This course teaches learners how to get started with Microsoft 365 Copilot Chat, craft effective prompts, and use its AI-powered features to enhance productivity, streamline work, and collaborate securely in real-time.
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The Automation Developer Associate Training is a curriculum for those looking to build their automation development competency from the ground up while also diving into more broader areas to gain a holistic understanding of how automation intertwines with various technologies.
It includes everything you need to know to pass the UiPath Certified Professional Automation Developer Associate Certification exam.
You’ll expand your automation knowledge going through the course syllabus designed to help you develop enterprise automation projects. The full list of courses that make up the training can be found in the ‘learning plan curriculum’ tab. You can click specific courses to view each specific agenda and learning objectives.
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The Automation Business Analyst Associate training is designed to equip you with the essential skills and knowledge needed to excel as an Automation Business Analyst, specifically focusing on the UiPath Automation Implementation Methodology. It covers both foundational and in-depth concepts.
Additionally, it allows you to develop your skills by going through practical case studies, thus gaining some hands-on experience.
Ready to embark on this transformative learning experience? Let’s go!
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Around the world, there are many organizations in both the public and private sectors, who recognize that their portfolio, programme and project management is best supported through a delivery support office. PRINCE2®, Managing Successful Programmes (MSP®), Management of Portfolio’s (MOP® )and Management of Risk (MoR®) all touch on the need to provide adequate support structures. P3O® provides a single source of information for guidance or
advice on setting up or running an effective delivery support office.Portfolio, Programme and Project Offices (P3O®) is a Best Management Practice certification that brings together a set of principles, processes and techniques to facilitate effective portfolio, programme and project management through enablement, challenge and support structures.
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Oracle Cloud Infrastructure Architect Associate
Develop key insights on core constructs of Oracle Cloud Infrastructure (OCI) and discover how its globally distributed infrastructure components can transform your enterprise operations. Gain practical experience and confidence in using OCI to meet various business and technical requirements.
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GitHub Advanced Security (GHAS) plays a crucial role in enhancing the security posture of software development projects on GitHub. It provides a comprehensive set of tools and features designed to identify and address security vulnerabilities throughout the development lifecycle.
By integrating security directly into the development process with GHAS, your team can build more secure and reliable software. The course will explore how to utilize GHAS to maximize security impact and understand GHAS and its role in the security ecosystem.
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Learn how GitHub Actions enables you to automate your software development cycle. You’ll learn how to plan automation of your software development life cycle with GitHub Actions workflows, use GitHub Actions to automatically build an application, and use GitHub Script to interact with the GitHub API.
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The Automation Developer Professional training is a curriculum for those looking to consolidate their development skills. Along with the Automation Developer Associate Training, it includes everything you need to know in order to pass the UiPath Certified Advanced RPA Developer (UiARD) exam.
You will start by learning about one of the key aspects to building enterprise level automations, using frameworks, and specifically the Robotic Enterprise Framework. Then, you will expand your knowledge in key areas like advanced UI automation and data manipulation, Orchestrator triggers, AI Computer Vision and remote debugging. The full list of 14 courses that make up the learning plan can be found in the learning plan curriculum tab. You can click specific courses to view the agenda and learning objectives.
In total, the full learning plan will take approximately 40 hours to complete.
At the end of the Automation Developer Professional training, you’ll receive a Diploma of Completion.
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Want to understand AI and process automation? How can these technologies transform businesses? The Automation Developer – Specialized AI Associate training is for you
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Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Azure AI Foundry Agent Service and Semantic Kernel Agent Framework.
By the end of this learning path, you will have the skills needed to develop AI agents on Azure.
As of 13th June, the AI-102 Develop AI Solutions in Azure course has been updated and restructured by combining together these five 1-day AI courses into a single, comprehensive learning experience:
- AI-3016: Develop generative AI apps in Azure
- AI-3026: Develop AI Agents on Azure
- AI-3002: Develop AI information extraction solutions in Azure
- AI-3003: Build a natural language processing solution with Azure AI Services
- AI-3004: Build an Azure AI Vision solution with Azure AI services
This update provides learners with a more cohesive and in-depth journey through key AI concepts and applications.
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The Implementing Cisco Enterprise Wireless Networks (ENWLSI) training helps you implement network settings to provide a secure wireless network infrastructure and troubleshoot any related issues. This training will prepare you to use Cisco Identity Service Engine (ISE), Cisco Prime Infrastructure (PI), Cisco DNA Center, Cisco Spaces, and Cisco Connected Mobile Experiences (CMX) to monitor and troubleshoot network issues.
The associated labs will reinforce concepts including deploying Cisco Catalyst 9800 Wireless Controller Release IOS XE Bengaluru 17.6.3, Cisco Digital Network Architecture (DNA) Center Release 2.3.3, Cisco PI Release 3.5, Cisco Spaces, Cisco CMX Release 10.5, features, and Cisco ISE Release 3.0.
This training prepares you for the 300-430 ENWLSI v1.1 exam. If passed, you earn the Cisco Certified Specialist – Enterprise Wireless Implementation certification and satisfy the concentration exam requirement for the Cisco Certified Network Professional (CCNP) Enterprise certification.
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Exam Readiness: AWS Certified Machine Learning Engineer – Associate (MLA-C01) is a one-day ILT where you learn how to assess your preparedness for the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam. The exam validates a candidate’s ability to build, operationalize, and maintain machine learning (ML) solutions and pipelines by using the AWS Cloud.
This intermediate-level course prepares you for the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam by providing a comprehensive exploration of the exam topics. You’ll delve into the key areas covered on the exam, understanding how they relate to developing AI and machine learning solutions on the AWS platform. Through detailed explanations and walkthroughs of examstyle questions, you’ll reinforce your knowledge, identify gaps in your understanding, and gain valuable strategies for tackling questions effectively. The course includes review of exam-style sample questions, to help you recognize incorrect responses and hone your test-taking abilities. By the end, you’ll have a firm grasp on the concepts and practical applications tested on the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam.
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Exam Readiness: AWS Certified AI Practitioner (AIF-C01) is a one-day ILT where you learn how to assess your preparedness for the AWS Certified AI Practitioner (AIF-C01) exam. The AWS Certified AI Practitioner (AIF-C01) exam validates in-demand knowledge of AI, machine learning (ML), and generative AI concepts and use cases.
This intermediate-level course prepares you for the AWS Certified AI Practitioner (AIF-C01) exam by providing a comprehensive exploration of the exam topics. You’ll delve into the key areas covered on the exam, understanding how they relate to developing AI and machine learning solutions on the AWS platform. Through detailed explanations and walkthroughs of exam-style questions, you’ll reinforce your knowledge, identify gaps in your understanding, and gain valuable strategies for tackling questions effectively.
The course includes review of exam-style sample questions, to help you recognize incorrect responses and hone your test-taking abilities. By the end, you’ll have a firm grasp on the concepts and practical applications tested on the AWS Certified AI Practitioner certification exam.
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In this one-day course, you will learn to maximize the benefits of generative AI systems, mastering techniques that lead to optimal output as well as learning entirely new ways to generate and refine documents and images! Learn and practice with hands-on labs that will greatly improve your ability to fully leverage the power of generative AI systems.
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Harness the power of data with modern machine learning tools and techniques. In this one-day course, you will gain hands-on experience with machine learning libraries and toolkits such as Pandas, NumPy, Seaborn and scikit-learn.
This course is lab heavy and provides hands-on experience with a variety of ML libraries and toolkits.
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Learn about Large Language Models (LLM) and how RAGs combine generative and retrieval-based AI models to extend the already powerful capabilities of LLMs. Get the knowledge you need about how a RAG works and how it’s assembled from component parts.
With our hands-on labs, you will develop a RAG using existing LLM and AI tools and apply RAG techniques to designs to solve problems.
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Start prototyping AI applications powered by PyTorch by leveraging popular pretrained models in the fields of Computer Vision and Natural Language Processing covering an extensive span of practical applications.
This course provides hands-on experience to train and fine-tune deep learning models using the rich PyTorch and Hugging Face ecosystems of pre-trained models for Computer Vision and Natural Language Processing tasks. Additionally, you will be able to deploy prototype applications using TorchServe, allowing you to quickly validate and demo your application.
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This course will teach you the skills to deploy software with confidence, agility and high reliability using modern practices such as Continuous Integration (CI) and Continuous Delivery (CD).
Moreover it will help you to be agile and deliver features rapidly, while at the same time being able to achieve non-functional requirements such as availability, reliability, scalability, security, and more.
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This course prepares you with real life professional skills to implement DevSecOps practices into the software development and delivery processes.
DevSecOps practices are an extension to standard DevOps practices, focusing on automating security and incorporating it as part of the process, which includes Continuous Delivery, Infrastructure-as-Code (IaC), and observability. Use of DevSecOps results not only in delivering safer code faster, but also facilitates early feedback to developers, helping them build more reliable software. This course explores implementing DevSecOps practices into the software delivery pipeline using open source software.
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Increase your earning potential by learning Jenkins, a key tool in CI/CD pipelines vital to today’s DevOps practices, enabling teams to deliver high-quality software quickly and efficiently.
With the skills to proficiently leverage Jenkins to scale CI/CD servers and configure multi-branch pipelines and the ability to automate and streamline workflows using IaC and GitOps principles you will be prepared to take on advanced DevOps, SRE and other software development leadership roles.
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Learn how GitOps could help you deploy to a Kubernetes environment with a simple pull request from git. Understand the key principles, practices, tools and benefits of using GitOps.
Start your GitOps journey with confidence. This course will give you foundational knowledge about key GitOps principles, tools and practices, helping you build an operational framework for cloud native applications primarily running on Kubernetes. This will eventually help you set up and automate your continuous delivery pipeline to Kubernetes, leading to increased productivity and efficiency for tech roles.
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Position yourself as an expert in automating complex cloud native environments with Jenkins X skills and open doors to new roles like DevOps Engineer, Lead Cloud Architect or Platform Engineer.
You’ll be prepared to expertly manage cloud native CI/CD workflows, lead DevOps automation efforts, and advance into high-demand senior or leadership cloud native roles.
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Master the art of automating Kubernetes deployments by implementing GitOps – the set of practices that enable developers to carry out tasks that traditionally fell to operations personnel – with Flux CD.
This course will give you in-depth knowledge on how to implement Flux CD and GitOps practices to set up a Continuous Delivery pipeline on your Kubernetes environments, and provide a sense of operational control via git-based workflows like branching models and pull requests.
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The Oracle WebLogic Server 14c: Administration I certification is a globally recognized qualification designed to validate an individual’s expertise in administering Oracle WebLogic Server solutions. It covers critical aspects such as creating WebLogic domains, deployments, and undertaking troubleshooting.
Gaining this certification verifies an individual’s aptitude in Oracle WebLogic Server’s core functionality and its application within enterprise environments. Many industries regard this certification highly as it helps in optimizing system performance, scalability, and reliability.
Thus, the certification is highly sought after by systems administrators, architects, and developers seeking to enhance their skills in leveraging Oracle WebLogic Server for building and deploying enterprise applications.
