Duration 1 Days 6 CPD hours This course is intended for The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. Prerequisites Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically: Experience using computers and the internet. Interest in use cases for AI applications and machine learning models. A willingness to learn through hands-on exp... 1 - Fundamental AI Concepts Understand machine learning Understand computer vision Understand natural language processing Understand document intelligence and knowledge mining Understand generative AI Challenges and risks with AI Understand Responsible AI 2 - Fundamentals of machine learning What is machine learning? Types of machine learning Regression Binary classification Multiclass classification Clustering Deep learning Azure Machine Learning 3 - Fundamentals of Azure AI services AI services on the Azure platform Create Azure AI service resources Use Azure AI services Understand authentication for Azure AI services 4 - Fundamentals of Computer Vision Images and image processing Machine learning for computer vision Azure AI Vision 5 - Fundamentals of Facial Recognition Understand Face analysis Get started with Face analysis on Azure 6 - Fundamentals of optical character recognition Get started with Vision Studio on Azure 7 - Fundamentals of Text Analysis with the Language Service Understand Text Analytics Get started with text analysis 8 - Fundamentals of question answering with the Language Service Understand question answering Get started with the Language service and Azure Bot Service 9 - Fundamentals of conversational language understanding Describe conversational language understanding Get started with conversational language understanding in Azure 10 - Fundamentals of Azure AI Speech Understand speech recognition and synthesis Get started with speech on Azure 11 - Fundamentals of Azure AI Document Intelligence Explore capabilities of document intelligence Get started with receipt analysis on Azure 12 - Fundamentals of Knowledge Mining with Azure Cognitive Search What is Azure Cognitive Search? Identify elements of a search solution Use a skillset to define an enrichment pipeline Understand indexes Use an indexer to build an index Persist enriched data in a knowledge store Create an index in the Azure portal Query data in an Azure Cognitive Search index 13 - Fundamentals of Generative AI What is generative AI? Large language models What is Azure OpenAI? What are copilots? Improve generative AI responses with prompt engineering 14 - Fundamentals of Azure OpenAI Service What is generative AI Describe Azure OpenAI How to use Azure OpenAI Understand OpenAI's natural language capabilities Understand OpenAI code generation capabilities Understand OpenAI's image generation capabilities Describe Azure OpenAI's access and responsible AI policies 15 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution Additional course details: Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals 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-900T00 - Microsoft Azure AI Fundamentals 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.
OpenStack for NFV and SDN course description OpenStack is predominately a cloud management technology. This course looks at how OpenStack can be used in a NFV and SDN environment. What will you learn Describe the architecture of NFV. Explain the relationship between NFV and SDN. Implement NFV VIM using OpenStack. Explain how OpenStack as VNFM and orchestrator works. OpenStack for NFV and SDN course details Who will benefit: Anyone wishing to implement NFV using OpenStack. Prerequisites: Introduction to Virtualization Duration 3 day OpenStack for NFV and SDN course content What is NFV? What is NFV? What are network Functions? NFV benefits, NFV market drivers. ETSI NFV framework. ETSI documents, Architecture overview, compute domain, hypervisor domain, infrastructure network domain. What is OpenStack? Virtual machines, clouds, management. OpenStack architecture, OpenStack modules. Why OpenStack for NFV? Hands on OpenStack installation. OpenStack Virtualization and NFV Server, storage and network virtualization and NFV. Where OpenStack fits in the ETSI framework. Virtual machines, containers and docker. Data centres, clouds, SaaS, IaaS, PaaS. Hands on OpenStack Iaas, OpenStack Nova. The virtualization layer VM centric model, containers versus hypervisors, FD.io. Hands on OpenStack as the VIM. OpenStack Neutron VXLAN, Networks, subnets, ports. Security groups. Routers. Service and component hierarchy. Hands on Implementing a virtual network with OpenStack Neutron. Virtualization of Network Functions Network virtualization versus Network Function virtualization. NFV MANO Management and Orchestration. Where OpenStack fits. MANO descriptors, Open orchestration. OpenStack Tacker, Open MANO, OpenBaton, other orchestrators. OpenStack Tacker Installation, getting started, configuration. SFC and OpenStack. Hands on Deploying a VNF. OPNFV What is OPNFV, Where OpenStack fits into OPNFV. SDN What is SDN? Control and data planes. SDN controllers. Classic SDN versus real SDN. Hybrid SDN, network automation, SDN with overlays. Northbound, southbound, SDN protocols, OpenFlow, OpenDaylight, ONOS, SDN with NFV. SDN and OpenStack. Summary Deploying NFV, performance, testing. Futures
DGA - Dangerous Goods Awareness Train
Learn how to create a supportive and open environment for mental health and wellbeing at work, helping everyone thrive and perform at their best.
Advanced RF training course description This course provides a follow on to our popular RF fundamentals course for those that need to know more. What will you learn Explain RF propagation Describe the importance of transmission lines in RF systems. Recognise the issues in RF systems. Describe transmission measurements. Advanced RF training course details Who will benefit: Those working with RF systems. Prerequisites: RF fundamentals. Duration 3 days Advanced RF training course contents RF propagation The Electromagnetic Spectrum, Electromagnetic Radiation, Spherical Wave Front, The Space Wave, Receive Antenna below the Horizon, Bending the Space Wave , Surface Wave Path, Tilting of Surface Wave, Conductivity, Layers of the Atmosphere, Variations of the Ionosphere, Variations caused by Solar Activity, Multi Hop Transmission, Classification of Radio Waves, Fading, Fading Reduction, Free Space Path Loss, Shadowing of Radio Wave, Signal Levels after Shadowing, Radio Waves as Wavelets, Fresnel Zone. Transmission Lines Transmission Line Construction, Primary Line Constants, 'T' Networks, Input Impedence, Lossless Unbalanced Line, Standing Waves, Open Circuit / Short Circuit Termination, Short Circuit Standing Waves, Open Circuit Standing Waves, Voltage Standing Wave Pattern, Short Circuit Termination, Open Circuit Termination, The Directional Coupler, Effect of E and M Coupling, Practical Reflectometer. Antenna Theory The Open Circuit Line, Dipole V/I Distribution, Polar Diagram, Power Pattern ½ Wave Dipole, Half Wave Dipole, Vehicle Mount, Centre Fed Whip Antenna, Antenna Beamwidth, The Yagi Array, Uda Yagi array, Antenna Characteristics, 6 Element Yagi Polar Diagram, Log Periodic Antenna, Helical Antenna. Microwave Dish Array, Typical Microwave Dish Antenna. Transmission Measurements Transmission Measurements, Effective Isotropic Radiated Power, Fade Margin. Noise Noise in Communications, Noise Voltage Equivalent Circuit. Satellite Communications Satellite Communications, Large Earth Station, The Satellite Payload, Geo Stationary Orbit, Basic Orbits, VSAT Terminal, Iridium Phone, The Space Segment, Satellite Footprint, Typical System Hardware. Mobile Communications Mobile Evolution, The Path to UMTS, Technologies Bit Rate and Mobility, Systems and Specifications, Wireless Networks, Diffraction, Multi Path Propagation, Loss Models, GSM Architecture, OSI Model - GSM, OSI Reference Model, OSI Layers.
This is an online course sat at your own pace to introduce you to clinical coaching. During the course we will go into the concept of training a student, learning methods, tutorial techniques, safeguarding and how to use the Central Skills Log (CSL). The course is open for 2 months. Once completed we can then arrange access to the CSL for one of Abbeydale’s students.
Ten live dialogues between Prof Ernesto Spinelli and International Existential Therapists followed by an Experiential Study Group. A phenomenological approach to re-view psychopathology: We aim to explore the lived experiences of irregular perceptions of reality with an open mind. Each Saturday includes a live dialogue between Prof Ernesto Spinelli and an International Existential Therapist; a moment to share your thoughts and feelings with the teachers; and a final integration facilitated by Bárbara Godoy. This series of ten Dialogues set out to explore the multifaceted dimentions and complexities associated with Existential Therapies. It attempts to engage with various interpretations of insanity through the lens of patients' often painful, confounding, and deeply unsettling life experiences. TIMES AND DATES 2025 25 Jan. “Knots” with Prof. Ernesto Spinelli 2 Feb. “Healing” with Dr. Michael Guy Thompson 22 Mar. “Difference” with Dr. Todd DuBose 12 Apr. “Polarization” with Prof. Kirk Schneider 3 May “Character” with Prof. Robert Romanyshyn 21 Jun. “Opening” with Dr. Yaqui Martinez 19 Jul. “Meaning” with Dr. Jan Resnick 25 Oct. “Invention” with Dr. Betty Cannon 15 Nov. “Hallucination” with Prof. Simon du Plock 13 Dec. “Hysteria” with Bárbara Godoy Full course (including dialogues): £1260 (2 pm to 5 pm – UK time) Only Dialogues: £630 (2 pm to 3 pm – UK time) Venue: Online Zoom Read the full Programme here > Course Organised by:
This workshop covers the five main types of payment for exports, from advance payment to open account. It includes the use of Bills of Exchange with and without documents
This interactive programme will use the topic of equity, diversity, and inclusion to illustrate the problem of unconscious bias and the practical solutions to overcome it. The programme will provide the opportunity for self-reflection, open discussion, and training on some of the softer skills to maximise objectivity in the workplace.