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15266 AI courses

Generative AI Art Generation - Mastering All the AI Tools

By Packt

Embark on an AI image generation journey with a comprehensive course on Midjourney, DALL-E, Leonardo, Stable Diffusion, Automatic1111, RunwayML, Adobe Firefly, BlueWillow, and more. Requirements: Computer with internet access, and a Discord account for tools like Midjourney.

Generative AI Art Generation - Mastering All the AI Tools
Delivered Online On Demand17 hours 55 minutes
£82.99

Hillhead Youth Theatre Autumn Term

By Halo Arts

Hillhead Youth Theatre, West End Youth Theatre, Drama Groups Glasgow, Glasgow Youth Theatre

Hillhead Youth Theatre Autumn Term
Delivered In-Person in Glasgow + more
£89

AI-050T00 Develop Generative AI Solutions with Azure OpenAI Service

By Nexus Human

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.

AI-050T00 Develop Generative AI Solutions with Azure OpenAI Service
Delivered OnlineFlexible Dates
£595

DevOps Foundation©

By Nexus Human

Duration 2 Days 12 CPD hours This course is intended for The target audience for the DevOps Foundation course includes Management, Operations, Developers, QA and Testing professionals such as: Individuals involved in IT development IT operations or IT service management. Individuals who require an understanding of DevOps principles. IT professionals working within, or about to enter, an Agile Service Design Environment The following IT roles: Automation Architects, Application Developers, Business Analysts, Business Managers, Business Stakeholders, Change Agents, Consultants, DevOps Consultants, DevOps Engineers, Infrastructure Architect, Integration Specialists, IT Directors, IT Managers, IT Operations, IT Team Leaders, Lean Coaches, Network Administrators, Operations Managers, Project Managers, Release Engineers, Software Developers, Software Tester/QA, System Administrators, Systems Engineers, System Integrators, Tool Providers. Overview The learning objectives for DevOps Foundation include an understanding of: DevOps objectives and vocabulary Benefits to the business and IT Principles and practices including Continuous Integration, Continuous Delivery, testing, security and the Three Ways DevOps relationship to Agile, Lean and ITSM Improved workflows, communication and feedback loops Automation practices including deployment pipelines and DevOps toolchains Scaling DevOps for the enterprise Critical success factors and key performance indicators Real-life examples and results The DevOps Foundation course provides a baseline understanding of key DevOps terminology to ensure everyone is talking the same language and highlights the benefits of DevOps to support organizational success. Learners will gain an understanding of DevOps, the cultural and professional movement that stresses communication, collaboration, integration, and automation to improve the flow of work between software developers and IT operations professionals. This course prepares you for the DevOps Foundation (DOFD) certification. Exploring DevOps Defining DevOps Why Does DevOps Matter? Core DevOps Principles The Three Ways The First Way The Theory of Constraints The Second Way The Third Way Chaos Engineering Learning Organizations Key DevOps Practices Continuous Testing, Integration, Delivery, Deployment Site Reliability & Resilience Engineering DevSecOps ChatOps Kanban Business and Technology Frameworks Agile ITSM Lean Safety Culture Learning Organizations Continuous Funding Culture, Behaviors & Operating Models Defining Culture Cultural Debt Behavioral Models Organizational maturity models Automation & Architecting DevOps Toolchains CI/CD Cloud, Containers, and Microservices AI and Machine Learning Automation DevOps Toolchains Measurement, Metrics, and Reporting The Importance of Measurement DevOps Metrics - Speed, Quality, Stability, Culture Change lead/cycle time Value Driven Metrics Sharing, Shadowing and Evolving DevOps in the Enterprise Roles DevOps Leadership Organizational Considerations Getting Started Challenges, Risks, and Critical Success Factors Additional course details: Nexus Humans DevOps Foundation (DevOps Institute) 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 DevOps Foundation (DevOps Institute) 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.

DevOps Foundation©
Delivered Online
£1,495

AI (Artificial Intelligence) Developer Training

By Compliance Central

All in One Bundle Special Discount Offer Are you looking to enhance your AI (Artificial Intelligence) Developer Training skills? If yes, then you have come to the right place. Our comprehensive courses on AI (Artificial Intelligence) Developer Training will assist you in producing the best possible outcome by learning the AI (Artificial Intelligence) Developer Training skills. Get 6 CPD Accredited Courses for only £41 with 6 Free PDF Certificates worth £24! Course 01: Industry 4.0 - Automation & Applications Course 02: Intermediate Python Coding Course 03: C# Programming - Beginner to Advanced Course 04: HTML and CSS Coding for Beginners and Kids Course 05: JavaScript Functions Course 06: Graph Theory Algorithms The AI (Artificial Intelligence) Developer Training bundle is for those who want to be successful. In the AI (Artificial Intelligence) Developer Training bundle, you will learn the essential knowledge needed to become well versed in AI (Artificial Intelligence) Developer Training. Our AI (Artificial Intelligence) Developer Training bundle starts with the basics of AI (Artificial Intelligence) Developer Training and gradually progresses towards advanced topics. Therefore, each lesson of this AI (Artificial Intelligence) Developer Training is intuitive and easy to understand. Why would you choose the AI (Artificial Intelligence) Developer Training course from Compliance Central: Lifetime access to AI (Artificial Intelligence) Developer Training courses materials Full tutor support is available from Monday to Friday with the AI (Artificial Intelligence) Developer Training course Learn AI (Artificial Intelligence) Developer Training skills at your own pace from the comfort of your home Gain a complete understanding of AI (Artificial Intelligence) Developer Training course Accessible, informative AI (Artificial Intelligence) Developer Training learning modules designed by expert instructors Get 24/7 help or advice from our email and live chat teams with the AI (Artificial Intelligence) Developer Training bundle Study AI (Artificial Intelligence) Developer Training in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your AI (Artificial Intelligence) Developer Training Course Improve your chance of gaining in demand skills and better earning potential by completing the AI (Artificial Intelligence) Developer Training Curriculum Breakdown of the AI (Artificial Intelligence) Developer Training Curriculum Breakdown of Industry 4.0 - Automation & Applications Module 1: Industry 4.0- The Fourth Industrial Module 2: Classification of Automation Module 3: Types of Control Systems Module 4: Ethical Dilemma of Automation Module 5: Robotics & AI - A debatable topic Module 6: Definition of a Robot Module 7: Laws of Robotics Module 8: Components of a Robot Module 9: Robot Classification Module 10: Degree of Freedom Module 11: Robot Configuration Module 12: White Collar Robots Module 13: Numerical Control of Machines Tools Module 14: CNC- Computer Numerical Control Syst. Module 15: Components of CNC System Module 16: Point to Point CNC Module 17: Incremental & Absolute CNC Machines Module 18: Open & Close Control Loop Machines Module 19: 2 & 3 Axes CNC Machines Module 20: Importance of Higher Axes Machining Module 21: Cartesian Coordinate System Module 22: Programming Format Module 23: A Simple Coding Exercise Module 24: Applications of CNCs Module 25: General Explanation of 3D Printing Module 26: 3D Printing Procedure Module 27: SLA Module 28: DLP Module 29: Laser Sintering Module 30: FDM Module 31: Inkjet- Binder Jetting Module 32: Inkjet- Material Jetting Module 33: SDL Module 34: EBM Module 35: 3D Printing Material Module 36: 3D Printing Applications CPD 65 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The AI (Artificial Intelligence) Developer Training bundle helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in AI (Artificial Intelligence) Developer Training. It is also great for professionals who are already working in AI (Artificial Intelligence) Developer Training and want to get promoted at work. Requirements To enrol in this AI (Artificial Intelligence) Developer Training course, all you need is a basic understanding of the English Language and an internet connection. Career path The AI (Artificial Intelligence) Developer Training bundle will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to AI (Artificial Intelligence) Developer Training. Certificates CPD Accredited Certificate of completion Free Digital certificate - Included 6 CPD Accredited PDF Certificate for Free CPD accredited hard copy certificates are available for Hard copy certificate - £9.99 Delivery Charge for Each Hard Copy Certificates: Inside the UK: £3.99 each Outside of the UK: £9.99 each

AI (Artificial Intelligence) Developer Training
Delivered Online On Demand42 hours
£41

AI (Artificial Intelligence) for Business Leaders

5.0(1)

By Empower UK Employment Training

Ai (Artificial Intelligence) for Business Leaders Recognize the challenges and limitations of Generative AI, and gain insight into the future outlook of AI in business strategy. Equip yourself with the essential skills and knowledge needed to lead in an AI-driven business landscape. Learning Outcomes: Explain the fundamentals of Artificial Intelligence for business. Analyze the strategic impact of AI on business models. Evaluate the business implications of Generative AI. Assess the challenges and limitations of Generative AI. Predict the future role of AI in business strategy. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Ai (Artificial Intelligence) for Business Leaders Course Syllabus Ai (Artificial Intelligence) for Business: Gain a comprehensive understanding of AI and its significance in the business landscape, equipping you with the foundational knowledge to lead AI-driven initiatives. Strategic Impact of Ai (Artificial Intelligence) on Business: Explore how AI strategically impacts different business models, enabling you to identify opportunities for innovation and growth. Implications of Generative Ai (Artificial Intelligence): Delve into the applications and implications of Generative AI within business contexts, fostering the ability to harness its creative potential. Challenges of Ai (Artificial Intelligence): Understand the challenges and limitations associated with Generative AI, allowing you to make informed decisions and mitigate potential risks. Ai (Artificial Intelligence) in Business Strategy: Anticipate the future landscape of AI in business strategy, enabling you to proactively adapt and lead in an AI-driven environment. Leaders in Ai (Artificial Intelligence)-Driven Business: Develop the essential skills and knowledge required to lead AI-driven initiatives effectively, ensuring your leadership in the AI era is both informed and visionary.

AI (Artificial Intelligence) for Business Leaders
Delivered Online On Demand1 hour 30 minutes
£5

How AI Can Support Your Organisation - BCS Foundation Award

5.0(12)

By Duco Digital Training

Thinking about learning more about how Artificial Intelligence can help in a business? The BCS Foundation Award - How AI Can Support Your Organisation explores the evolution of AI from its inception to present day, and identify potential future AI opportunities which exist to drive organisational strategy at all levels. It considers how AI can make improvements to processes, products and services, enabling an organisation to gain a competitive edge within the market, and the benefits and potential implications it has for the human workforce. You will learn the evolution of AI, an understanding of the shape and structure of organisations, an understanding of the role of AI in an organisation and an understanding of the art of the possible.

How AI Can Support Your Organisation - BCS Foundation Award
Delivered Online On Demand3 days
£325

ChatGPT for Marketing Content and Productivity with AI Tools

4.5(3)

By Studyhub UK

This ChatGPT for Marketing and Productivity with AI Tools course is your guide to using AI to boost your marketing results. Boost your marketing skills and productivity to the next level with our comprehensive ChatGPT for Marketing and Productivity with AI Tools course. Dive deep into the world of Artificial Intelligence (AI), its applications, and how it can revolutionise the way you work. This course is meticulously designed to empower marketing professionals, content creators, entrepreneurs, and anyone intrigued by the power of AI.  It's a blend of theoretical understanding, practical exposure, and foresight into the future of AI, particularly in the field of marketing and productivity. In Section 01, we unpack the 'AI Marketing Playbook'. Starting with an introduction to OpenAI's ChatGPT, its possibilities, and its limitations, you'll gain a fundamental understanding of AI capabilities. Following this, delve into practical aspects of using ChatGPT, from generating innovative ideas and content to cross-posting queries and simplifying complex information. Our experts will also guide you on how to leverage AI for business problem-solving and developing methodologies, wrapping up with insights on the future of ChatGPT. In Section 02 get teaching on how to use ChatGPT and other AI tools for effective marketing. Learn to work with Autonomous AI Agents and a variety of AI tools such as Durable, Eightify, Genei, and Ellicit, to name a few. By the end of this section, you'll be equipped with the skills to carry out high-quality research, build AI-based websites, determine research credibility, and clone voices. You'll also get an interesting perspective on the future of AI. Finally, Section 03 is all about enhancing your productivity with ChatGPT and AI tools. From meta-search sites to speech-to-text services, AI design tools, content improvement techniques, and more, this section aims to streamline your work processes. Learn to use tools like Microsoft Bing Search, Google Bard, Speechify, and Adobe for audio enhancements. Wrap up this course with an exploration of generative AI and a glance into the future of this exciting field. Whether you're a beginner or an experienced professional, this course promises to expand your horizons and make you proficient in harnessing AI's power for marketing and productivity. Unleash the potential of AI and transform your work efficiency with this ChatGPT for Marketing and Productivity with AI Tools course. Enrol today and start your AI journey with us! Learning Outcomes Upon completion of the ChatGPT for Marketing course, you will be able to: Understand the fundamentals of OpenAI's ChatGPT and its capabilities. Generate and qualify ideas effectively using ChatGPT. Learn to apply ChatGPT for solving specific business problems. Develop skills to connect with various Autonomous AI Agents. Learn to use AI tools for enhanced research and content creation. Understand how to determine research credibility using AI. Gain proficiency in utilising AI for website creation and voice cloning. Develop skills to leverage AI tools for improved productivity. Understand the future scope of generative AI in marketing. Master the use of various AI design and content improvement tools. Who is this course for? This ChatGPT for Marketing course is ideal for: Marketing professionals seeking to leverage AI in their strategies. Content creators interested in AI-powered idea generation and curation. Business owners looking to integrate AI into their operational processes. Individuals interested in exploring AI applications in marketing and productivity. Any tech enthusiast keen on understanding and applying AI tools. Career Path Our ChatGPT for Marketing course will help you to pursue a range of career paths, such as: AI Marketing Specialist: £45,000 - £70,000 Content Strategist: £35,000 - £55,000 Business Intelligence Analyst: £40,000 - £65,000 Productivity Consultant: £45,000 - £75,000 AI Research Analyst: £50,000 - £80,000 AI Application Developer: £55,000 - £90,000 Digital Transformation Consultant: £60,000 - £100,000 AI Solutions Architect: £65,000 - £110,000 Prerequisites This Photoshop Training for Beginners does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Photoshop Training for Beginners was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials of the Photoshop Training for Beginners there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Course Curriculum Section 01: The AI Marketing Playbook Unit 01: Start an Account with ChatGPT 00:02:00 Unit 02: What the Company OpenAI Say About Itself 00:02:00 Unit 03: What OpenAI Say About The Limitations of the Chatbot 00:02:00 Unit 04: Chatbot Prompt Examples Given By Open AI 00:02:00 Unit 05: Will Chat GPT Be a Paid Application 00:01:00 Unit 06: Chat GPT Idea Generation 00:02:00 Unit 07: Chat GPT - Idea Qualification and Accuracy 00:03:00 Unit 08: ChatGPT - Accuracy and Citations 00:02:00 Unit 09: Chat GPT - Creating HTML Instances 00:01:00 Unit 10: Chat GPT - How to Solve Specific Business Problems 00:02:00 Unit 11: Chat GPT - Statistical Verification of Information 00:01:00 Unit 12: Chat GPT - Rewrite Content for Different Contexts 00:02:00 Unit 13: ChatGPT - Content Checked With AI 00:02:00 Unit 14: ChatGPT - Simplifying Information 00:01:00 Unit 15: ChatGPT - How to Ask the Chatbot about Context 00:01:00 Unit 16: ChatGPT - How to Cross-Post Queries 00:01:00 Unit 17: ChatGPT - How to Narrow Down the Context of Your Query 00:02:00 Unit 18: ChatGPT - How to Solve a Business Process 00:02:00 Unit 19: ChatGPT - Developing a Methodology From Experts 00:01:00 Unit 20: The Future of ChatGPT 00:01:00 Section 02: How to Use ChatGPT and AI for Marketing Unit 01: Autonous AI Agents 00:01:00 Unit 02: Connecting to Open AI 00:01:00 Unit 03: Getting an OpenAI Key 00:01:00 Unit 04: Agent GPT - Autonomous AI 00:02:00 Unit 05: GoalGPT - Autonomous Agents 00:01:00 Unit 06: Cognosis - Autonomous AI 00:02:00 Unit 07: Aomni - Autonomous Agent 00:01:00 Unit 08: Durable - Build a Website with AI 00:01:00 Unit 09: Eightify Summaries 00:02:00 Unit 10: Genei - Do Higher Quality Research with AI 00:01:00 Unit 11: Ellicit - Do Higher Quality Research with AI 00:01:00 Unit 12: Inciteful - Do Higher Quality Research with AI 00:02:00 Unit 13: SciteAI Determine the Credibility of Your Research 00:01:00 Unit 14: Eleven Labs - Voice Cloning 00:02:00 Unit 15: AgentGPT - Wrap Up and Return 00:01:00 Unit 16: Cognosys - Wrap Up and Return 00:01:00 Unit 17: Aomni - Wrap Up and Return 00:01:00 Unit 18: Goal GPT - Wrap Up and Return 00:01:00 Unit 19: Uploading Research Reports to Summarization Applications 00:01:00 Unit 20: Perspective on The Future of AI 00:01:00 Section 03: Productivity with AI Tools Unit 01: Meta Search Sites 00:02:00 Unit 02: SMMRY for Summarzing 00:01:00 Unit 03: ChatGPT Plugins Waitlist 00:01:00 Unit 04: Using Microsoft Bing Search 00:02:00 Unit 05: Using Google Bard 00:01:00 Unit 06: Microsoft Word Speech To Text 00:01:00 Unit 07: Transcribe Audio in Microsoft Word 00:02:00 Unit 08: Speechify 00:02:00 Unit 09: Exact Image Creation 00:01:00 Unit 10: AI Design Tools 00:02:00 Unit 11: Learn How to Prompt 00:01:00 Unit 12: Content Improvement 00:01:00 Unit 13: Idea Generation 00:01:00 Unit 14: Audio Enhancement with Adobe 00:02:00 Unit 15: Clean up Audio With Cleaanvoice 00:01:00 Unit 16: Notion-AI 00:01:00 Unit 17: Pictory 00:01:00 Unit 18: Lex 00:01:00 Unit 19: ChatPDF 00:01:00 Unit 20: Conclusion and the Future of Generatie AI - Searchie 00:01:00

ChatGPT for Marketing Content and Productivity with AI Tools
Delivered Online On Demand1 hour 24 minutes
£10.99

Implementing AI in Software Testing | AI in Test Automation (TTAI2140)

By Nexus Human

Duration 2 Days 12 CPD hours This course is intended for This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise. While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos. Overview This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, students will explore: Exploring AI Introduction to Machine Learning Introduction to Deep Learning Introduction to Data Science Artificial Intelligence (AI) in Software Testing Implementing AI in Test Automation Innovative AI Test Automation Tools for the Future Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements. Exploring AI AI-Initiatives The Priority: Excellence AI- Intelligence Types The Machine Learning Types The Quality Learning Initiative The Inception in Academics AI - Importance & Applications The Re-visit Learning Re-visited via AI Teaching in the world of AI Exploring AI for Self-Development AI In Academics Beyond Academics Introduction to Machine Learning What is Machine Learning? Why Machine Learning? Examples - Algorithms behind Machine Learning Introduction to Deep Learning What is Deep Learning? Why Deep Learning? Example - Deep Learning Vs Machine Learning Introduction to Data Science What is Data Science? Why Data Science? Examples - Use Cases of Data Science Artificial Intelligence (AI) in Software Testing What is AI in Software Testing? The Role of AI Testing Why do we Need AI in Software Testing? Pros and Cons of AI in Software Testing Applications of AI in Software Testing Is it time for Testers or QA Teams to worry about AI? Automated Testing with Artificial Intelligence Implementing AI in Test Automation Training the AI Bots Challenges with AI-powered Applications Examples - Real World use cases using Artificial Intelligence Demo - Facial Emotion Detection Using Artificial Intelligence Demo - Text Analysis API Using Artificial Intelligence Demo - EYE SPY Mobile App Using Artificial Intelligence Innovative AI Test Automation Tools for the Future Tools used for Implementing AI in Automation Testing What is NEXT? AI Test Automation Demo using Testim

Implementing AI in Software Testing | AI in Test Automation (TTAI2140)
Delivered OnlineFlexible Dates
Price on Enquiry

Certified Data Centre Professional (CDCP)

By Nexus Human

Duration 2 Days 12 CPD hours This course is intended for The primary audience for this course is any IT, facilities or data centre professional who works in and around the data centre and who has the responsibility to achieve and improve the availability and manageability of the data centre. Overview After completion of the course the participant will be able to:? Choose an optimum site for mission-critical data centre based on current and future needs? Describe all components that are important for high availability in a data centre and how to effectively setup the data centre? Name and apply the various industry standards? Describe the various technologies for UPS, fire suppression, cooling, monitoring systems, cabling standards, etc, and to select and apply them effectively to cost-efficiently enhance the high-availability of the data centre.? Review the electrical distribution system to avoid costly downtime? Enhance cooling capabilities and efficiency in the data centre by using existing and new techniques and technologies for the increased cooling requirements of the future? Design a highly reliable and scalable network architecture and learn how to ensure installers apply proper testing techniques? Create effective maintenance contracts with equipment suppliers ensuring the best return on investment? Setup effective data centre monitoring ensuring the right people get the right message? Ensure proper security measures, both procedural and technical, are established to safeguard your company's valuable information in the data centre The course will address how to setup and improve key aspects such as power, cooling, security, cabling, safety, etc., to ensure a high available data centre. It will also address key operations and maintenance aspects. The Data Centre, it?s Importance and Causes for DowntimeData Centre Standards and Best PracticesData Centre Location, Building and Construction Selecting appropriate sites and buildings and how to avoid pitfalls Various components of an effective data centre and supporting facilities setup Raised Floor/Suspended Ceiling Uniform, concentrated and rolling load definitions Applicable standards Raised Floor guidelines Signal Reference Grid, grounding of racks Disability act and regulations Suspended ceiling usage and requirements Light Standards Light fixture types and placement Emergency lighting, Emergency Power Supply (EPS) Power Infrastructure Power infrastructure layout from generation to rack level ATS and STS systems Redundancy levels and techniques Three-phase and single-phase usage Power distribution options within the computer room Power cabling versus bus bar trunking Bonding versus grounding Common Mode Noise and isolation transformers Distribution boards, form factors and IP-protection grades Power quality guidelines Real power versus apparent power How to size and calculate load in the data centre Generators Static and dynamic UPS systems, selection criteria, how they operate and energy efficiency option Battery types, correct selection and testing Thermo-graphics Electro Magnetic Fields Electrical fields and magnetic fields definitions and units of measurements Sources of EMF Effects of EMF on human health and equipment (H)EMP Standards EMF shielding solutions Equipment Racks Rack standards, properties and selection criteria Security considerations Power rail/strip options Cooling Infrastructure Temperature and humidity recommendations Cooling measurement units and conversion rates Sensible and latent heat definitions Differences between comfort and precision cooling Overview of different air conditioner technologies Raised floor versus non-raised floor cooling Placement of air conditioner units and limitations to be observed Supplemental cooling options Cold aisle/hot aisle containment Water Supply Importance of water supply and application areas Backup water supply techniques Designing a Scalable Network Infrastructure The importance of a Structured Cabling System Planning considerations Copper and Fiber cable technology and standards ANSI/TIA-942 Cabling hierarchy and recommendations Testing and verification SAN storage cabling Network redundancy Building-to-building connectivity Network monitoring system requirements Fire Suppression Standards for fire suppression Detection systems Various total flooding fire suppression techniques and systems, their benefits and disadvantages Handheld extinguishers Signage and safety Regulatory requirements and best practices Data Centre Monitoring Data centre monitoring requirements EMS versus BMS Water leak detection systems Notification options and considerations Operational Security and Safety Practices Data centre security layers Physical, infrastructure and organisational security Safety measures and essential signage Labelling Choosing a labelling scheme Recommended labelling practices Network labelling Documentation How to setup proper documentation Document management policies and procedures Cleaning Cleaning practices for the data centre MTBF/MTTR Standards and definitions Calculation models The ?real? value Maintenance Contracts/SLA/OLAEXAM: Certified Data Centre Professional Additional course details: Nexus Humans Certified Data Centre Professional (CDCP) 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 Certified Data Centre Professional (CDCP) 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.

Certified Data Centre Professional (CDCP)
Delivered Online
£1,500