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Duration 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - 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 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - 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 30 - 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 31 - 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

SS7 training course description An Introduction to Signalling System No 7. Covering the terminology, technology and topology of the Core Signalling System. What will you learn Describe the evolution of SS7. Identify the component parts of SS7. Describe the basic method of operation of SS7. Describe a basic call set-up and clear within SS7. SS7 training course details Who will benefit: Network/Systems engineers Operators/Planners. Prerequisites: Telecommunications Introduction Duration 2 days SS7 training course contents Introduction Digital Signalling, CAS, CAS Applications, CCS, Layer 1, Layer 2 (HDLC), Layer 3, Evolution of SS7, Common SS7 functions. Physical Functionality SS7 Topology, Service Switching Point (SSP), Signalling Transfer Point (STP), Service Control Point (SCP), Database Types, CMSDB, NP, LIDB, HLR, VLR, Signalling Modes, Link Types, Further Redundancy, Linksets, Signalling Routes. Addressing Addressing in SS7, E.164, ANSI PCs, ITU-T (CCITT) PCs, Connecting Networks (ISPs/NSPs). Message Transfer Part SS7 Protocol Stack, MTP Level 1, MTP Level 2, Signalling Units, Flow Control, Fill In Signalling Unit (FISU), Link Status Signalling Unit (LSSU), Message Signalling Unit (MSU), MTP Level 3. Application and User Parts Signalling Connection Control Part (SCCP), Transaction Capabilities Application Part (TCAP), Telephone User Part, BTUP, ISDN User Part (ISUP), ISUP - Supplementary Services, ISUP - Call, Call Set-up over SS7. The Intelligent Network Function of IN, Evolution of IN, Conceptual Model, Target Services and Service Features, Independent Building Blocks.

DevOps training course description This course is an introduction to DevOps. The course emphasizes communication, collaboration , integration, and automation to improve the workflow between developers and IT operations professionals. Improved workflows lead to more opportunities to design software and services in a more agile fashion. This course is a basis for discovering the most important DevOps concepts and to understand the principles and methods behind this. The course will leave you with the inspiration to be the advocate of change. What will you learn Explain DevOps principles. Describe the relationship between Agile , Lean and IT Service Management ( ITSM). Describe methods for automation and technology factors. Describe considerations when changing. Describe challenges, risks and critical success factors. DevOps training course details Who will benefit: IT development, IT operations and IT service management. Prerequisites: Introduction to data communications & networking. Duration 2 days DevOps training course contents Why DevOps? Introduction DevOps Goals DevOps Added value of DevOps Proven Results DevOps for businesses DevOps principles (The Three Ways) DevOps and other frameworks DevOps and Agile DevOps and Lean DevOps and IT Service Management DevOps culture Characteristics of a DevOps culture Organizational Considerations DevOps DevOps stakeholders DevOps roles DevOps teams DevOps organizational structures DevOps methods Continuous Integration Continuous delivery Continuous deployment Value stream mapping Kanban Theory of Constraints Improvement Kata Deming's quality circle ITSM processes DevOps and Automation Methods for DevOps automation Longevity and tools categories DevOps applications Transitioning to a DevOps culture. Implementation Challenges, risks and critical success factors Measuring DevOps successes

About this Virtual instructor Led Training (VILT)  The Subsea Production Engineering Virtual instructor Led Training (VILT) course provides an overview of all of the functionalities and key interfaces of subsea equipment. The VILT course will refer to relevant industry engineering standards for subsea equipment, subsea tie-backs and critical operational requirements. The sessions will cover challenges associated with equipment design and installability, as well as a new module on subsea tie-backs. The primary learning objectives for this VILT course are met through a combination of interactive presentations, discussion and exercises. Training Objectives By the end of this VILT course, participants will be able to: Apply the requirements of related industry standards (API 6A/ 17D, API 17A etc.) engineering standards Understand the barrier and qualification requirements Identify the barriers in place given a specific mode of operation Evaluate and select which tree alternatives are valid based on the key design drivers Identify and describe the key design drivers Explain the importance of well kill rate Describe which tree alternatives are valid for certain scenarios based on an evaluation of the key tree design requirements Examine what effects subsurface requirements may have on tree design Understand the challenges associated with designing equipment for manufacturability and installability Recognise the implications of design changes to specific components and the effects on transportation and installation (such as what type of vessels, lifting equipment, and tools to use and the logistical requirements) Recognise the implication of design changes on manufacturability of subsea equipment Target Audience This VILT course provides a comprehensive understanding of the equipment used in subsea production systems. It is designed for petroleum engineers, production engineers, subsea project engineers and is also highly suitable for cost, planning, offshore installation and offshore operations engineers. Anyone directly or indirectly involved with subsea equipment will benefit from attending this VILT course - from engineers installing the equipment to procurement staff looking to understand more. Training Methods The VILT course will be delivered online in 4 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 4 half-day sessions, 4 hours per session (16 hours in total). Trainer Most of his working life, your expert course leader has been in a role that has enabled him to pass on skills and knowledge to others. A full-time role in Training and Development came about in 1996 with the offer to take up a full-time teaching post at Aberdeen College. In 1998, he was recruited by Kvaerner Oilfield Products, an Oil & Gas industry company, specialising in Subsea Control Systems, to develop and implement a Training & Competence program acceptable for its staff of over 600 and their client companies - a challenge he could not resist. In 2003, he broadened his horizons and became an independent Training & Development consultant. Building a reputation for delivering training and development to the Oil & Gas industry to the highest standards, he later joined Jee Ltd, a leading subsea engineering and training company based in Aberdeen. He was tasked with a wide portfolio of training, coaching & mentoring to achieve high levels of competence for the client's staff and customers. He is also a Science and Engineering Ambassador (Scotland), promoting the need for engineers and technicians for Scotland's industries, a frequent consultant to the European Economic & Social Committee for standardising Vocational Skills training and competence throughout the EU. He holds memberships in the Society of Operations Engineers, Chartered Institute of Personnel & Development and Society of Underwater Technologies. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

UNIX fundamentals training course description An introduction to using the UNIX operating system focussing on the command line. Appropriate for all versions of UNIX. The starting point for all UNIX work, we concentrate on the technical aspects rather than issues such as using browsers. The course is heavily practical in nature. What will you learn Describe UNIX. Log in and use UNIX commands to perform a variety of tasks from manipulating and printing files to looking at and killing processes. Create and edit files with vi. Recognise the role of the administrator. Write simple shell scripts. Customise the user environment. UNIX fundamentals training course details Who will benefit: Anybody who needs to use a UNIX system. Prerequisites: None. Duration 3 days UNIX fundamentals training course contents What is UNIX? Operating systems, UNIX flavours, UNIX features. Getting started Logging in, changing passwords, logging out. UNIX basics Command structure. The UNIX manuals, basic commands (who, date, tty, uname, echo, banner...) Filesystem commands Home directories, manipulating files and directories, Filesystem layout, Pathnames, hard and symbolic links. The UNIX Editors ed, vi, shell escapes, .exrc Extracting data from files grep, find, cut, sort and paste Permissions Theory, chmod, chown, newgrp.. Processes ps, kill, background processes, at, exec, priorities. The Shell Metacharacters, piping and redirection. Basic shell scripting What are shell scripts? Simple scripts, control structures. Variables. Arguments. Customising your environment Environmental variables, stty, .profile and other startup files More shell features Bash and other shells, the history facility, command line editing, aliases, job control, miscellaneous features. Introduction to administration The root user, su and tar Archiving files Backups, tar, cpio, dd, gzip. Unix and hardware Main hardware components, Unix device drivers. Connecting to a network IP configuration, ifconfig, ping, netstat, traceroute, dig.

Linux fundamentals training course description An introduction to using the Linux operating system with a focus on the command line. Appropriate for all versions of Linux. The starting point for all Linux work, we concentrate on the technical aspects rather than issues such as using browsers. The course is heavily practical in nature. The course can be run on any Linux distribution you wish. What will you learn Describe Linux. Log in and use Linux commands to perform a variety of tasks from manipulating and printing files to looking at and killing processes. Create and edit files with vi. Recognise the role of the administrator. Write simple shell scripts. Customise the user environment. Linux fundamentals training course details Who will benefit: Anybody who needs to use a Linux system. Prerequisites: None. Duration 3 days Linux fundamentals training course contents What is Linux? Operating systems, Linux flavours, Linux distributions, open source software. Getting started Logging in, changing passwords, logging out. Linux basics Command structure. The Linux manuals, basic commands (who, date, tty, uname, echo, banner...) Filesystem commands Home directories, manipulating files and directories, Filesystem layout, Pathnames, hard and symbolic links. Viewing files. The Linux editors ed, vi, shell escapes, .exrc Extracting data from files grep, find, cut, sort and paste... Permissions Theory, chmod, chown, newgrp.. Processes ps, kill, background processes, at, exec, priorities. Managing Linux log files. The Shell Metacharacters, piping and redirection. Basic shell scripting What are shell scripts? Simple scripts, control structures. Variables. Arguments. Customising your environment Environmental variables, stty, .profile and other startup files More shell features Bash and other shells, the history facility, command line editing, aliases, job control, miscellaneous features. Introduction to administration The root user, su. Managing users and groups Archiving files Backups, tar, cpio, dd, gzip. Linux and hardware Main hardware components, Linux device drivers. Connecting to a network IP configuration, ifconfig, ping, netstat, traceroute, dig.

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Acquire in-depth knowledge of heat exchanger design and cost-saving management with EnergyEdge's TEM & HTRI course. Join our virtual instructor-led training to stay ahead in the industry.

About this Virtual Instructor Led Training (VILT) This Virtual Instructor Led Training (VILT) course presents advanced methodologies that implement demand response and energy conservation programs in light of the integration of new technologies, regulatory changes and the accelerated penetration of renewable energy resources. This VILT course provides examples and case studies from North American and European jurisdictions covering the operational flexibilities on the demand side including requirements for new building codes to achieve zero net energy. The course describes a public agency's goals and objectives for conserving and otherwise reducing energy consumption and managing its demand for energy. This course presents the demand response implemented for economics and system security such as system balancing and relieving transmission congestion, or for system adequacy. The course also presents the principal attributes of conservation programs and the associated success criteria. In a system with increased penetration of renewable resources, demand response provides flexibility to system operators, helping them to maintain the reliability and the security of supply. Demand response is presented as a competitive alternative to additional power sources, enhancing competition and liquidity in electricity markets. The unique characteristics are discussed from a local, consumer centric and also from a system perspective bringing to life the ever changing paradigm for delivery energy to customers. Interoperability aspects and standards are discussed, as well as the consumer centric paradigm of Transactive Energy with IOT enabled flexibilities at system level, distribution networks and microgrids. The VILT course introduces the blockchain as a new line of defense against cyber threats and its increasing application in P2P transactions and renewable certificates. Our trainer's industry experience spans three decades with one of the largest Canadian utilities where she led or contributed to large operational studies and energy policies and decades of work with IEEE, NSERC and CIGRE. Our key expert also approaches to the cross sectional, interdisciplinary state of the art methodologies brings real life experience of recent industry developments. Training Objectives Innovative Digital Technologies How systems Facilitate Operational Flexibility on the Demand Side The Ecosystem of Demand Side Management Programs Advanced Machine Learning techniques with examples from CAISO Regulatory Policy Context and how to reduce regulatory barriers Industry Examples from NERC and ENTSO Relevant Industry standards: IEEE and IEC Manage Congestion with Distributed Operational Flexibilities: Grid to Distribution Controls; examples from NERC (NA) and ENTSO (Europe) Grid solutions with IEC 61850 communication protocols Decentralized grid controls The New Grid with accelerated V2G and Microgrids How DSM is and will be applied in Your System: Examples and discussions Target Audience Regulators and government agencies advising on public energy conservation programs All professionals interested in expanding their expertise, or advancing their career, or take on management and leadership roles in the rapidly evolving energy sector Energy professionals implementing demand side management, particularly in power systems with increased renewable penetration, to allow the much needed operational flexibility paramount to maintaining the reliability and stability of the power system and in the same time offering all classes of customers flexible and economical choices Any utility professional interested in understanding the new developments in the power industry Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations