Online or onsite, instructor-led live Cloud Computing training courses demonstrate through hands-on practice the fundamentals of cloud computing and how to benefit from cloud computing.
Cloud Computing training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Cloud Computing training can be carried out locally on customer premises in Canada or in NobleProg corporate training centers in Canada.
NobleProg -- Your Local Training Provider
Testimonials
Gabriel was very organized and prepared for this training. He answered all questions and clarify the AWS notions and architecture. Great job, Gabriel.
Mircea Turcu
Course: AWS Architect Certification
Experience testing a real-world cluster was good and it was interesting to hear about Rena to's real experiences of operating OpenStack.
UKRI - UK Shared Business Services Ltd
Course: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
I mostly enjoyed the interaction with the trainer.
UKRI - UK Shared Business Services Ltd
Course: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
I was benefit from the coverage of relevant topics and discussion/focus on needed subjects.
vasanth kumar - HGS - Hinduja Global Solutions
Course: AWS Architect Certification
Trainer is trying to answer to the additional requests, even if it involves to change his plans.
ORANGE
Course: Cloud computing essentials for managers / software engineers
Jorge tries his best to help with our environment setups and other things we want to try.
JIMMY CHUN MING CHAN - THALES TRANSPORT & SECURITY (HONG-KONG) LIMITED
Course: Developing for Cloud Foundry
I genuinely liked the new technology.
PCCW
Course: AWS Developer Associate
Practice parts
Instytut Lotnictwa
Course: AWS Developer Associate
The training is practical and it is good for understanding how to use AWS step by step
PCCW
Course: AWS Developer Associate
That the trainer was able to adapt to specific questions/situations
Inforit BV
Course: Kubernetes on Azure (AKS)
That she asked for feedback everyday to improve on the next day's lectures
Bacher Systems EDV GmbH
Course: Terraform Fundamentals for Beginners
That it was all new technology and offerings to myself. After being shown how quick and easy it is to set up certain services in AWS, I feel I could get a real benefit out of it for quick project and proposal prototyping.
MDA Systems Ltd.
Course: AWS Developer Associate
Fernando knew the products and how to use them. His willingness and friendliness to assist in the hands-on lab was great.
MDA Systems Ltd.
Course: AWS Developer Associate
There was a good general pass over what seemed like the most important parts of AWS. The instructor was open to questions and addressed areas of AWS that were not part of the outline based on our questions.
MDA Systems Ltd.
Course: AWS Developer Associate
I liked getting to understand the breadth of the services offered by AWS and gaining a better understanding of their pricing model for each of those services.
William Crowdis - MDA Systems Ltd.
Course: AWS Developer Associate
Thought it was a good overview of a lot of different services. Liked the detail on IAS.
MDA Systems Ltd.
Course: AWS Developer Associate
Explaining why it's financially viable to do these things
MDA Systems Ltd.
Course: AWS Developer Associate
It provided context for the things we do in AWS.
MDA Systems Ltd.
Course: AWS Developer Associate
Everything. I had played around with AWS before but just on my own personal time. The training really brought everything together, with real world examples and how many individual pieces can be bolted together for a applicable solution.
Matt Sartain - MDA Systems Ltd.
Course: AWS Developer Associate
Hands-on labs
MDA Systems Ltd.
Course: AWS Developer Associate
He knew what he was talking about
KnowledgePool
Course: Terraform for Managing Cloud Infrastructure
Reda took onboard suggestions for changes to approaches and as a result being able to walk through the examples with explanations as to what was happening/expected/required etc was very beneficial and helped my understanding, thank you Reda.
KnowledgePool
Course: Terraform for Managing Cloud Infrastructure
The exercises which we did during Friday morning, they were presented at a time when concentration was peak, with plenty of scope for guidance when required.
Roni Colling - KnowledgePool
Course: Terraform for Managing Cloud Infrastructure
very knowledgeable
Tony Edogiawerie - KnowledgePool
Course: Terraform for Managing Cloud Infrastructure
The trainer was knowledgeable in many related technical areas and displayed a real passion for the subject being taught
KnowledgePool
Course: Terraform for Managing Cloud Infrastructure
It was fast paced, but that keeps us on our toes, I requested the material to be sent to me, and it has been, so I am now able to review this at a more measured pace, to fully digest the content
Rupert Hirst - KnowledgePool
Course: Terraform for Managing Cloud Infrastructure
Mix of lectures and practical exercises
KnowledgePool
Course: Terraform for Managing Cloud Infrastructure
Training is good but require more time to practice test
Manu Megaravalli - HSBC Service Delivery (Polska) Sp. z o o.
Course: AWS Architect Certification
I really liked the training. It was very informative and clear explanation of all topics during whole training
Venkatesh Varanasi - HSBC Service Delivery (Polska) Sp. z o o.
Course: AWS Architect Certification
Since I am from network security the tropic interested me are network configuration and security management .As mentioned earlier 16 hours is not enough to cover all the topics , but the training is planned in such a way to provide an overview of how the cloud works .
Sanjith Cherian - HSBC Service Delivery (Polska) Sp. z o o.
Course: AWS Architect Certification
To get a better understanding about OpenStack.
Jan Gustafsson - Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
It was very easy communication during all the course, got answers and help in very pedagogical manner. The trainer is very experienced, I recommend him anyone who is interested in getting good knowledge in this very complicated area :-)
Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
The broad perspective of Openstack, no chance to dive in to deep to be able to keep schedule, more to where to get information from.
Jörgen Selegran - Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
A good mix of hands on exercises and lectures!
Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
The flexibility to answer questions. Good pdf, good examples
Conny Vigström - Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
Damian, is very skilled, I'm very pleased with everything, no complains, best training session I've participated in for a long time… It's very difficult to have a training course like this, totally remote, you did a great job, It went very well, there were no issues.
Peter Erlandsson - Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
The virtual desktop in a browser feature was kind of neat.
Mikael Karlsson - Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
The network parts.
Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
Despite the 2 days, trainer has performed well. I personally thanks to him.
Baris Aydogmusoglu - HSBC Service Delivery (Polska) Sp. z o o.
Course: AWS Architect Certification
showing the different features of AWS and help the audience in case something doesn't work properly.
Issam IEBOUBEN - HSBC Service Delivery (Polska) Sp. z o o.
Course: AWS Architect Certification
The varied topics
Daniel Lindh - Tele 2 Sverige AB
Course: OpenStack for Telecom
I like that we before the training had some meetings to discuss what parts we should focus on, and what is interesting for us at Tele2.
Tele 2 Sverige AB
Course: OpenStack for Telecom
The paste, all the information I got.
Tele 2 Sverige AB
Course: OpenStack for Telecom
Playing around in a non production environment.
Tele 2 Sverige AB
Course: OpenStack for Telecom
Learning about Kubernetes.
Felix Bautista - SGS GULF LIMITED ROHQ
Course: Kubernetes on Azure (AKS)
I would say that the trainor really explain well. I like his strategy on teaching. He ensures that we really learn before proceeding to the next topic.
SGS GULF LIMITED ROHQ
Course: Kubernetes on Azure (AKS)
IOT applications
Palaniswamy Suresh Kumar - Makers' Academy
Course: Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」
The trainer is good - willing to share, ask question and answer queries. The trainer's first hand sharing on the different types of IoT, different applications (e.g., in durians), the demonstration parts.
Makers' Academy
Course: Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」
Great balance between theory and practice Ability to try every single subject in the real environment
GE Medical Systems Polska Sp. Z O.O.
Course: AWS Lambda for Developers
Some of our clients
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Cloud Computing Course Outlines in Canada
Course Name
Duration
Overview
Course Name
Duration
Overview
7 hours
Overview
This course has been created for people who want to understand how to benefit from cloud computing. It uses Amazon EC2 example, but can be tailored to other providers.
7 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at security administrators who wish to secure Azure workloads.
By the end of this training, participants will be able to:
- Administrate host security, network security, and more.
- Set up storage and database security in Azure.
- Implement security monitoring using Azure resources.
- Prevent malicious cyber attacks on data and infrastructures.
By the end of this training, participants will be able to:
- Administrate host security, network security, and more.
- Set up storage and database security in Azure.
- Implement security monitoring using Azure resources.
- Prevent malicious cyber attacks on data and infrastructures.
14 hours
Overview
The course is providing practical knowledge on OpenStack and private cloud security. It starts from the introduction to the system, then the participants are getting practical knowledge on security in private clouds and securing OpenStack installation.
28 hours
Overview
The course is a comprehensive training on OpenStack. It starts with the introduction to the system, then through hands-on workshops it gives practical knowledge on managing private clouds based on OpenStack, finally troubleshooting and advanced, architectural topics are present. The goal of this course is to familiarize with the OpenStack ecosystem as well as to give a strong background for further expansion and refinement of the OpenStack clouds. The course comprises all topics necessary to accomplish the Certificate OpenStack Administrator exam. 75% of the course is based on hands-on workshop in the real OpenStack training environment.
14 hours
Overview
The aim of this course is twofold - gain solid knowledge about OpenStack architecture and acquire profound troubleshooting skills. In the architecture part you will learn how to design the hardware for the public and private cloud, prepare high-availability control plane, choose proper size of the flavours, and safely overcommit cloud resources, among other things. Getting knowledge about the internals of Neutron (Networking Service) is another essential part in OpenStack architecture. Next the participant will be introduced into methods of troubleshooting issues in OpenStack clusters starting from general tips, through network troubleshooting up to caveats of main OpenStack services. Around 75% of the course comprises of hands-on workshops in the real OpenStack training environment.
14 hours
Overview
The aim of this course is to get familiar with the OpenStack environment both from the operator and administrator side. After a brief introduction to cloud computing you will get your own OpenStack instance and perform hands-on operational and administrative actions. The course covers all the basic components of the OpenStack from general architecture to administering the cloud. The format of the course comprises around 75% of hands-on workshop in the real OpenStack environment.
21 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at engineers who wish to deploy software applications to any of a number of environments, from traditional infrastructure, to Kubernetes clusters or serverless functions.
By the end of this training, participants will be able to:
- Install and configure Pulumi.
- Declare cloud infrastructure using programming languages.
- Use Pulumi to deploy software using VMs, networks, and databases, as well as Kubernetes clusters and serverless functions.
- Deploy software to public, private, and hybrid cloud service infrastructures.
By the end of this training, participants will be able to:
- Install and configure Pulumi.
- Declare cloud infrastructure using programming languages.
- Use Pulumi to deploy software using VMs, networks, and databases, as well as Kubernetes clusters and serverless functions.
- Deploy software to public, private, and hybrid cloud service infrastructures.
14 hours
Overview
This instructor-led, live training in (online or onsite) is aimed at machine learning engineers who wish to use Azure Machine Learning and Azure DevOps to facilitate MLOps practices.
By the end of this training, participants will be able to:
- Build reproducible workflows and machine learning models.
- Manage the machine learning lifecycle.
- Track and report model version history, assets, and more.
- Deploy production ready machine learning models anywhere.
By the end of this training, participants will be able to:
- Build reproducible workflows and machine learning models.
- Manage the machine learning lifecycle.
- Track and report model version history, assets, and more.
- Deploy production ready machine learning models anywhere.
35 hours
Overview
Data analysis refers to the process of obtaining, cleaning, and analyzing data, often times in a visual manner, to derive insights for better decision making. More and more data is being stored in databases in the cloud so it is important to have a strategy for understanding, managing and accessing such data. One popular tool for accessing and visualizing data is Power Bi.
This instructor-led, live training (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.
By the end of this training, participants will be able to:
- Install and configure Power BI.
- Evaluate the various data solutions offered by cloud providers such as Azure.
- Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
- Apply tools and techniques to clean data in preparation for analysis.
- Build reporting and analytics solutions based on on-premise as well as cloud data.
- Integrate data analytics solutions with a data warehouse.
- Mitigate data security risks and ensure data privacy.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
This instructor-led, live training (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.
By the end of this training, participants will be able to:
- Install and configure Power BI.
- Evaluate the various data solutions offered by cloud providers such as Azure.
- Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
- Apply tools and techniques to clean data in preparation for analysis.
- Build reporting and analytics solutions based on on-premise as well as cloud data.
- Integrate data analytics solutions with a data warehouse.
- Mitigate data security risks and ensure data privacy.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
14 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning to build end-to-end machine learning models for predictive analysis.
By the end of this training, participants will be able to:
- Build machine learning models with zero programming experience.
- Create predictive algorithms with Azure Machine Learning.
- Deploy production ready machine learning algorithms.
By the end of this training, participants will be able to:
- Build machine learning models with zero programming experience.
- Create predictive algorithms with Azure Machine Learning.
- Deploy production ready machine learning algorithms.
14 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at system administrators who wish to manage and deploy G Suite for organizations.
By the end of this training, participants will be able to:
- Apply Google security practices with 2SV and SSO.
- Monitor domain and services usage through reports in the Admin Console.
- Set up and configure a G Suite Admin Console.
By the end of this training, participants will be able to:
- Apply Google security practices with 2SV and SSO.
- Monitor domain and services usage through reports in the Admin Console.
- Set up and configure a G Suite Admin Console.
28 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on Azure.
- Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on Azure.
- Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
14 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at cloud engineers who wish to store objects and unstructured data using MinIO.
By the end of this training, participants will be able to:
- Provide an alternative to Unix Commands with the MinIO Client.
- Use MinIO to build high performance infrastructures for machine learning, analytics, and more.
- Deploy MinIO on Kubernetes for orchestrated deployment to scale.
By the end of this training, participants will be able to:
- Provide an alternative to Unix Commands with the MinIO Client.
- Use MinIO to build high performance infrastructures for machine learning, analytics, and more.
- Deploy MinIO on Kubernetes for orchestrated deployment to scale.
8 hours
Overview
Summary:
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Hands on with Raspberry PI and AWS IoT Core to build a smart device.
- Sensor data visualization and communication with web interface.
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Hands on with Raspberry PI and AWS IoT Core to build a smart device.
- Sensor data visualization and communication with web interface.
14 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at software engineers who wish to develop parallel applications using OpenMP.
By the end of this training, participants will be able to:
- Understand and use parallel programming with Fortran in OpenMP.
- Calculate fractals in parallel to render multiple pixels and characters.
- Implement vector programming with SIMD extensions for HPC systems.
- Add parallel blocks for specifying shared memory parallelism.
By the end of this training, participants will be able to:
- Understand and use parallel programming with Fortran in OpenMP.
- Calculate fractals in parallel to render multiple pixels and characters.
- Implement vector programming with SIMD extensions for HPC systems.
- Add parallel blocks for specifying shared memory parallelism.
14 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at developers who wish to integrate a DynamoDB NoSQL database into a web application hosted on AWS.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start integrating data into DynamoDB.
- Integrate DynamoDB into web applications and mobile applications.
- Move data in AWS with AWS services.
- Implement operations with AWS DAX.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start integrating data into DynamoDB.
- Integrate DynamoDB into web applications and mobile applications.
- Move data in AWS with AWS services.
- Implement operations with AWS DAX.
7 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at engineers who wish to use AWS CloudFormation to automate the process of managing AWS cloud infrastructure.
By the end of this training, participants will be able to:
- Enable AWS services to get started managing infrastructure.
- Understand and apply the principle of "infrastructure as code".
- Improve quality and lower the costs of deploying infrastructure.
- Write AWS CloudFormation Templates using YAML.
By the end of this training, participants will be able to:
- Enable AWS services to get started managing infrastructure.
- Understand and apply the principle of "infrastructure as code".
- Improve quality and lower the costs of deploying infrastructure.
- Write AWS CloudFormation Templates using YAML.
14 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at developers who wish to integrate AWS Lambda applications and services with other services (API Gateway, Kinesis Streams, etc.). The training demonstrates how to use the browser-based AWS Cloud9 IDE to develop software collaboratively.
By the end of this training, participants will be able to:
- Collaboratively develop functions, applications and services using AWS Cloud9 IDE.
- Integrate AWS Lambda functions with other AWS services.
- Create and manage APIs.
- Set up an AWS Lambda function to read and process real-time streaming data.
- Create and manage a continuous integration pipeline for building, testing and deploying a AWS Lambda functions and applications.
By the end of this training, participants will be able to:
- Collaboratively develop functions, applications and services using AWS Cloud9 IDE.
- Integrate AWS Lambda functions with other AWS services.
- Create and manage APIs.
- Set up an AWS Lambda function to read and process real-time streaming data.
- Create and manage a continuous integration pipeline for building, testing and deploying a AWS Lambda functions and applications.
21 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at DevOps engineers with little or no previous experience managing infrastructure. Terraform will be used to automate the setup and deployment of infrastructure on and off the cloud.
By the end of this training, participants will be able to:
- Install and configure Terraform.
- Understand the principles of infrastructure as code.
- Set up and automate infrastructure using Terraform.
- Write and share configuration file with team members.
By the end of this training, participants will be able to:
- Install and configure Terraform.
- Understand the principles of infrastructure as code.
- Set up and automate infrastructure using Terraform.
- Write and share configuration file with team members.
14 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at engineers who wish to use Amazon EKS to deploy and scale containerized applications across AWS managed Kubernetes clusters.
By the end of this training, participants will be able to:
- Set up an EKS based Kubernetes cluster.
- Create and run a containerized application on Amazon EKS.
- Auto-scale a Containerized Application
- Automate the Deployment Process
- Integrate EKS based applications with a new or existing Continuous Integration workflow.
By the end of this training, participants will be able to:
- Set up an EKS based Kubernetes cluster.
- Create and run a containerized application on Amazon EKS.
- Auto-scale a Containerized Application
- Automate the Deployment Process
- Integrate EKS based applications with a new or existing Continuous Integration workflow.
14 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at engineers who wish to use Amazon ECS to deploying and scaling containerized applications.
By the end of this training, participants will be able to:
- Create a containerized application running on Amazon ECS.
- Understand how ECS Clusters and the ECS Agent work.
- Auto Scale a Containerized Application
- Automate the Deployment Process
- Integrate the Docker application deployment process with new or existing Continuous Integration workflows.
By the end of this training, participants will be able to:
- Create a containerized application running on Amazon ECS.
- Understand how ECS Clusters and the ECS Agent work.
- Auto Scale a Containerized Application
- Automate the Deployment Process
- Integrate the Docker application deployment process with new or existing Continuous Integration workflows.
28 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
21 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at engineers who wish to use Azure ML's drag-and-drop platform to deploy Machine Learning workloads without having to purchase software and hardware and without having to worry about maintenance and deployment.
By the end of this training, participants will be able to:
- Write highly-accurate machine learning models using Python, R, or zero-code tools.
- Leverage Azure's available data sets and algorithms to train and track machine learning and deep-learning models.
- Use Azures interactive workspace to collaboratively develop ML models.
- Choose from different Azure-supported ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
By the end of this training, participants will be able to:
- Write highly-accurate machine learning models using Python, R, or zero-code tools.
- Leverage Azure's available data sets and algorithms to train and track machine learning and deep-learning models.
- Use Azures interactive workspace to collaboratively develop ML models.
- Choose from different Azure-supported ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
21 hours
Overview
Audience
IT architects, mid-level IT managers, IT consultants
Format of the course
Currently 100% lectures.
IT architects, mid-level IT managers, IT consultants
Format of the course
Currently 100% lectures.
7 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at technical persons who wish to understand AWS products and services so as to make an informed decision about how to implement AWS cloud solutions within their organization.
By the end of this training, participants will be able to:
- Identify and understand the role of each of the services offered by AWS.
- Understand the terminology and concepts related to AWS.
- Navigate the AWS Management Console.
- Set up and manage team user accounts securely.
- Match AWS's services to an organization's problem and requirements.
- Make informed decisions about which AWS services to implement.
- Plan out a broad cloud solution strategy for an organization.
By the end of this training, participants will be able to:
- Identify and understand the role of each of the services offered by AWS.
- Understand the terminology and concepts related to AWS.
- Navigate the AWS Management Console.
- Set up and manage team user accounts securely.
- Match AWS's services to an organization's problem and requirements.
- Make informed decisions about which AWS services to implement.
- Plan out a broad cloud solution strategy for an organization.
21 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices.
By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.
By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.
7 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at cloud administrators, cloud architects, technology heads, and financial analysts who wish to record, manage, monitor, and process financial assets of an organization in the cloud.
By the end of this training, participants will be able to use FinOps practices in an organization to forecast costs, optimize processes, and perform financial management operations in the cloud.
By the end of this training, participants will be able to use FinOps practices in an organization to forecast costs, optimize processes, and perform financial management operations in the cloud.
7 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at programmers and developers who wish to use Fn in creating serverless applications and services.
By the end of this training, participants will be able to:
- Set up Fn to create directories and functions.
- Create applications using different programming languages.
- Monitor functions to resolve issues at the development and deployment stages.
By the end of this training, participants will be able to:
- Set up Fn to create directories and functions.
- Create applications using different programming languages.
- Monitor functions to resolve issues at the development and deployment stages.
7 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at executives, directors, and managers who wish to implement serverless computing solutions that meet organizational needs.
By the end of this training, participants will be able to strategize, monitor, and manage enterprise-grade productions with serverless models and platforms.
By the end of this training, participants will be able to strategize, monitor, and manage enterprise-grade productions with serverless models and platforms.
7 hours
Overview
This instructor-led, live training in Canada (online or onsite) is aimed at system administrators who wish to implement, monitor, and analyze IT operations using a serverless environment.
By the end of this training, participants will be able to:
- Manage IT operations using a Function-as-a-Service (FaaS) model.
- Automate functions to build multiple-tier web applications.
- Analyze and monitor infrastructures using a serverless framework.
By the end of this training, participants will be able to:
- Manage IT operations using a Function-as-a-Service (FaaS) model.
- Automate functions to build multiple-tier web applications.
- Analyze and monitor infrastructures using a serverless framework.
Upcoming Cloud Computing Courses in Canada
2021-05-11 09:30:00
14 hours
2021-05-28 09:30:00
7 hours
2021-06-07 09:30:00
35 hours
2021-06-10 09:30:00
14 hours
2021-06-15 09:30:00
14 hours
Other regions in Canada
Other countries
Consulting in Canada
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