the essential concept delivery to non-major learners in the easiest way. Then, it will be covered how such principles are realized and how multimedia services can be delivered in practical LTE cellular systems by which learners are connected and enjoys together in their lives. After completing this course, learners will be able to understand 1. What a cellular system is and how it has been developed so far 2. The very basic principles how information can be delivered efficiently using radio 3. How such principles are realized in LTE systems. 4. How people can be connected and multimedia services can be delivered in LTE systems
Target
- Non-major learners seeking foundational understanding of cellular networks; individuals curious about how wireless communication affects daily life.
- Non-technical learners needing a gentle introduction to core wireless concepts.
- Learners with some interest in mobile networks who want to know how theory translates into real LTE services.
Sector
- Telecommunications industry and applied engineering.
- Social impact and technology adoption; consumer education.
- Education and outreach; introductory engineering literacy.
Area
- Wireless communication theory basics; history and evolution of cellular systems; overview of LTE concepts; impact on multimedia services.
- Basic principles of information delivery over radio; information theory fundamentals at a high level; emphasis on intuitive understanding
- Practical LTE system realization; delivery of multimedia services; end-user experience in connected lifestyles.
Learning outcomes
- Course level: Introductory/Applied course in wireless communications
- Field: Wireless communications, telecommunications, information technology
- Course goal: Introduce history, fundamental concepts, and practical multimedia delivery in LTE
- Target level: Beginner to intermediate (concepts and practical applications)
- Assessment framework: Preferably Bloom’s Taxonomy (Remember, Understand, Apply, Analyze, Create/Evaluate)
- Number of learning outcomes: 4 core outcomes (as per your text)
- Target skill set: Theoretical concepts, wireless data delivery principles, LTE implementation basics, communication and conceptual understanding of multimedia services
- Constraints: Language of instruction (English by choice); any specific format or keywords can be accommodated
Learning content
- Module 1
- Introduction and History of Cellular Communication Systems
- Module 2
- Principles of Wireless Communication Theory
- Module 3
- Principles of Wireless Resource Management
- Module 4
- Multiple Antenna Technologies
- Module 5
- Physical Layer Design of LTE systems
- Module 6
- LTE Cellular Networks and Services
Approach/method
Online
Duration
1 week at 10 hours a week
Assessment
Yes
Certification
Yes
Provider contacts
Date
Always available
Location
Online
Website
Course title: Machine Learning for All
Target group: Junior (Fresh Employee)
Level: Awareness
Machine Learning for All
Provider
Coursera
Description
Machine Learning, often called Artificial Intelligence or AI, is one of the most exciting areas of technology at the moment. We see daily news stories that herald new breakthroughs in facial recognition technology, self-driving cars or computers that can have a conversation just like a real person. Machine Learning technology is set to revolutionize almost any area of human life and work, and so will affect all our lives, and so you are likely to want to find out more about it. Machine Learning has a reputation for being one of the most complex areas of computer science, requiring advanced mathematics and engineering skills to understand it. While it is true that working as a Machine Learning engineer does involve a lot of mathematics and programming, we believe that anyone can understand the basic concepts of Machine Learning, and given the importance of this technology, everyone should. The big AI breakthroughs sound like science fiction, but they come down to a simple idea: the use of data to train statistical algorithms. In this course you will learn to understand the basic idea of machine learning, even if you don’t have any background in math or programming. Not only that, you will get hands on and use user friendly tools developed at Goldsmiths, University of London to actually do a machine learning project: training a computer to recognize images. This course is for a lot of different people. It could be a good first step into a technical career in Machine Learning, after all it is always better to start with the high-level concepts before the technical details, but it is also great if your role is non-technical. You might be a manager or other non-technical role in a company that is considering using Machine Learning. You really need to understand this technology, and this course is a great place to get that understanding. Or you might just be following the news reports about AI and interested in finding out more about the hottest new technology of the moment. Whoever you are, we are looking forward to guiding you through you first machine learning project. NB this course is designed to introduce you to Machine Learning without needing any programming. That means that we don’t cover the programming-based machine learning tools like python and TensorFlow.
Target
- Non-technical professionals (managers, executives) interested in understanding AI/ML
- Beginners without prior math or programming background
- Anyone interested in AI breakthroughs and technology trends
- Individuals considering a technical career in Machine Learning (as a first step)
Sector
- Business and Corporate Management
- Education and Academia
- Technology and Innovation (non-technical roles)
Area
- Artificial Intelligence / Machine Learning
- Data-driven decision making
- AI applications in image recognition and automation
Learning outcomes
- You will understand the basic of how modern machine learning technologies work
- You will be able to explain and predict how data affects the results of machine learning
- You will be able to use a non-programming based platform train a machine learning module using a dataset
- You will be able to form an informed opinion on the benefits and dangers of machine learning to society
Learning content
- Machine learning:
- In this topic you will learn about artificial intelligence and machine learning techniques. You will learn about the problems that these techniques address and will have practical experience of training a learning model.
- Data Features:
- In this topic you will learn about how data representation affects machine learning and how these representations, called features, can make learning easier.
- Machine Learning in Practice:
- In this topic you will get ready to do your own machine learning project. You will learn how to test a machine learning project to make sure it works as you want it to. You will also think about some of the opportunities and dangers of machine learning technology.
- Your Machine Learning Project:
- In this final topic you will do your own machine learning project: collecting a dataset, training a model and testing it.
Approach/method
Online
Duration
Approximately 20 hours
Assessment
Yes
Certification
Yes
Cost
Free
Provider contacts
Date
Always available
Location
Online
Website
Course title: SQL & Power BI: Your Data Analytics & Visualisation Journey
Target group: Junior (Fresh Employee)
Level: Foundations
SQL & Power BI: Your Data Analytics & Visualisation Journey
Provider
Udemy
Description
This course will walk you through fundamental data concepts, with practical exercises, in order to build you from an absolute beginner to a skilled user, in both analysis and visualisation, working through the examples together to give you live practice.
Upon enrolling, you’ll gain instant, lifetime access to all sections of the course for Microsoft SQL Server and Power BI, as well as the data files and scripts necessary for the exercises.
Our approach is a stepped approach, meaning that you will keep gaining more and more building blocks as you work through the lectures. This means you will be equipped with the necessary knowledge to conduct data analytics and visualise your data to a professional standard.
You’ll get access to all sections of the course that will teach you the fundamentals from the ground up, supported with over 8 hours of clear, structured content to start your data journey.
The course starts with ‘Core SQL’, where you will gain an in-depth understanding of the core functions in SQL. You will learn creating databases, to the most frequently used queries, to advanced filtering, to bucketing results:
- Introduction to the SQL interface and how to navigate and import data
- Understanding data types and obtaining data from tables by using the SELECT and FROM statements
- Creating new tables using the INTO statement
- Applying basic and complex filters on data sets by using WHILE, IN and LIKE statements
- Aggregating data to create reports by using the GROUP BY statement
- Understanding how to apply non-aggregation and aggregation filtering
- Creating new data columns based on constraints and conditions by using the CASE statement
- Appending tables using UNION and UNION ALL statements
- Utilising data from different tables to create master tables by using the JOIN statement
- Things to look out for when managing databases
Next you’ll learn the more advanced SQL functions and concepts in the ‘Intermediate SQL’ section of the course. This includes data conversion, data cleansing, running totals, views, variables, stored procedures, and more:
- Understanding and working with NULL values by using ISNULL and COALESCE statements
- Using the CAST and CONVERT statements to change data types
- Applying window functions (such as RANK and ROW_NUMBER) to introduce a row count and ranking to the data
- Using the PARTITION statement to split the window function operations on data (such as running totals)
- Using the VIEW statement to create virtual tables and manipulate data
- Understanding variables and stored procedures to make SQL code and queries more dynamic
The next (bonus!) section is a ‘SQL Query Walkthrough Guide’ – so you’ll never get lost on how to script your queries correctly!
The final section of this course covers Microsoft’s intuitive ‘Power BI’ data visualisation tool. We go into the importance of data visualisation, show how powerful it is, and build multiple dashboards to gain important data insights:
- Understanding the concepts and importance of data visualisation
- Understanding how to import data into Power BI directly from SQL
- How to navigate through the back end of Power BI and manipulate data to satisfy our needs
- How to create meaningful visualisations and dashboards which can be used to show relevant findings
Target
- For those who are new and curious about SQL & Power BI
- Students who are willing to put in a couple of hours to learn about analytics
- Students who want to add data skills to their tool-belt
- Beginner SQL
- Beginner Power BI
- For those who are interested in Data Analytics and a gateway into Data Science
Sector
- Education/Training; small to mid-sized organizations seeking foundational SQL skills
- Corporate analytics; IT departments; consulting teams needing deeper SQL proficiency
- Data analytics teams; BI and database professionals requiring workflow clarity
- Business intelligence; data visualization teams; decision-support roles
Area
- Data fundamentals; SQL basics; data retrieval, filtering, aggregation, and simple joins
- Advanced SQL concepts; data transformation; NULL handling; casting/conversion; window functions; views; stored procedures
- Practical scripting walkthroughs; query construction patterns; debugging and readability
- Data visualization; importing data from SQL; Power BI backend manipulation; dashboard design and storytelling with data
Learning outcomes
- Core SQL – the SQL interface, navigation, importing data for analysis
- Core SQL – retrieving, filtering, and aggregating data using the SELECT, FROM, WHERE, IN, LIKE, GROUP BY, HAVING statements
- Core SQL – the INTO statement for creating new tables and using the CASE statement to compute new columns based on conditions
- Core SQL – joining tables together using various JOIN statements to enrich data analysis
- Intermediate SQL – dealing with NULLs, converting data types, and data cleansing using the ISNULL, COALESCE, CAST, CONVERT, and REPLACE statements
- Intermediate SQL – using window functions such as ROW_NUMBER, RANK, PARTITION, and learning running totals to increase the functionality of datasets
- Intermediate SQL – understanding the importance of subquerying, views, and variables in SQL data analysis as well as the importance of stored procedures
- Power BI – understand the importance, concepts and power of data visualisation
- Power BI – learning how to directly import data from SQL and relate tables in the back-end of Power BI
- Power BI – creating meaningful dashboards using Power BI visualisation objects for in-depth data insights
- The skills to analyse different types of data sets!
- Quizzes to test your knowledge as you progress through the course
Learning content
- Welcome to Your Data Analytics & Visualisation Journey!
- Core SQL (Microsoft SQL Server)
- Intermediate SQL
- BONUS: SQL Query Walkthrough Guide & Linking SQL to Excel
- Power BI
Approach/method
Online
Duration
11 hours on-demand video
Assessment
No
Certification
Yes
Provider contacts
Date
Always available
Location
Online
Website
Course title: Zero to Hero on Salesforce Data Cloud Training
Target group: Mid Level Employee
Level: Foundations
Zero to Hero on Salesforce Data Cloud Training
Provider
Udemy
Description
Master Salesforce Data Cloud with Confidence
Demystify Salesforce Data Cloud and take your career to the next level with our comprehensive online course.
Learn, Apply, and Advance Your Career Today
Are you a Salesforce professional looking to step into the future of data management? Our Salesforce Data Cloud Course on Udemy equips you with the skills and knowledge to implement Salesforce Data Cloud in real-world projects, unlocking new opportunities and career growth.
Whether you’re a Solution Architect, Technical Architect, or Salesforce Developer, this course is tailor-made to help you stand out in a competitive market by mastering Salesforce’s most cutting-edge platform.
Why Master Salesforce Data Cloud?
Salesforce Data Cloud is revolutionizing data management with unified customer profiles, real-time insights, and seamless integration across platforms. By mastering this platform, you’ll be equipped to solve critical business challenges and drive data-driven decisions effectively. Here’s why learners love this course:
- Hands-on Learning to Apply Immediately
Learn how to use tools like Data Cloud Modeling, Identity Resolution, and Segmentation through interactive, practical exercises you can apply to real-world scenarios.
- Boost Your Career Prospects
By mastering Data Cloud, you unlock job opportunities in high-demand roles across Salesforce ecosystems.
- Simplify Data Challenges
The course focuses on solving real-world data challenges, including managing Personally Identifiable Information (PII) and creating unified data profiles.
What You’ll Learn
Gain an in-depth understanding of Salesforce Data Cloud with topics that include:
- Building Unified Customer Profiles
Learn to consolidate customer data from multiple sources into a single, actionable view.
- Leveraging Data Modeling
Understand how to model and process data seamlessly for generating actionable insights.
- Working with Identity Resolutions
Explore advanced methods of matching and reconciling records for an accurate single source of truth.
- Mastering Data Transformations
Delve into both batch and streaming data transformation to empower real-time decision-making and historical analysis.
- Activating Data for Business Growth
Learn how to create audience segments and put insights to work in marketing campaigns or business strategies.
- Real-World Projects
Personalized training helps you build expertise through actionable insights and guided exercises from industry experts.
Target
- Salesforce Professionals (Solution Architects, Technical Architects, Developers)
- Data Management Specialists in Salesforce ecosystem
- Data Analysts and Business Intelligence professionals
Sector
- Technology / Software / Cloud Computing
- Information Technology / Data Management
- Salesforce and Cloud CRM solutions
Area
- Data Management and Integration
- Customer Data Platform (CDP) / Data Cloud
- Real-time Data Processing and Insights
- Customer Relationship Management (CRM) Data Enhancement
Learning outcomes
- Master core capabilities like DLO, DSO, and DMO to optimize Salesforce Data Cloud operations.
- Learn to ingest and process data from AWS S3 Server for seamless integration and transformation.
- Gain skills in identity resolution, segmentation, and activation to enhance personalized customer experiences.
- Apply knowledge through real-world projects to build practical expertise in Salesforce Data Cloud.
Learning content
- Foundations Of Salesforce Data Cloud
- Core Capabilities of Data Cloud
- Data Ingestion and Storage
- Data Modeling and Mapping
- Data Transform and Data Space
- Identity Resolution
- Data Cloud Insights Using AWS Data Set
- Segmentation and Activation
- Real Time Project – Customer Purchase Behavior Analysis
Approach/method
Online
Duration
10.5 hours on-demand video
Assessment
No
Certification
Yes
Cost
€54.99
Provider contacts
Date
Always available
Location
Online
Website
Course title: GCP – Google Cloud Professional Cloud Network Engineer
Target group: Mid Level Employee
Level: Extended Know-How
GCP – Google Cloud Professional Cloud Network Engineer
Provider
Udemy
Description
Google Cloud Platform GCP is Fastest growing Public cloud. Professional Cloud Network engineer certification is the one which help you to advance your career in Cloud Computing & learn about Google cloud networking.
Welcome to my course on Google Cloud Professional Network Engineer Certification, Which is one of most updated best course on internet.
This course has 15 Hours of insanely great video content with 90 plus hands-on Lab (Most Practical Course)
Do you want to learn about the network at planet scale.
You want to deploy application in a network where Google biggest application like search, YouTube, Play store has been deployed.
Do you want to learn about network in the context of Google cloud.
Do you want to learn about different Google cloud networking services and product like VPC, cloud load balancer, firewall, route, NAT, hybrid connectivity, cloud interconnect, cloud VPN.
If yes, You are at right place.
Cloud is the future and GCP is Fastest growing Public cloud.
87 percentage of Google Cloud certified individuals are more confident about their cloud skills.
More than 1 in 4 of Google Cloud certified individuals took on more responsibility or leadership roles at work.
Google Cloud Professional Network Engineer Certification is the best to invest time and energy to enhance your knowledge about GCP Networking.
So, I created most practical comprehensive course will prepare you for Professional Cloud Network Engineer certification.
I am all exited to help you on your journey towards Google Cloud Professional Cloud Network Engineer Certification.
and So, Designed most comprehensive training on GCP, having 15 hours of HD quality video content.
I believe in learning by doing and it’s very much practical course
- 90+ Hands-on Demo
- 80% Practical + 20% Theory – Highly Practical course
- Highly relevant to exam topics
- Covers all major topics related to VPC, routes, firewall, network peering, shared vpc, cloud vpn, hybrid connectivity, cloud interconnect, cloud load balancer, cloud Armor, IAP, private service connector.
- Minimum on Slides + Maximum on GCP cloud console
Have a look at course curriculum, to see depth of Course coverage.
Major Theme of course topics :
1. GCP Basics, VPC & Subnets
In this module I will teach you GCP account setup, regions, zones, Setup Virtual private cloud, Default VPC, Subnet creation in automate & custom mode.
2. VPC Network Peering & centralized VPC
In this module I will teach you how to setup connectivity between two different VPC using VPC Network Peering & How to share network with shared VPC, so one network can be used in multiple projects.
3. VPC Firewall
Here we will learn how to implement firewall rule to deny or allow traffic based on different protocol having IP, Tag, Service account based.
4. Configure Private access
In this module we will learn about how to access different GCP services or outside services privately with just internal IP address from VPC network resource.
5. Cloud IAP
In this module we will learn how to secure app at http, TCP & SSH level using Identity aware proxy.
6. IP address
In this section we will learn different types of IP address like internal, static, external, ephemeral, address ranges like primary IP & Secondary IP ranges & how to configure these concept with compute engine & kubernetes engine.
7. Hybrid Networking
In these set of section we learn about how to connect on-premise data center to Google cloud network using different hybrid connectivity networking products like cloud interconnect, Cloud VPN, state routing, dynamic routing.
8. Cloud load balancer + Cloud DNS
In this few section we will be learning how to setup cloud load balancer with hands-on demo on http/https based load balancer to set up for static content on cloud storage, unmanaged instance group, managed instance group and attach with a cloud DNS
9. Cloud CDN
In this section we will see how to configure cloud CDN to reduce your response for serving traffic
10. Cloud Armor
Hindi section we will learn about network security product cloud armor to protect your application with advance web application layer firewall protection and DDos attack prevention.
11. Logging Here will see how to configure for flow log at subnet level so that you can better track all the packets & network
Target
- Anyone want to pass Google Cloud Professional Cloud Network Engineer Certification
- Anyone want to learn Networking in Google Cloud
- Anyone want to deploy secure app via networking
Sector
- Information Technology / Cloud Computing
Area
- Google Cloud networking concepts and services (VPC, subnets, firewall, peering, shared VPC, private access, IAP, IP addressing, hybrid connectivity, Cloud Interconnect, Cloud VPN, Load Balancer, DNS, CDN, Cloud Armor, logging)
Learning outcomes
- Learn networking on GCP in depth
- 15+ Hours of Video content having 90+ Hands-on Lab
- Different GCP Networking Services & Products
- How to Implement VPC, Subnet, Firewall inside GCP Network
- Cloud IAP to secure app
- Implement Cloud VPN, Static Routing & Dynamic Routing
- GCP inter network communication with Network Peering & Shared VPC
- Implement how to privately access resources from GCP network
- Learn how to manage different types of IP & configure them
- Distribute traffic with Cloud Load balancer
- Secure app with Cloud Armor
- Connect On-premises with GCP using Interconnect
- How to implement Cloud DNS & CDN setup for your application
- Monitor flow logs, Service tiers
Learning content
- Introduction
- GCP Basics
- Networking Basics
- VPC & Subnets
- VM-to-VM Communication in Zones, Regions, VPC
- VPC network Peering
- Centralized VIPC
- VPC Firewall
- Configure Private Access
- Cloud IAP
- Configure IP address
- Multiple IP address
- Kubernetes networking
- Hybrid Networking
- Cloud VPN & Routing (Static)
- Cloud VPN – Dynamic Routing
- Cloud NAT
- Cloud Interconnect
- Cloud Load balancer
- Cloud DNS-1
- Cloud Load Balancer-Demo Cntd…
- Cloud CDN
- Cloud Armor
- Logging & Monitoring
- Role Plays
Approach/method
Online
Duration
15 hours on-demand video
Assessment
No
Certification
Yes
Provider contacts
Date
Always available
Location
Online
Website
Course title: Docker & Kubernetes: The Practical Guide
Target group: Junior (Fresh Employee)
Level: Foundations
Docker & Kubernetes: The Practical Guide
Provider
Udemy
Description
This course will teach you both Docker & Kubernetes from the ground up with all the required theory and tons of examples and demos!
We’ll explore all key concepts in detail and with practical examples and demos – from images and containers, over volumes and networking all the way up to deployment and Kubernetes Cluster: This course has it all!
In detail, this course includes the following topics:
- A thorough introduction to Docker, containers and why you might want to use Docker
- Detailed setup instructions for macOS and Windows
- A deep-dive into the core concepts you need to know: Containers & images
- Learn how to create custom images, use existing images and how to run containers based on such images
- Get a detailed overview of the core commands you need when working with Docker
- Learn how to work with data and how to persist data with volumes
- Explore container networking – with the outside world and between multiple containers
- Learn how to work with both single and multi-container projects
- In-depth deployment instructions: Manual deployment and deployment with managed services like AWS ECS
- Understand Kubernetes core concepts & architecture
- Learn how to create Kubernetes resources, deployments, services and how to run your containers with Kubernetes
- Dive deeply into working with data in Kubernetes projects – with different types of volumes
- Kubernetes networking and DNS service discovery
- Learn how to deploy your Kubernetes project (at the example of AWS EKS)
- And much more!
All these topics are taught in great detail with slides and theory but also, most importantly, with many examples and demo! You’ll find tons of demo projects throughout the course – using programming languages like NodeJS, Python or PHP (with Laravel). You don’t need to know these languages to follow along though, no worries!
Target
- Aspiring DevOps engineers seeking foundational to advanced Docker and Kubernetes skills
- Software developers (Node.js, Python, PHP/Laravel) aiming to containerize apps and deploy with Kubernetes
- IT professionals responsible for application deployment, CI/CD, and cloud infrastructure
- Tech students or professionals needing practical, demo-driven learning in containerization and orchestration
Sector
- Information Technology (IT) and Software Development
- Cloud/DevOps services and consulting
- SaaS and web application deployment environments
- Educational technology and training providers
Area
- Docker fundamentals: containers, images, setup, core commands
- Containerization concepts: images vs containers, data persistence with volumes
- Container networking: external networking, inter-container communication
- Multi-container projects: orchestration basics, manual vs automated deployment
- Deployment practices: manual deployment, managed services (e.g., AWS ECS)
- Kubernetes fundamentals: core concepts, architecture, resources (deployments, services)
- Kubernetes operations: running containers with Kubernetes, volumes, data management
- Kubernetes networking and DNS service discovery
- Cloud deployment: AWS EKS example deployments
- Practical demos: hands-on exercises with Node.js, Python, PHP/Laravel (optional prerequisite)
Learning outcomes
- Learn what Docker and Kubernetes are and why you might want to use them
- Learn how to install and use Docker on any system (macOS, Windows, Linux)
- Learn how to create and use Images & Containers with Docker
- Understand complex topics like managing and persisting data with Volumes
- Learn about Container Networking with Docker Networks and DNS Service Discovery
- Learn how to deploy Docker applications – manually, with managed services or with Kubernetes
Learning content
- Getting Started
- Docker Images & Containers: The Core Building Blocks
- Managing Data & Working with Volumes
- Networking: (Cross-)Container Communication
- Building Multi-Container Applications with Docker
- Docker Compose: Elegant Multi-Container Orchestration
- Working with “Utility Containers” & Executing Commands In Containers
- A More Complex Setup: A Laravel & PHP Dockerized Project
- Deploying Docker Containers
- Docker & Containers – A Summary
- Getting Started with Kubernetes
- Kubernetes in Action – Diving into the Core Concepts
- Managing Data & Volumes with Kubernetes
- Kubernetes Networking
- Kubernetes – Deployment (AWS EKS)
- Roundup & Next Steps
Approach/method
Online
Duration
23.5 hours on-demand video
Assessment
Yes
Certification
Yes
Provider contacts
Date
Always available
Location
Online
Website