Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
Our Courses
Introduction to Cloud Infrastructure Technologies
Learn the fundamentals of building and managing cloud technologies directly from The Linux Foundation, the leader in open source.
-
Course by
-
11
-
English
IBM AI Enterprise Workflow
This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production.
-
Course by
-
English
Preparing for Google Cloud Certification: Cloud Developer
A Cloud Developer designs, builds, analyzes, and maintains cloud-native applications. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Cloud Developer role. Once you complete the path, check out the Google Cloud Developer certification to take the next steps on your professional journey.
-
Course by
-
Self Paced
-
English
Digital Transformation Using AI/ML with Google Cloud
This series of courses begins by introducing fundamental Google Cloud concepts to lay the foundation for how businesses use data, machine learning (ML), and artificial intelligence (AI) to transform their business models. The specialization is intended for anyone interested in how the use of AI and ML for the cloud, and especially for data, creates opportunities and requires change for businesses. No previous experience with ML, programming, or cloud technologies is required. The courses do not include any hands-on technical training.
-
Course by
-
Self Paced
-
English
Google Cloud Database Engineer
A Database Engineer designs, creates, manages, migrates, and troubleshoots databases used by applications to store and retrieve data. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Database Engineer role. Once you complete the path, check out our catalog for 700+ labs and courses to keep going on your professional journey.
-
Course by
-
Self Paced
-
English
Aruba Cloud Basics
In Aruba Cloud Basics you will learn what cloud networking is, compare cloud technologies and their various use cases and implementation types. Once you learn about those you will be well on your way to understanding cloud use cases and how to leverage cloud services from Aruba. Part 1 introduces Aruba cloud technologies, products, and challenges in doing a cloud deployment. Explore concepts such as network management systems, orchestration, and security and learn how to move your applications to the cloud.
-
Course by
-
Self Paced
-
4 hours
-
English
Capstone: Build a Winning Investment Portfolio
Put your investment and portfolio management knowledge to the test through five weeks of hands-on investment experiences: • Developing and managing your own simulated investment portfolio, resulting in a peer-graded report covering portfolio strategy, analysis, and performance • Advising case study clients on a variety of investment topics, essentially acting as an investment advisor in a simulated environment recommending strategies for and changes in portfolios based on challenges and issues faced by your clients • Using the sophisticated web-based analytical tools of Silicon Cloud Techn
-
Course by
-
Self Paced
-
10 hours
-
English
Microsoft Azure for Data Engineering
The world of data has evolved and the advent of cloud technologies is providing new opportunities for businesses to explore. In this course, you will learn the various data platform technologies available, and how a Data Engineer can take advantage of this technology to an organization's benefit. This course part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
-
Course by
-
Self Paced
-
6 hours
-
English
IoT Cloud
This course is the last course in our series of four courses and builds on the previous three courses: IoT Devices, IoT Communications, and IoT Networking. After we have built and programmed a small self-driving vehicle, we then set out to enhance its connectivity and add important security infrastructure. In this course we will now look closer into various remaining types of decentralized network topography. In the lab, we will additionally cover important cloud technologies based on machine-learning. In the first two weeks' lectures, we will cover important components of networks.
-
Course by
-
Self Paced
-
19 hours
-
English
Juniper Cloud Concepts and Open Source Technologies
In this course, you will learn fundamental cloud computing concepts. This course covers key benefits of cloud computing, cloud service models such as SaaS and IaaS; public, private and hybrid cloud deployment models and open-source cloud technologies. You will learn about Linux virtualization techniques, QEMU-KVM, Libvirt and popular cloud instance initialization approach cloud-init. This course covers the concepts of namespaces and how to connect them through Linux bridges and OpenvSwitch. You will also learn about containerization through Docker, Dockerfile and Docker networking.
-
Course by
-
Self Paced
-
5 hours
-
English
Intel Telco Cloud Technologies
The shift to cloud-native deployment models and containerized microservices empowers CoSPs to deploy composable applications anywhere in the infrastructure. Transformation technologies for Telco Networking have built upon Network Functions Virtualization (NFV) and Soft Defined Networking (SDN) for use in network functions virtualization implementations.
-
Course by
-
Self Paced
-
34 hours
-
English
IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies
IoT (Internet of Things) devices are already abundant, but new products that include IoT modules are now a common trend. Also, almost everything is already connected to a Cloud, and much more will be in the future. Naturally, as this trend continues, in the near future almost all devices and appliances will include IoT modules which will use sensor data collection and control/management based on Clouds.
-
Course by
-
Self Paced
-
13 hours
-
English