2788 Intelligence courses delivered Online

A personalised resilience profile and 60 minute coaching and exploration session for those who want to develop their capacity to adapt positively in an ever changing world.

Having a controlled mind, emotional intelligence and empathy are equally useful for both personal and professional development. The

Artificial intelligence & Javascript 2D Game Development - MinMax algorithm - "Computer vs You" Tic Tac Toe AI game

The course investigates unconscious bias to develop your awareness. Training in unconscious bias will not mean that you will not have biases. They will remain, by definition, unconscious. The course seeks to build your awareness of their existence and highlights when to look out for them.

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

Overview This comprehensive course on Business Intelligence Analyst Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Business Intelligence Analyst Course comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Business Intelligence Analyst Course. It is available to all students, of all academic backgrounds. Requirements Our Business Intelligence Analyst Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 8 sections • 8 lectures • 05:21:00 total length •An Introduction to Business Intelligence: 00:46:00 •Real-time Business Intelligence: 00:35:00 •Fundamentals of Statistics and Data Science: 00:50:00 •Fundamentals of SQL: 00:40:00 •Database Management Essentials: 00:50:00 •Data Warehouse Concepts: 00:38:00 •Data Visualisation in Business Intelligence: 00:35:00 •Basics of Python: 00:27:00

This course is about proactively working together with others in ways that will help you to communicate more efficiently as you engage with each other to bring value to your company and your customers. In addition, the skills, processes and tools taught in this course can bring value to other aspects of your life.

This highly practical and unique course will take you through a defined process to help make your recruitment as efficient and as effective as possible. Ways of identifying the behavioural competencies required to be successful in the role are explored so that you can draw up accurate job descriptions and profiles to define your ideal candidate. The course then investigates through online and offline options for attracting and sourcing candidates.

Course Description Get instant knowledge from this bite-sized Criminal Intelligence Analyst Part - 2 course. This course is very short and you can complete it within a very short time. In this Criminal Intelligence Analyst Part - 2 course you will get fundamental ideas of criminal intelligence, the key understanding of decision making in criminal intelligence analysis, counterterrorism and so on. Enrol in this course today and start your instant first step towards learning about decision making in criminal intelligence analysis. Learn faster for instant implementation. Learning Outcome Familiarise with intelligence analysis Understand criminal intelligence analysis Understand criminal psychology Learn about the skills and competencies of a criminal intelligence analyst Know the research methods in crime analysis How Much Do Intelligence Officers Earn? Senior - £131,000 (Apprx.) Average - £91,000 (Apprx.) Starting - £63,000 (Apprx.) Requirement Our Criminal Intelligence Analyst Part - 2 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Criminal Intelligence Analyst Part - 2 Module 01: Decision Making in Criminal Intelligence Analysis 00:17:00 Module 02: Intelligence-Led Policing 00:21:00 Module 03: Counterterrorism and Criminal Intelligence Analysis 00:21:00 Module 04: Technology in Criminal Intelligence Analysis 00:20:00 Module 05: The Criminal Justice System in England and Wales 00:18:00 Assignment Assignment - Criminal Intelligence Analyst Part - 2 00:00:00

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