Maximize the value of data assets in the oil and gas sector with EnergyEdge's assessment-based training course on Python programming and analytics.
Agile for Non-IT Practitioners - How Agile Project Management is Different and How It Can be Used for Non-IT Projects (On-Demand) As a Project Management Institute (PMI)®Registered Education Provider (R.E.P.), IIL has agreed to abide by PMI®-established quality assurance criteria. In today's world of fast paced technology, continually changing requirements and project scope, the need for Agile Project Management has greatly increased. Responding to this demand, the Project Management Institute (PMI®) launched the PMI Agile Certified Practitioner (PMI-ACP)®certification. A result of this certification is the creation of a new space where Project Management and Agile Practices for Software Development meet. The foundation of Agile is the Agile Manifesto for Software Development. Agile has been used for software development for a number of years, even prior to the creation of the Agile Manifesto in 2001. The success of Agile for software development projects has piqued interest in successfully employing Agile in many other fields. How can Agile practices be used for projects which are not software or IT in nature? This course will provide guidance on how Agile can be used beyond software development projects, including how it differs from traditional project management. The course also will provide an overview of the Agile Scrum framework, which is one of the most popular Agile methodologies used. This course provides practical skills, concepts, and principles you can take back to the job and use to implement Agile practices in projects, as applicable. The goal of this course is to acquaint participants with the concepts of agile development methods and the specifics of the Scrum management framework. At the end of this course, participants will understand: Agile Practices - what makes Agile projects 'agile' Scrum and how Scrum applies to the Agile Practices Specific Agile practices which you can use to improve the execution of your projects Practices which can be used in conjunction with Scrum for Non-IT projects Course goal and objectives Importance of Agile development and project management What Agile is and is not Faster, better, cheaper Delivers better fit for purpose Agile versus Waterfall and the big paradigm shift Agile characteristics, behaviors, approaches Agile concerns and pitfalls Introducing Agile Overview of Agile Agile values and principles Overview of Scrum Scrum methodology Scrum terminology Scrum Framework Scrum roles Scrum meetings Sprints Requirements and Product Definition User stories Product backlog Planning Agile Estimating in Scrum Sprint planning session Release planning Agile Practices Agile development Analysis practices Validation practices Other practices Running a Sprint Conducting a Sprint Negotiating changes Tracking progress End of Spring meetings Release planning Closing the project
With the help of this course, you will be able to master the Linux commands and be able to access your computer files and directories without using the keyboard or mouse. You will also explore Bash scripting and develop the necessary skills that will help you in ethical hacking.
Swagger is one of the most popular tools used in API development as it has simplified the process of API design, documentation, and testing. Level up your API development skills by adding Swagger to your skillset. This course will provide significant knowledge on understanding and using Swagger tools. Gain the confidence to instantly apply Swagger Tools tips covered in the course in your next OpenAPI project.
Computer Networking Online Virtual Classroom course is designed to enable participants to install, configure and test a fundamental computer network. The opportunities for employment within the area of network support are enormous as businesses continue to grow and utilise the new technology available to them. This is a vital role to ensure the smooth running of businesses reliant on their network and IT systems. This course provides learners with both the practical and theoretical knowledge of networks. During the course, participants will learn about the different components used to create a network including hardware, software and topologie
Learn and master Excel 2019 by learning advanced functions and formulas
Learn GitHub Actions in a weekend! This course covers all the important concepts to help you master GitHub Actions and its practical applications. Gain in-demand skills, design a CI/CD pipeline, and deploy infra as code with GitHub Actions. Boost your career with this essential skill for DevOps practices.
Duration 1 Days 6 CPD hours This course is intended for The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions. Note Generative AI is a fast-evolving field of artificial intelligence, and the Azure OpenAI service is subject to frequent changes. The course materials are maintained to reflect the latest version of the service at the time of writing. Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications. Prerequisites Familiarity with Azure and the Azure portal. Experience programming with C# or Python. 1 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 2 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 3 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 4 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 5 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 6 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data Additional course details: Nexus Humans AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
This course will help you become familiar with the process of building web applications in Python. From understanding Python fundamentals, to studying the database structure to building, and deploying applications, you will learn it all with the help of interesting activities