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Duration 2 Days 12 CPD hours This course is intended for This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise. While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos. Overview This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, students will explore: Exploring AI Introduction to Machine Learning Introduction to Deep Learning Introduction to Data Science Artificial Intelligence (AI) in Software Testing Implementing AI in Test Automation Innovative AI Test Automation Tools for the Future Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements. Exploring AI AI-Initiatives The Priority: Excellence AI- Intelligence Types The Machine Learning Types The Quality Learning Initiative The Inception in Academics AI - Importance & Applications The Re-visit Learning Re-visited via AI Teaching in the world of AI Exploring AI for Self-Development AI In Academics Beyond Academics Introduction to Machine Learning What is Machine Learning? Why Machine Learning? Examples - Algorithms behind Machine Learning Introduction to Deep Learning What is Deep Learning? Why Deep Learning? Example - Deep Learning Vs Machine Learning Introduction to Data Science What is Data Science? Why Data Science? Examples - Use Cases of Data Science Artificial Intelligence (AI) in Software Testing What is AI in Software Testing? The Role of AI Testing Why do we Need AI in Software Testing? Pros and Cons of AI in Software Testing Applications of AI in Software Testing Is it time for Testers or QA Teams to worry about AI? Automated Testing with Artificial Intelligence Implementing AI in Test Automation Training the AI Bots Challenges with AI-powered Applications Examples - Real World use cases using Artificial Intelligence Demo - Facial Emotion Detection Using Artificial Intelligence Demo - Text Analysis API Using Artificial Intelligence Demo - EYE SPY Mobile App Using Artificial Intelligence Innovative AI Test Automation Tools for the Future Tools used for Implementing AI in Automation Testing What is NEXT? AI Test Automation Demo using Testim

We will follow a hands-on approach in this course to learn how to use and apply HTML5 and CSS3 concepts to the front-end page of your projects. A carefully structured beginner-level course that will help you level up your web development skills. You need not have any prior experience in HTML and CSS to take up this course.

Step-by-step tutorial to build a robust automation framework - TestNG, ANT, Maven, Jenkins, Cucumber, Git, Pageobject, Cloud,SQL

IT Cyber Security Engineer – Job Ready Programme Enrol in Our IT Cyber Security Engineer – Job Ready Programme with Career Support! Gain access to 3,000+ online courses and earn Free Certificates to showcase your skills and boost your career potential. Step into the high-demand world of cyber security with a comprehensive programme designed for the UK job market. Master critical areas like penetration testing, secure cloud architecture, AI-powered threat detection, and GDPR compliance—skills that can lead to roles earning up to £95,000 a year. As UK businesses face £27 billion in cybercrime losses annually, the demand for skilled IT Cyber Security Engineers has never been greater. Whether you're changing careers or upskilling, this course equips you with in-demand expertise in threat intelligence, cryptography, and secure coding. Become the digital defence every company needs. Start your journey toward a resilient and rewarding career in cyber security today. Professional Diploma in IT Cyber Security Engineer – 25 Core Courses – Course 01: Cyber Security Online Course: DOSS and DDOS – Course 02: Cyber Security Training: Incident Handling & Response – Course 03: Security Threat Management – Course 04: Certified Information Security Manager (CISM) – Course 05: Certified Information Systems Security Professional (CISSP) – Course 06: CompTIA Advanced Security Practitioner (CASP) – Course 07: Computer Network Security Complete Training – Course 08: CyberSec First Responder: Threat Detection and Response [QLS Level 7] – Course 09: Bash Scripting and Shell Programming for Beginners – Course 10: Ethical Hacking Masterclass – Course 11: CompTIA PenTest+ Ethical Hacking Course – Course 12: BlackArch Linux: Ethical Hacking and Penetration Testing – Course 13: Ultimate Linux Security and Hardening Training – Course 14: The Complete Python Hacking Course: Beginner to Advanced! – Course 15: SQL Database Basics – Course 16: CompTIA Network+ Certification (N10-008) – Course 17: CompTIA A+ Core 1 (220-1101) Course – Course 18: CompTIA A+ Core 2 (220-1102) Course – Course 19: CompTIA Security+ (SY0-601) – Course 20: CompTIA Cloud+ CV0-002 Course – Course 21: Cisco CCENT/CCNA Interconnecting Cisco Networking Devices Part 1 – Course 22: Cisco CCNA Interconnecting Cisco Networking Devices Part 2 (ICND2) Training – Course 23: Cisco ASA Firewall Training with Step-by-Step Lab Workbook – Course 24: FortiGate Firewall Training Step-by-Step Lab Workbook – Course 25: Palo Alto Firewall Training with Step-by-Step Lab Workbook Job Readiness & Career Development Training (Complementary) – Course 01: Career Development Training – Course 02: Effective CV Writing – Course 03: CV Writing and Interview Tricks – Course 04: Ace the Interview – Interview Prep That Makes a Difference – Course 05: Job Search Skills – Course 06: Effective Communication Skills for Professionals – Course 07: Boost Your Confidence, Assertiveness – Course 08: Body Language Secrets – Course 09: Coaching and Mentoring – Course 10: Presentation Skills – Present like a Pro – Course 11: Public Speaking Course – Course 12: Project Management Training – Course 13: Leadership & Management – Course 14: Negotiation and Agreement Training – Course 15: Workplace Equality & Diversity – Course 16: Professional Development and Personal Well-being – Course 17: Emotional Intelligence and Human Behaviour – Course 18: Time Management: Step By Step Training – Course 19: Cross-Cultural Awareness – Course 20: Productivity Boosting – Course 21: Critical Thinking & Problem Solving – Course 22: Perfect LinkedIn Profile Creation – Course 23: Resume Writing Skills & Job Search With LinkedIn – Course 24: Email Writing – Course 25: Learn Microsoft Word, PowerPoint & Outlook In 90 Minutes!

Data Analysis: Data Analysis Course Would you like to acquire the skills and self-assurance necessary to make wise choices and successfully traverse the intricate and ever-changing realm of data analysis? Enrol in our Data Analysis Course. The fundamentals of data, statistics, and an introduction to data analysis are all covered in this data analysis course. The how-to of data collection and its sources are explained in the Data Analysis Course. This Data Analysis Course teaches preprocessing, data cleansing, and exploratory data analysis (EDA). An overview of Excel and Python for data analysis is explained in this Data Analysis Course. This extensive Data Analysis course includes lessons on data wrangling with Pandas (Python) and data visualisation using Matplotlib and Seaborn (Python). So, quickly join our Data Analysis Course to learn the fundamentals of machine learning and statistical analysis! Special Offers with free gifts for this Data Analysis: Data Analysis Course This Data Analysis Course course includes a FREE PDF Certificate. Lifetime access to this Data Analysis Course course Instant access to this Data Analysis Course course Get FREE Tutor Support to this Data Analysis Course Course Learning Outcome of Data Analysis Course This Data Analysis Course will help you learn about: Introduction to data analysis, basics of data, and statistics. Data Analysis Course explains how to collect data and its sources. Data cleaning, processing, and exploratory data analysis (EDA) are included in this Data Analysis Course. This Data Analysis Course describes an introduction to Excel for Data Analysis and Python for Data Analysis. Data Wrangling with Pandas (Python) and Data Visualisation with Matplotlib and Seaborn (Python) are parts of this comprehensive Data Analysis Course. With the help of this Data Analysis Course, you will learn the basics of statistical analysis and machine learning. Data Analysis: Data Analysis Course Embark on a transformative journey with our Data Analysis course, designed for beginners. Dive deep into the world of data analysis, mastering essential techniques and tools. Gain practical skills in Data Analysis, empowering you to unlock insights and drive informed decisions. Start your Data Analysis journey today! Who is this course for? Data Analysis: Data Analysis Course Anyone looking to have a thorough grasp of data analysis in a commercial setting should take this Data Analysis: Data Analysis Course. Requirements Data Analysis: Data Analysis Course To enrol in this Data Analysis: Data Analysis Course, students must fulfil the following requirements. To join in our Data Analysis: Data Analysis Course, you must have a strong command of the English language. To successfully complete our Data Analysis: Data Analysis Course, you must be vivacious and self driven. To complete our Data Analysis: Data Analysis Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Data Analysis: Data Analysis Course. Career path Data Analysis: Data Analysis Course With the assistance of this Data Analysis Course, you can obtain work as a data analyst, business analyst, marketing analyst, or in related fields.

Duration 5 Days 30 CPD hours This course is intended for Entry- to mid-level network engineers Network administrators Network support technicians Help desk technicians Overview After taking this training, you should be able to: Illustrate the hierarchical network design model and architecture using the access, distribution, and core layers Compare and contrast the various hardware and software switching mechanisms and operation while defining the Ternary Content Addressable Memory (TCAM) and Content Addressable Memory (CAM) along with process switching, fast switching, and Cisco Express Forwarding concepts Troubleshoot Layer 2 connectivity using VLANs and trunking Implement redundant switched networks using Spanning Tree Protocol Troubleshoot link aggregation using Etherchannel Describe the features, metrics, and path selection concepts of Enhanced Interior Gateway Routing Protocol (EIGRP) Implement and optimize Open Shortest Path First (OSPF)v2 and OSPFv3, including adjacencies, packet types and areas, summarization, and route filtering for IPv4 and IPv6 Implement External Border Gateway Protocol (EBGP) interdomain routing, path selection, and single and dual-homed networking Implement network redundancy using protocols such as Hot Standby Routing Protocol (HSRP) and Virtual Router Redundancy Protocol (VRRP) Implement internet connectivity within Enterprise using static and dynamic Network Address Translation (NAT) Describe the virtualization technology of servers, switches, and the various network devices and components Implement overlay technologies such as Virtual Routing and Forwarding (VRF), Generic Routing Encapsulation (GRE), VPN, and Location Identifier Separation Protocol (LISP) Describe the components and concepts of wireless networking, including Radio Frequency (RF) and antenna characteristics, and define the specific wireless standards Describe the various wireless deployment models available, including autonomous Access Point (AP) deployments and cloud-based designs within the centralized Cisco Wireless LAN Controller (WLC) architecture Describe wireless roaming and location services The Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.3 training gives you the knowledge and skills needed to install, configure, operate, and troubleshoot an enterprise network and introduces you to overlay network design by using SD-Access and SD-WAN solutions. You?ll also learn to understand and implement security principles and automation and programmability within an enterprise network. Course Outline Examining Cisco Enterprise Network Architecture Exploring Cisco Switching Paths Implementing Campus LAN Connectivity Building Redundant Switched Topology Implementing Layer 2 Port Aggregation Understanding EIGRP Implementing OSPF Optimizing OSPF Exploring EBGP Implementing Network Redundancy Implementing NAT Introducing Virtualization Protocols and Techniques Understanding Virtual Private Networks and Interfaces Understanding Wireless Principles Examining Wireless Deployment Options Understanding Wireless Roaming and Location Services Examining Wireless AP Operation Implementing Wireless Client Authentication Troubleshooting Wireless Client Connectivity Implementing Network Services Using Network Analysis Tools Implementing Infrastructure Security Implementing Secure Access Control Discovering the Basics of Python Programming Discovering Network Programmability Protocols Implementing Layer 2 Port Aggregation Discovering Multicast Protocols Understanding QoS Exploring Enterprise Network Security Architecture Exploring Automation and Assurance Using Cisco DNA Center Examining the Cisco SD-Access Solution Understanding the Working Principles of the Cisco SD-WAN Solution

The Data Science (Business and Management) Mini Bundle offers a clever mix of technical and soft skills. You’ll explore core data topics like analysis, Python programming, and SQL—paired with public speaking and communication skills that actually help you talk to people about all that data. This isn’t just about numbers—it’s about knowing what to say when someone asks, “What do these numbers mean?” Whether you’re presenting to a team or querying a database, this course helps you communicate with confidence and clarity while building your technical toolkit for business roles. Learning Outcomes: Analyse datasets using structured, goal-based methods. Write Python code to organise, clean and process information. Understand SQL queries to access and filter relevant data. Present findings clearly using confident verbal communication. Improve workplace discussions through stronger communication habits. Combine data insights with thoughtful business reasoning. Who Is This Course For: Data beginners looking to speak clearly in business meetings. Business analysts needing stronger coding and tech fluency. Professionals handling large datasets and regular reports. Team members presenting technical updates or data reviews. Career changers entering data-focused business environments. Admins juggling between spreadsheets and project discussions. Managers wanting a sharper grasp on data and delivery. Curious learners improving both tech skills and communication. Career Path: Business Analyst – £42,000/year Data Communications Officer – £36,000/year Business Intelligence Assistant – £38,000/year SQL Analyst – £40,000/year Python Data Assistant – £39,000/year Public Speaking Coach (Business Focus) – £34,000/year

The Data Analyst Mini Bundle equips learners with core skills in data analysis and management, including courses on data entry, SQL, Python programming, and Microsoft Access. This bundle is ideal for anyone interested in entering the field of data analytics or enhancing their ability to handle and interpret data effectively. The curriculum focuses on key tools and techniques for collecting, organising, and analysing data. Learners gain a solid foundation in programming languages and software widely used in data roles, enabling confident application of data skills in various industries. Learning Outcomes: Understand data entry methods and accuracy requirements. Learn SQL for managing and querying databases effectively. Study Python basics for data analysis and automation tasks. Explore Microsoft Access for database management and reporting. Develop skills to clean and interpret data sets accurately. Apply analytical thinking to solve data-related problems. Who Is This Course For: Aspiring data analysts wanting to learn key technical tools. Office staff managing data and database tasks. IT professionals looking to expand data analysis skills. Students preparing for careers in data science or analytics. Business professionals aiming to interpret data confidently. Freelancers handling data collection and reporting duties. Individuals interested in programming for data applications. Anyone seeking an online introduction to data analytics. Career Path: Data Analyst – £28,000 to £45,000 SQL Developer – £30,000 to £48,000 Business Intelligence Analyst – £32,000 to £50,000 Data Entry Specialist – £18,000 to £25,000 Python Developer (Data Focus) – £35,000 to £55,000 Database Administrator – £30,000 to £48,000

Implement OTA programming, FreeRTOS and deep sleep in the ESP32

This course is designed for candidates looking to demonstrate foundational-level knowledge of cloud services of Microsoft Azure by clearing the AZ-900 Microsoft Azure fundamentals exam. The course is recommended for job seekers looking for a career in the cloud domain.