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C++ Bootcamp is for coding beginners: You want all the basic stuff, all the advanced stuff and practical experience and get a fantastic job in C++

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.

What Will I Learn? Understand what binary options are Understand what news is important for financial markets Know where to find economic calendars for trading Learn how market participants react to news releases Be able to make a research to distinguish different trading patterns Learn how to make money using news releases Be able to create own strategy based on news statistics Requirements Just an open mind Basic knowledge of trading is welcome, but not obligatory Description This course is about how to make a profitable strategy trading only few times a week - only after important news releases. In this course I teach you how to identify trading patterns which usually happen after the most significant events take place and how to predict future price movement just knowing market participants reaction to this particular news. Why do I know that? Because participants often overestimate risks and underestimate the impact of a certain economic process for a certain currency. And you may use this market ineffectiveness opening binary options. After passing this course, you would be able to identify a trading pattern after a certain economic release. You'll also learn when open a trade and what expiration time to choose to make this strategy more profitable. I believe you will take advantage of trading binary options and it will help you to make profits. Take this course now and learn from my 12+ years of experience. This course is for beginners as well as for advanced traders! All you need is just your aspiration to learn! With this course you also get: unlimited lifetime access at no extra costs all future additional lectures, live trading examples never any questions asked full 30 day money-back-in-full guarantee Do not hesitate to ask me any questions concerning this course or trading financial markets! Viktor Who is the target audience? Anyone interested in trading Financial Markets Beginners and experienced traders who want to invest in binary options market People looking for investment opportunities Traders who want to learn trading patterns and integrate them into their own strategies About the course Introduction 00:04:00 Installation 00:04:00 Basic Knowledge about Binary Options What Binary Options Are 00:04:00 How to choose a broker 00:06:00 Platform Observation 00:04:00 Trading Binary Options on News Advantages and disadvantages of News Trading Strategy 00:02:00 Which calendar to choose when you trade binaries on Forex 00:03:00 What news is important 00:08:00 Where to find news calendar if you trade options on commodities 00:04:00 How to make a research 00:05:00 How and when initiate a trade 00:04:00 Forex Statistics How to trade 'Durable goods' releases 00:02:00 How to trade 'ADP Non-Farm Employment Change' releases 00:03:00 How to trade 'Retail Sales' (GB) releases 00:03:00 Commodities Statistics How to trade 'Crude Oil Inventories' 00:02:00 How to trade 'Natural Gas Inventories' 00:02:00 How to trade binaries on wheat after WASDE releases 00:02:00 How to trade binaries on corn after WASDE releases 00:02:00 Live Trade Examples USDJPY at Non-Farm 00:02:00 Crude Oil Inventories, 11th of May 00:02:00 Retail Sales (GBP), 19th of May 00:01:00

 What Will I Learn? Understand what binary options are Understand how to trade binary options Know trading patterns on different markets Know a new money management method Find the best moment to enter the market Know how to choose markets for different strategies Know at least 3 profitable trading strategies Requirements Just an open mind Basic knowledge of trading is welcome, but not obligatory Description In this course, I will explore the fundamentals of trading binary options. You will also learn advantages and disadvantages of trading such simple financial instrument. I will describe how to trade binary option and explain a trading platform in all details. I will teach you profitable trading patterns on 4 different types of markets and you will learn how to recognise them in future and take a correct trading decision. Afterwards, you could easily do everything yourself. You will also get a basic knowledge of trading commodities, indexes, Forex and stocks. But the main idea of this course is that you get at least 3 profitable trading strategies and exclusive money management method, which can improve your trading performance significantly. I believe you will take advantage of trading binary options and it will help you to make profits. Take this course now and learn from my 12+ years of experience. This course is for beginners as well as for advanced traders! All you need is just your aspiration to learn! With this course you also get: unlimited lifetime access at no extra costs all future additional lectures, live trading examples never any questions asked full 30-day money-back-in-full guarantee Do not hesitate to ask me any questions concerning this course or trading financial markets! Viktor Who is the target audience? Anyone interested in trading Financial Markets Beginners and experienced traders who want to invest in binary options market People looking for investment opportunities Traders who want to learn trading patterns and integrate them into their own strategies About the Сourse Introduction of How to Trade Binary Options Effectively - All Levels 00:02:00 Installation 00:04:00 What You Will Achieve after First Part of this Course Passed 00:01:00 What You Should Know About Binary Options 4 Lectures What Binary Options Are 00:04:00 Advantages and Disadvantages of Trading Binary Options 00:04:00 Platform Observation 00:04:00 How to Trade Binary Options 00:03:00 Learn Trading Patterns Commodity Trading Patterns 00:03:00 Indexes Trading Patterns 00:06:00 Forex Trading Patterns 00:08:00 Stock Trading Patterns 00:02:00 Real Profitable Trading Strategies Martingale Money Management Method 00:04:00 SAFE Martingale Money Management Method (modified) 00:02:00 Strategy 1. Hedging 00:03:00 Strategy 2. Divergence 00:03:00 Strategy 3. Rainbow 00:03:00

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This course takes you through all the important topics of data structure and algorithms from scratch. You will learn how to solve real-world problems with linked lists, stacks, queues, sorting algorithms, and a lot more using Python.

IP addressing and subnetting course description A course focusing purely on IP addressing and subnetting. The course assumes that delegates already have some knowledge of IP addressing. In particular delegates will be able to calculate subnet numbers in seconds without using binary. What will you learn Download and install Wireshark. Calculate subnet numbers in seconds Design IP addressing schemes. Troubleshoot IP address problems. Calculate CIDR prefixes in seconds IP addressing and subnetting course details Who will benefit: Anyone working with TCP/IP. Prerequisites: TCP/IP Foundation for engineers Duration 2 days IP addressing and subnetting course contents IP addressing review What is an IP address? What is a subnet? Classless IP addressing. The rules of IP addressing. Ways IP addresses are used: On hosts, in packets, in routing tables. Hands on Byte boundary subnetting. Configuring IP addresses Interfaces, Static vs. dynamic configuration. DHCP: Scopes, leases, relays, using multiple DHCP servers. Multihoming. Subnetting Default subnet masks, subnet notations. How to subnet without binary. VLSMs. Hands on Bit boundary subnetting. Address ranges and routing Routing tables, IP address spoofing, host specific routing, subnets in routing tables, supernets in routing tables. CIDR. Impact of choice of routing protocol. Hands on IP addressing plans. Allocations and assignments IAB, IANA, RIRs, RIPE, LIRs and ISPs. PI vs. PA addressing. Hands on Querying the RIPE database. Private addressing and NAT NAT, NAPT, NAT terms, private addresses, NAT operation, NAT architecture, NAT and security, why use NAT? NAT-ALG, Types of NAT, RSIP. Special use addresses Unicasts, broadcasts, multicasts, anycasts. Directed broadcasts. Allowing broadcasts through routers.

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Overview This comprehensive course on Data Structures Complete Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Structures Complete Course comes with accredited certification, 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 Data Structures Complete Course. It is available to all students, of all academic backgrounds. Requirements Our Data Structures Complete 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 14 sections • 55 lectures • 09:02:00 total length •Module 01: Promo Video: 00:02:00 •Module 02: Data Structure Introduction: 00:05:00 •Module 03: Computational Complexity Analysis: 00:13:00 •Module 01: Static and Dynamic Arrays: 00:12:00 •Module 02: Dynamic Arrays Source Code: 00:07:00 •Module 01: Singly and Doubly Linked Lists: 00:15:00 •Module 02: Doubly Linked Lists Source Code: 00:10:00 •Module 01: Stack: 00:12:00 •Module 02: Stack Implementation: 00:04:00 •Module 03: Stack Source Code: 00:04:00 •Module 01: Queues (Part-1): 00:06:00 •Module 02: Queues (Part-2): 00:06:00 •Module 03: Queue Source Code: 00:04:00 •Module 01: Priority Queues (PQs) with an interlude on heaps: 00:13:00 •Module 02: Turning Min PQ into Max PQ: 00:06:00 •Module 03: Adding Elements to Binary Heap: 00:10:00 •Module 04: Removing Elements from Binary Heap: 00:14:00 •Module 05: Priority Queue Binary Heap Source Code: 00:16:00 •Module 01: Disjoint Set: 00:06:00 •Module 02: Kruskal's Algorithm: 00:06:00 •Module 03: Union and Find Operations: 00:11:00 •Module 04: Path Compression Union Find: 00:07:00 •Module 05: Union Find Source Code: 00:08:00 •Module 01: Binary Trees and Binary Search Trees (BST): 00:13:00 •Module 02: Inserting Element into a Binary Search Tree (BST): 00:06:00 •Module 03: Removing Element from a Binary Search Tree (BST): 00:14:00 •Module 04: Tree Traversals: 00:12:00 •Module 05: Binary Search Source Code: 00:13:00 •Module 01: Fenwick Tree Construction: 00:06:00 •Module 02: Point Updates: 00:06:00 •Module 03: Binary Indexed Tree: 00:14:00 •Module 04: Fenwick Tree Source Code: 00:06:00 •Module 01: Hash Table: 00:17:00 •Module 02: Separate Chaining: 00:08:00 •Module 03: Separate Chaining Source Code: 00:12:00 •Module 04: Open Addressing: 00:11:00 •Module 05: Linear Probing: 00:14:00 •Module 06: Quadratic Probing: 00:09:00 •Module 07: Double Hashing: 00:15:00 •Module 08: Removing Element Open Addressing: 00:08:00 •Module 09: Open Addressing Code: 00:15:00 •Module 01: Introduction: 00:03:00 •Module 02: The Longest Common Prefix (LCP) Array: 00:03:00 •Module 03: Using SA/LCP Array to Find Unique Substrings: 00:05:00 •Module 04: Longest Common Substring (LCS): 00:11:00 •Module 05: Longest Common Substring (LCS) Full Example: 00:07:00 •Module 06: Longest Repeated Substring (LRS): 00:05:00 •Module 01: Balanced Binary Search Trees (BBSTs): 00:09:00 •Module 02: Inserting Elements into an AVL Tree: 00:10:00 •Module 03: Removing an AVL Tree: 00:09:00 •Module 04: AVL Tree Source Code: 00:17:00 •Module 01: Indexed Priority Queue (Part-1): 00:25:00 •Module 02: Indexed Priority Queue Source Code: 00:09:00 •Module 01: Sparse Table: 00:26:00 •Module 02: Sparse Table Source Code: 00:07:00

Data Structure Level 5 is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Data Structure Level 5 and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 9 hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training A Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Unit 01: Introduction Module 01: Promo Video 00:02:00 Module 02: Data Structure Introduction 00:05:00 Module 03: Computational Complexity Analysis 00:13:00 Unit 02: Arrays Module 01: Static and Dynamic Arrays 00:12:00 Module 02: Dynamic Arrays Source Code 00:07:00 Unit 03: Liked List Module 01: Singly and Doubly Linked Lists 00:15:00 Module 02: Doubly Linked Lists Source Code 00:10:00 Unit 04: Stack Module 01: Stack 00:12:00 Module 02: Stack Implementation 00:04:00 Module 03: Stack Source Code 00:04:00 Unit 05: Queues Module 01: Queues (Part-1) 00:06:00 Module 02: Queues (Part-2) 00:06:00 Module 03: Queue Source Code 00:04:00 Unit 06: Priority Queues (PQs) Module 01: Priority Queues (PQs) with an interlude on heaps 00:13:00 Module 02: Turning Min PQ into Max PQ 00:06:00 Module 03: Adding Elements to Binary Heap 00:10:00 Module 04: Removing Elements from Binary Heap 00:14:00 Module 05: Priority Queue Binary Heap Source Code 00:16:00 Unit 07: Union Find Module 01: Disjoint Set 00:06:00 Module 02: Kruskal's Algorithm 00:06:00 Module 03: Union and Find Operations 00:11:00 Module 04: Path Compression Union Find 00:07:00 Module 05: Union Find Source Code 00:08:00 Unit 08: Binary Search Trees Module 01: Binary Trees and Binary Search Trees (BST) 00:13:00 Module 02: Inserting Element into a Binary Search Tree (BST) 00:06:00 Module 03: Removing Element from a Binary Search Tree (BST) 00:14:00 Module 04: Tree Traversals 00:12:00 Module 05: Binary Search Source Code 00:13:00 Unit 09: Fenwick Tree Module 01: Fenwick Tree Construction 00:06:00 Module 02: Point Updates 00:05:00 Module 03: Binary Indexed Tree 00:14:00 Module 04: Fenwick Tree Source Code 00:06:00 Unit 10: Hash Tables Module 01: Hash Table 00:17:00 Module 02: Separate Chaining 00:08:00 Module 03: Separate Chaining Source Code 00:12:00 Module 04: Open Addressing 00:11:00 Module 05: Linear Probing 00:14:00 Module 06: Quadratic Probing 00:09:00 Module 07: Double Hashing 00:15:00 Module 08: Removing Element Open Addressing 00:08:00 Module 09: Open Addressing Code 00:15:00 Unit 11: Suffix Array Module 01: Introduction 00:03:00 Module 02: The Longest Common Prefix (LCP) Array 00:03:00 Module 03: Using SA/LCP Array to Find Unique Substrings 00:05:00 Module 04: Longest Common Substring (LCS) 00:11:00 Module 05: Longest Common Substring (LCS) Full Example 00:07:00 Module 06: Longest Repeated Substring (LRS) 00:05:00 Unit 12: AVL Trees Module 01: Balanced Binary Search Trees (BBSTs) 00:09:00 Module 02: Inserting Elements into an AVL Tree 00:10:00 Module 03: Removing an AVL Tree 00:09:00 Module 04: AVL Tree Source Code 00:17:00 Unit 13: Indexed Priority Queue Module 01: Indexed Priority Queue (Part-1) 00:25:00 Module 02: Indexed Priority Queue Source Code 00:09:00 Unit 14: Sparse Tables Module 01: Sparse Table 00:26:00 Module 02: Sparse Table Source Code 00:07:00