709 Courses

Duration 2 Days 12 CPD hours This course is intended for This class has something for everything, from beginners who wish to customise their data entry forms in SharePoint right up to advanced users who need to use advanced formulas to deliver more bespoke actions to their apps. Overview After taking this course, students will be able to: - Understand when to use PowerApp. - Describe the components of PowerApps and their correct use. - Create PowerApps from existing data sources. - Brand PowerApps. - Customize PowerApps beyond just using the automated wizards. - Connect to a range of data sources from Excel to Azure SQL. - Understand the difference between canvas apps and model-driven apps. - Integrate PowerApps with other Office 365 systems ? including Teams and SharePoint Online. - Administer and Maintain PowerApps Students will be taught how to design, test and publish new apps that work with a variety of data sources. We will take users through a selection of well-crafted lessons to help them build new applications for their business. 1 - AN INTRODUCTION TO POWERAPPS What is PowerApps? The benefits of apps How to get PowerApps Canvas Apps and Model-Driven Apps License Options and Costs Discover PowerApps with Templates Lab 1: Introduction to PowerApps 2 - GETTING STARTED WITH POWERAPPS Building a new app from a data source Add, edit and remove controls Intro to Formulas Testing an app App Settings Publish and Share Apps Version History and Restore PowerApps Mobile App Lab 1: Getting Started 3 - BRANDING AND MEDIA Less is more Duplicate Screens Fonts Screen Colours and Matching Colours Screen Backgrounds Buttons and Icons Hide on Timer Size and Alignment by reference Show and Hide on Timer Lab 1: Branding and Media 4 - POWERAPPS CONTROLS Text Controls for Data Entry and Display Controls ? Drop downs, combo box, date picker, radio button and more Forms ? Add and edit data in underlying data sources quickly Charts ? present information in pie, line and bar charts Lab 1: Build Apps from Blank 5 - DATA SOURCES AND LOGIC Data Storage and Services How do I decide which database to use? Connect to on-premises data - Gateway What is Delegation? Specific Data Examples Displaying Data Lab 1: Data Source and Logic 6 - MODEL-DRIVEN APPS What is a model-driven app? Where will my data be stored? How do create a model-driven app Canvas vs model-driven summary Lab 1: Model-Driven App 7 - POWERAPP INTEGRATION Embed PowerApps in Teams Embed PowerApps in SharePoint Online Start a Flow from a PowerApp Lab 1: PowerApp Integration 8 - ADMINISTRATION AND MAINTENANCE OF POWERAPPS Identify which users have been using PowerApps Reuse an app in another location (move from testing or development to production) Review app usage Prevent a user from using PowerApps Manage environments Lab 1: Administration and Maintenance Additional course details: Nexus Humans 55265 Microsoft PowerApps 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 55265 Microsoft PowerApps 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.

Register on the Cyber Security & Ethical Hacking today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Cyber Security & Ethical Hacking is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Cyber Security & Ethical Hacking Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Cyber Security & Ethical Hacking, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Introduction to Ethical Hacking Hacking Terms 00:07:00 VA vs PT and Rule of Engagement 00:09:00 Methodologies 00:07:00 Type of Pen Testing 00:06:00 Phases of Penetration Test 00:04:00 10 Steps to Follow 00:04:00 Setting up a Penetration Testing Lab What is Linux OS - Benefits 00:04:00 What is Kali Linux 00:03:00 Virtual Box Installation 00:06:00 Kali Linux Installation in VB 00:12:00 Install Metasploitable on Virtual Box 00:09:00 Install DVWA in Kali 00:18:00 Install TOR 00:09:00 Executing Basic Commands in Kali 00:12:00 Executing Advance Commands in Kali 00:14:00 Information Gathering What is Information Gathering 00:04:00 Maltego Part 1 00:07:00 Maltego Part 2 00:06:00 HTTrack 00:05:00 The Harvester 00:02:00 NSLookup 00:03:00 RedHawk 00:05:00 SHODAN 00:09:00 OSNIT Framework 00:05:00 Scanning and Enumeration What is Scanning 00:07:00 What is Nmap 00:05:00 Zenmap GUI 00:17:00 What is Enumeration 00:03:00 Types of Enumeration 00:03:00 Enumeration Using Hyena - 1 00:07:00 Enumeration Using Hyena - 2 00:06:00 VAPT What is Vulnerability Assessment 00:04:00 Phases of Vulnerability Assessment 00:08:00 Vulnerability Scoring Systems 00:09:00 Introduction to Nessus 00:05:00 Create and Configure Nessus Network Policy 00:08:00 Nessus Launch Scan and Analyse Result 00:08:00 Firewalls What is IDS 00:11:00 What Are Firewalls 00:10:00 What is DMZ 00:06:00 IDS Evasion Techniques 00:08:00 Firewall Evasion Techniques 00:09:00 Firewall Pentesting 00:02:00 WAPT Introduction to Web Servers 00:05:00 Types of Web Server Attacks 00:05:00 Web Server Penetration Testing 00:04:00 Countermeasures of Web Servers? 00:05:00 OWASP Top 10 Attacks Part 1 00:05:00 OWASP Top 10 Attacks Part 2 00:07:00 Website Foot Printing Part 1 00:05:00 Website Foot Printing Part 2 00:03:00 Command Execution Low 00:06:00 Command Execution Medium 00:07:00 Configuring Burp Suite 00:16:00 File Upload Low 00:10:00 File Upload Medium 00:07:00 File Upload High 00:08:00 SQL Injection 00:04:00 SQL Injection II 00:05:00 Manual SQL 00:17:00 Automating SQL 00:09:00 Countermeasures of SQL Injection 00:03:00 What Is XSS 00:03:00 Types of XSS 00:06:00 XSS Low 00:11:00 XSS Medium 00:05:00 XSS High 00:11:00 Countermeasures of XSS 00:04:00 What is CSRF 00:06:00 CSRF Practical 00:07:00 What is a Brute Force Attack? 00:05:00 Brute Force Political 00:18:00 Web Application Penetration Testing? 00:09:00 Web Application Countermeasures 00:06:00 Denial of Service What is Denial of Service (DOS)? 00:03:00 Types of DOS attack? 00:05:00 What is a BOTNET? 00:03:00 Malware Threats Introduction to Malware 00:09:00 Trojan 00:08:00 Types of Trojans 00:08:00 Viruses and Worms 00:07:00 Types of Viruses 00:10:00 Countermeasures 00:07:00 Social Engineering Introduction to Social Engineering 00:05:00 Social Engineering 00:06:00 Installing BeEF Framework 00:09:00 Getting User Credentials Using BeEF Framework 00:11:00 Cryptography Introduction to Cryptography 00:05:00 Symmetric Encryption 00:03:00 DES and AES 00:06:00 Asymmetric Encryption 00:03:00 RSA and Diffie 00:07:00 Hashing 00:07:00 Public Key Infrastructure (PKI) and Certificate Authority (CA) 00:10:00 Digital Signatures 00:09:00 Transport Layer Security (TLS) 00:04:00 Calculating One Way Hashes Using HashCal 00:04:00 Basic Data Encryption Advance and Decryption Package 00:05:00 Report Writing Introduction to Report Writing 00:08:00 Component of a Report 00:14:00 Bonus Section Why we need to fix vulnerabilities 00:05:00 Hacker Sponsored Security 00:03:00 Key Terms in Bug Bounty Program 00:05:00 Bug Bounty Definition 00:03:00 Public or Private Bug Bounty Program 00:04:00 What is HackerOne 00:05:00 Why Organizations will hire you 00:08:00

***24 Hour Limited Time Flash Sale*** Advanced Computer Science Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Advanced Computer Science Bundle provides unique insights and tools that can help you achieve your goals. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Advanced Computer Science bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level. But that's not all. When you enrol in Advanced Computer Science Online Training, you'll receive 30 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. Courses Are Included In this Advanced Computer Science Career Bundle: Course 01: Computer Science With Python Course 02: Python Programming for Everybody Course 03: C++ Development: The Complete Coding Guide Course 04: Coding with HTML, CSS, & Javascript Course 05: JavaScript Foundations for Everyone Course 06: SQL Programming Masterclass Course 07: SQL for Data Science, Data Analytics and Data Visualization Course 08: Ionic & Angular JS: Mobile and Web Development Course 09: Secure Programming of Web Applications - Developers and TPMs Course 10: Web Application Penetration Testing Course 11: Diploma in CompTIA Network+ Training Level 7 Course 12: CompTIA PenTest+ (Ethical Hacking) Course 13: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 14: R Programming for Data Science Course 15: Quick Data Science Approach from Scratch Course 16: Ionic & Angular JS: Mobile and Web Development Course 17: Machine Learning with Python Course Course 18: Spatial Data Visualization and Machine Learning in Python Course 19: Azure Machine Learning Course 20: Hands on Machine Learning Project - Auto Image Captioning for Social Media Course 21: JavaScript Project - Game Development with JS Course 22: Ultimate PHP & MySQL Web Development & OOP Coding Course 23: Masterclass Bootstrap 5 Course - Responsive Web Design Course 24: Diploma in User Experience UI/UX Design (Advanced) Course 25: Foundations of Artificial Intelligence Course 26: Project on Deep Learning - Artificial Neural Network Course 27: Encryption Course 28: Advanced Training on Windows 10 Course 29: Advance Windows 10 Troubleshooting for IT HelpDesk Course 30: Linux With Advanced Computer Science, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. And with 24/7 tutor support, you'll never feel alone in your journey, whether you're a seasoned professional or a beginner. Don't let this opportunity pass you by. Enrol in Advanced Computer Science today and take the first step towards achieving your goals and dreams. Why buy this Advanced Computer Science? Free CPD Accredited Certificate upon completion of Advanced Computer Science Get a free student ID card with Advanced Computer Science Lifetime access to the Advanced Computer Science course materials Get instant access to this Advanced Computer Science course Learn Advanced Computer Science from anywhere in the world 24/7 tutor support with the Advanced Computer Science course. Start your learning journey straightaway with our Advanced Computer Science Training! Advanced Computer Science premium bundle consists of 30 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of Advanced Computer Science is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the Advanced Computer Science course. After passing the Advanced Computer Science exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Advanced Computer Science course is ideal for: Students seeking mastery in Advanced Computer Science Professionals seeking to enhance Advanced Computer Science skills Individuals looking for a Advanced Computer Science-related career. Anyone passionate about Advanced Computer Science Requirements This Advanced Computer Science doesn't require prior experience and is suitable for diverse learners. Career path This Advanced Computer Science bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

Practical MySQL Course Intermediate, to leave you fully conversant with queries, DML and DDL statements. Hands-on, Practical MySQL Course Intermediate. PCWorkshops MySQL Course Intermediate Certificate. Max 4 people per course, we keep it personalised.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for networking and security professionals involved in the day-to-day management of a FortiAnalyzer appliance and FortiGate security information.. Overview Describe key features and concepts of FortiAnalyzer Deploy an appropriate architecture Manage ADOMs on both FortiAnalyzer and the devices that log to it Configure RAID Register supported devices Encrypt log transmission (SSL / IPSec) View & analyze current and historical logs (FortiView) Monitor events Apply disk quotas to log data from devices Backup, restore, and forward log data Use content archiving (summary and full) Understand the different stages of data processing, from receiving logs to compiling reports Understand SQL queries and datasets used by FortiAnalyzer reports Design datasets, charts, and custom reports Generate reports by schedule or on demand. In this 1-day class, you will learn how to use FortiAnalyzer. You will explore setup, registering supported devices and securing communications, managing logs and archives, and configuring both predefined and customized reports. Introduction to FortiAnalyzer Key features Key concepts Different FortiAnalyzer models Configuration & Administration Deployment requirements Configuration tools Configuring network settings Backing up system configuration Configuring administrative users Configuring, enabling, and assigning ADOMs Configuring RAID Device Registration Registered and unregistered devices Device registration methods Modifying options of a registered device Methods available to secure communication Configuring SSL encryption and encryption levels Configuring an IPsec tunnel Logs & Archives Logging basics The FortiView tab Configuring log arrays and event handlers Reports Reports and functionality Relationship between reports, charts, and datasets Effect of ADOMs on report settings SQL SELECT queries and clauses SQL functions and operators FortiAnalyzer-specific functions and macros Building or customizing charts Report features--creating, cloning, configuring

Course Overview This comprehensive course offers a deep dive into three essential technologies for data science: Python, JavaScript, and Microsoft SQL. Learners will gain foundational knowledge and practical skills in each of these key areas, which are crucial for handling data, creating interactive websites, and working with databases. By the end of the course, students will be proficient in writing Python code for data analysis, creating dynamic web content with JavaScript, and managing data with Microsoft SQL. The course is designed to equip learners with the technical skills needed to succeed in data science, making it a valuable investment for anyone looking to excel in this growing field. Course Description In this course, learners will explore the core principles of Python, JavaScript, and Microsoft SQL, all tailored to the needs of data science professionals. The curriculum covers Python’s data structures, functions, and libraries essential for data analysis, while JavaScript introduces students to web development skills, including client-side validation and data visualisation. The Microsoft SQL section focuses on data management, including filtering, joining, and structuring queries. Learners will develop a solid understanding of these technologies, which will enable them to manipulate data, automate processes, and design interactive applications. The course also includes real-world applications, ensuring learners are well-prepared for future opportunities in data science and web development. Course Modules: Module 01: JavaScript Getting Started Module 02: JavaScript Fundamentals Module 03: JavaScript Strings Module 04: JavaScript Operators Module 05: JavaScript Conditional Statements Module 06: JavaScript Control Flow Statements Module 07: JavaScript Functions Module 08: Data Visualization (Google Charts) Module 09: JavaScript Error Handling Module 10: JavaScript Client-Side Validations Module 11: Python Introduction Module 12: Python Basic Module 13: Python Strings Module 14: Python Operators Module 15: Python Data Structures Module 16: Python Conditional Statements Module 17: Python Control Flow Statements Module 18: Python Core Games Module 19: Python Functions Module 20: Python Args, KW Args for Data Science Module 21: Python Project Module 22: Publish Your Website for Live Module 23: MS SQL Statements Module 24: MS SQL Filtering Data Module 25: MS SQL Functions Module 26: MS SQL Joins Module 27: MS SQL Advanced Commands Module 28: MS SQL Structure and Keys Module 29: MS SQL Queries Module 30: MS SQL Structure Queries Module 31: MS SQL Constraints Module 32: MS SQL Backup and Restore (See full curriculum) Who is this course for? Individuals seeking to enhance their skills in data science. Professionals aiming to expand their knowledge in programming and database management. Beginners with an interest in Python, JavaScript, and SQL. Anyone looking to enter the field of data science or web development. Career Path Data Scientist Web Developer Database Administrator Data Analyst Front-End Developer Full Stack Developer Data Engineer

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Course Overview Course Overview 00:05:00 Virtual Lab Build Video - Downloading ISO and OVA Files for VirtualBox 00:08:00 Video and Lab -Creating a Virtual install of Kali using VirtualBox 00:12:00 Video and lab - Create a virtual install of Metasploitable2 00:10:00 Video and Lab - Creating Windows 7 Pro Target Machine Using VirtualBox 00:07:00 Video and Lab - Creating Windows 10 Target Machine Using VirtualBox 00:08:00 Creating Windows 10 Target Machine Using VirtualBox 00:08:00 Installing the VirtualBox Extension Pack 00:02:00 NMap Installing the WebMap-Nmap Dashboard 00:12:00 Automated Recon/Enumeration Using nmapAutomator 00:10:00 Enumerating a Windows 10 Target Creating a Vulnerable Windows 10 Target 00:04:00 Reverse Shells, Privilege Escalation and Persistent Backdoors. Create a Windows Reverse Shell Using the PowerShell 00:08:00 Create a Reverse Shell Using Command Injection 00:06:00 Create a Reverse Shell Using a File Upload 00:08:00 Launch an Automated Meterpreter Session 00:13:00 Upgrade a Dumb Terminal to Fully Functional BASH Shell 00:09:00 Windows 7 Privilege Escalation Using UAC Bypass 00:05:00 Creating a Persistent Backdoor Using a Persistent Service 00:14:00 PowerShell Empire Create Virtual Install of Server 2016 Full GUI Using VirtualBox 00:12:00 00:09:00 Installing PowerShell Empire StarKiller On Kali Linux 00:05:00 Enumerating Active Directory 00:15:00 Post-Exploitation of Windows Using PowerShell Empire 00:19:00 Post Exploitation of Microsoft Windows Advanced Password Hacking with Metasploit 00:13:00 Post-Exploitation of Microsoft Windows 00:13:00 Brute Force the SMB Password on a Windows Server 00:10:00 Enumerating Active Directory Using RPCClient 00:16:00 Dumping Wi-Fi Credentials Using netsh 00:04:00 Practical Pentesting Labs Heartbleed OpenSSL Exploit Vulnerability 00:17:00 Performing an RDP Brute Force Attack 00:14:00 Exploiting Active Directory using LLMNR/NBT-NS Poisoning 00:11:00 Accessing Kali Across the WAN with NGROK 00:15:00 Pentesting with Netcat 00:12:00 Enumerate DNS Records Using DNSRecon 00:12:00 Auditing Wireless Networks Installing a Wireless Adapter in Kali 00:09:00 Hacking a Wireless Network Using Kali Linux 00:14:00 Wireless Deauthentication Attack 00:06:00 PMKID Client-less Wireless Attack Using Bettercap 00:10:00 Wireshark Overview of Wireshark 3.2 00:10:00 Wireshark Capture Options 00:07:00 Wireshark Toolbar Icons 00:03:00 Capturing Wireless Traffic Using Wireshark 00:05:00 Capturing a 3-way TCP Handshake Using Wireshark 00:05:00 Web App Penetration Testing Creating a virtual install of OWASP 00:05:00 Setting Up Burp Suite 00:09:00 Attack Web Apps with Burp Suite Using SQL Injection 00:11:00 OS Command Injection Using Commix 3.2x 00:16:00 Web Application Firewall Detection Using WAFW00F 00:04:00 Exploit Vulnerable Web Applications Using Command Injection 00:09:00 Exploit Vulnerable Web Applications Using Command Injection 00:09:00 Using Banner Grabbing to Aid in Reconnaissance 00:10:00 Anonymity - Remaining Anonymous While Pentesting Anonymize Kali Using Whonix 00:10:00 CTF - SQL Injection to Shell Walkthrough Lab Preparation for CTF SQL Injection to Shell 00:04:00 CTF Walkthrough for SQL Injection to Shell 00:13:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Duration 3.5 Days 21 CPD hours This course is intended for This course is for AWS Cloud Architects with expertise in designing and implementing solutions running on AWS who now want to design for Microsoft Azure. Overview After completing this course, students will be able to: Secure identities with Azure Active Directory and users and groups. Implement identity solutions spanning on-premises and cloud-based capabilities Apply monitoring solutions for collecting, combining, and analyzing data from different sources. Manage subscriptions, accounts, Azure policies, and Role-Based Access Control. Administer Azure using the Resource Manager, Azure portal, Cloud Shell, and CLI. Configure intersite connectivity solutions like VNet Peering, and virtual network gateways. Administer Azure App Service, Azure Container Instances, and Kubernetes. This course teaches Solutions Architects who have previously designed for Amazon Web Services how to translate business requirements into secure, scalable, and reliable solutions for Azure. Introduction to Azure Subscriptions and accounts Resource groups and templates in Azure Resource Manager Azure global infrastructure Azure regions Azure Availability Zones Comparison with AWS Implement Azure Active Directory Introduction to Azure Active Directory Domains and custom domains Safety features Guest users in Azure Active Directory Manage multiple directories Comparison with AWS Implement and manage hybrid identities Introduction to Azure AD Connect Comparison with AWS Implement virtual networking Azure Virtual Network and VNet peering VPN and ExpressRoute connections Comparison with AWS Implement VMs for Windows and Linux Configure high availability Comparison with AWS Implement load balancing and network security Implement Azure Load Balancer Implement an Azure Application Gateway Implement Azure Firewall Implement network security groups and application security groups Comparison with AWS Implement container-based applications Configure Azure Kubernetes Service Publish a solution on an Azure Container Instance Comparison with AWS Implement an application infrastructure Create an App Service plan Create and configure Azure App Service Configure networking for an App Service Introduction to Logic Apps and Azure Functions Comparison with AWS Implement storage accounts Azure Storage core concepts Managing the Azure Blob storage lifecycle Working with Azure Blob storage Comparison with AWS Implement NoSQL databases Introduction to Azure Cosmos DB Consistency Select appropriate CosmosDB APIs Set up replicas in CosmosDB Comparison with AWS DynamoDB Implement Azure SQL databases Configure Azure SQL database settings Implement Azure SQL Database managed instances Configure high availability for an Azure SQL database Comparison with AWS Implement cloud infrastructure monitoring Monitor security Monitor cost Configure a Log Analytics workspace Comparison with AWS Implement and manage Azure governance solutions Assign RBAC roles Configure management access to Azure Implement and configure an Azure Policy Comparison with AWS Manage security for applications Implement Azure Key Vault Implement and configure Azure AD Managed Identities Register and manage applications in Azure AD Comparison with AWS Migration, backup, and disaster recovery management Migrate workloads Implement Azure Backup for VMs Implement disaster recovery Comparison with AWS

Unlock the power of data-driven decision-making with our Business Intelligence Analyst Course. Gain essential skills in data analysis, visualization, and interpretation to extract valuable insights for business growth. Whether you're a seasoned professional or new to the field, this course provides comprehensive training in business intelligence tools and techniques. Enroll now and become proficient in transforming raw data into actionable intelligence, empowering organizations to make informed strategic decisions.