2835 Intelligence courses in Cardiff delivered Online

Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Master Oracle Multitenant architecture in this course. Learn about database architecture, PDB creation, user management, backup and recovery, resource management, data pump utility, application containers, CDB fleet, PDB snapshots, and DBCA PDB cloning. This course is designed for intermediate-level participants.

Teacher Training Diploma Level 5 course equips learners with essential teaching skills and knowledge to excel in the education sector. It provides comprehensive insights into effective teaching methodologies, psychology in teaching, and strategies for managing diverse classroom situations.

Dive deep into the vast realm of Python data science with our meticulously crafted course: 'Python Data Science with Numpy, Pandas and Matplotlib'. Explore the intricate details of Python, setting the stage with Pandas and Numpy, before delving into the power of Python data structures. With topics ranging from Python Strings to Matplotlib Histograms, you'll gain a holistic insight, ensuring that every dataset you touch unveils its story compellingly. So, if you're keen on transmuting raw data into visual masterpieces or insights, this journey is tailor-made for you. Learning Outcomes Grasp foundational knowledge of Python and its data structures like strings, lists, and dictionaries. Understand the potential of NumPy, from basic array operations to handling multi-dimensional arrays. Master the versatility of Pandas, encompassing everything from dataframe conversions to intricate operations like aggregation and binning. Efficiently manage, manipulate, and transform data using Pandas' diverse functionalities. Create visually striking and informative graphs using the power of Matplotlib. Why buy this Python Data Science with Numpy, Pandas and Matplotlib course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Python Data Science with Numpy, Pandas and Matplotlib there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Python Data Science with Numpy, Pandas and Matplotlib course for? Beginners eager to jumpstart their journey in Python data science. Analysts looking to enhance their data manipulation skills using Python. Statisticians keen on expanding their toolset with Python-based libraries. Data enthusiasts desiring a deep dive into Python's data libraries and structures. Professionals aiming to upgrade their data visualisation techniques. Prerequisites This Python Data Science with Numpy, Pandas and Matplotlib does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Data Science with Numpy, Pandas and Matplotlib was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Scientist: £40,000 - £80,000 Python Developer: £35,000 - £70,000 Data Analyst: £30,000 - £55,000 Business Intelligence Analyst: £32,000 - £60,000 Research Analyst: £28,000 - £52,000 Data Visualization Engineer: £33,000 - £65,000 Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:09:00 Introduction to Python, Pandas and Numpy Introduction to Python, Pandas and Numpy 00:07:00 System and Environment Setup System and Environment Setup 00:08:00 Python Strings Python Strings - Part 1 00:11:00 Python Strings - Part 2 00:09:00 Python Numbers and Operators Python Numbers and Operators - Part 1 00:06:00 Python Numbers and Operators - Part 2 00:07:00 Python Lists Python Lists - Part 1 00:05:00 Python Lists - Part 2 00:06:00 Python Lists - Part 3 00:05:00 Python Lists - Part 4 00:07:00 Python Lists - Part 5 00:07:00 Tuples in Python Tuples in Python 00:06:00 Sets in Python Sets in Python - Part 1 00:05:00 Sets in Python - Part 2 00:04:00 Python Dictionary Python Dictionary - Part 1 00:07:00 Python Dictionary - Part 2 00:07:00 NumPy Library - Introduction NumPy Library Intro - Part 1 00:05:00 NumPy Library Intro - Part 2 00:05:00 NumPy Library Intro - Part 3 00:06:00 NumPy Array Operations and Indexing NumPy Array Operations and Indexing - Part 1 00:04:00 NumPy Array Operations and Indexing - Part 2 00:06:00 NumPy Multi-Dimensional Arrays NumPy Multi-Dimensional Arrays - Part 1 00:07:00 NumPy Multi-Dimensional Arrays - Part 2 00:06:00 NumPy Multi-Dimensional Arrays - Part 3 00:05:00 Introduction to Pandas Series Introduction to Pandas Series 00:08:00 Introduction to Pandas Dataframes Introduction to Pandas Dataframes 00:07:00 Pandas Dataframe conversion and drop Pandas Dataframe conversion and drop - Part 1 00:06:00 Pandas Dataframe conversion and drop - Part 2 00:06:00 Pandas Dataframe conversion and drop - Part 3 00:07:00 Pandas Dataframe summary and selection Pandas Dataframe summary and selection - Part 1 00:06:00 Pandas Dataframe summary and selection - Part 2 00:06:00 Pandas Dataframe summary and selection - Part 3 00:07:00 Pandas Missing Data Management and Sorting Pandas Missing Data Management and Sorting - Part 1 00:07:00 Pandas Missing Data Management and Sorting - Part 2 00:07:00 Pandas Hierarchical-Multi Indexing Pandas Hierarchical-Multi Indexing 00:06:00 Pandas CSV File Read Write Pandas CSV File Read Write - Part 1 00:05:00 Pandas CSV File Read Write - Part 2 00:07:00 Pandas JSON File Read Write Pandas JSON File Read Write Operations 00:07:00 Pandas Concatenation Merging and Joining Pandas Concatenation Merging and Joining - Part 1 00:05:00 Pandas Concatenation Merging and Joining - Part 2 00:04:00 Pandas Concatenation Merging and Joining - Part 3 00:04:00 Pandas Stacking and Pivoting Pandas Stacking and Pivoting - Part 1 00:06:00 Pandas Stacking and Pivoting - Part 2 00:05:00 Pandas Duplicate Data Management Pandas Duplicate Data Management 00:07:00 Pandas Mapping Pandas Mapping 00:04:00 Pandas Grouping Pandas Groupby 00:06:00 Pandas Aggregation Pandas Aggregation 00:09:00 Pandas Binning or Bucketing Pandas Binning or Bucketing 00:08:00 Pandas Re-index and Rename Pandas Re-index and Rename - Part 1 00:04:00 Pandas Re-index and Rename - Part 2 00:05:00 Pandas Replace Values Pandas Replace Values 00:05:00 Pandas Dataframe Metrics Pandas Dataframe Metrics 00:07:00 Pandas Random Permutation Pandas Random Permutation 00:08:00 Pandas Excel sheet Import Pandas Excel sheet Import 00:07:00 Pandas Condition Selection and Lambda Function Pandas Condition Selection and Lambda Function - Part 1 00:05:00 Pandas Condition Selection and Lambda Function - Part 2 00:05:00 Pandas Ranks Min Max Pandas Ranks Min Max 00:06:00 Pandas Cross Tabulation Pandas Cross Tabulation 00:07:00 Matplotlib Graphs and plots Graphs and plots using Matplotlib - Part 1 00:06:00 Graphs and plots using Matplotlib - Part 2 00:02:00 Matplotlib Histograms Matplotlib Histograms 00:03:00 Resource File Resource File - Python Data Science with Numpy, Pandas and Matplotlib 00:00:00

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

This course aims to provide a solid foundation for educators to stay current with the latest advancements in AI (ChatGPT) and prepare them to integrate these cutting-edge tools into their everyday teaching practices, transforming the educational experience for both them and their students.

Duration 3 Days 18 CPD hours This course is intended for Attendee roles might include: Software Developers/Programmers Data Scientists Machine Learning Engineers AI Researchers User Interface (UI) and User Experience (UX) Designers Technical Product Managers Technical Team Leads Overview Working in an interactive learning environment, led by our engaging AI expert you'll: Develop a strong foundational understanding of generative AI techniques and their applications in software development. Gain hands-on experience working with popular generative AI models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models. Master the use of leading AI libraries and frameworks, such as TensorFlow, Keras, and Hugging Face Transformers, for implementing generative AI models. Acquire the skills to design, train, optimize, and evaluate custom generative AI models tailored to specific software development tasks. Learn to fine-tune pre-trained generative AI models for targeted applications and deploy them effectively in various environments, including cloud-based services and on-premises servers. Understand and address the ethical, legal, and safety considerations of using generative AI, including mitigating biases and ensuring responsible AI-generated content. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Generative AI represents an exhilarating frontier in artificial intelligence, specializing in the creation of new data instances, imitation of real data, and content generation. Its remarkable capabilities facilitate automated content creation, enriched user experiences, and groundbreaking solutions across diverse industries, ultimately fueling efficiency and transcending technological limits. By harnessing the power of generative AI, developers can craft dynamic content, produce code and documentation, refine user interfaces, and devise customized recommendations, empowering them to construct highly efficient and custom solutions for a wide range of applications. Designed for experienced programmers, Turbocharge Your Code! Generative AI Boot Camp for Developers is a three-day workshop-style course that teaches you the latest skills and tools required to master generative AI models, transforming the way you approach software development. In today's fast-paced technological landscape, generative AI has emerged as a game-changer, with leading companies like NVIDIA, OpenAI, and Google leveraging its capabilities to push the boundaries of innovation. By learning how to harness the power of generative models such as GANs, VAEs, and Transformer models, you will be able to generate code, documentation, and tests, enhance user interfaces, and create dynamic content that adapts to user needs. Our comprehensive curriculum covers everything from the fundamentals of generative AI to advanced techniques and ethical considerations, including hands-on labs where you will develop and deploy custom models using state-of-the-art AI tools and libraries like TensorFlow and Hugging Face Transformers. Throughout the course you'll focus on practical application and collaboration, building confidence with personalized guidance and real-time feedback from our expert live instructor. Upon completion, you will be equipped with the knowledge and experience necessary to develop and implement innovative generative AI models across various industries, improving existing products, creating new applications, and gaining highly-valuable skills in the rapidly advancing field of AI. Additional course details: Nexus Humans Turbocharge Your Code! Generative AI Boot Camp for Developers (TTAI2305) 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 Turbocharge Your Code! Generative AI Boot Camp for Developers (TTAI2305) 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.

This video course will teach you the basics of Structured Query Language (SQL), such as writing SQL queries, creating and updating tables, and importing and exporting data from comma separated values (CSV) and Excel files. You'll also learn about the SQL and database skills you need to become a self-sufficient digital analyst or marketer who can extract marketing data from the backend without assistance.

Overview This comprehensive course on CompTIA Security+ (SY0-601) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This CompTIA Security+ (SY0-601) 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 CompTIA Security+ (SY0-601). It is available to all students, of all academic backgrounds. Requirements Our CompTIA Security+ (SY0-601) 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 14 sections • 164 lectures • 20:35:00 total length •Introduction to CompTIA Security+ SY0-601: 00:03:00 •About the CompTIA Security+ SY0-601 Exam: 00:03:00 •Defining Risk: 00:08:00 •Threats and Vulnerabilities: 00:07:00 •Threat Intelligence: 00:11:00 •Risk Management Concepts: 00:07:00 •Security Controls: 00:09:00 •Risk Assessments and Treatments: 00:06:00 •Quantitative Risk Assessments: 00:07:00 •Qualitative Risk Assessments: 00:04:00 •Business Impact Analysis: 00:09:00 •Data Types and Roles: 00:11:00 •Security and the Information Life Cycle: 00:09:00 •Data Destruction: 00:06:00 •Personnel Risk and Policies: 00:10:00 •Third-Party Risk Management: 00:09:00 •Agreement Types: 00:07:00 •Exam Question Review: 00:02:00 •Wiping Disks with the dd Command Lab: 00:06:00 •Ask Me Anything (AMA): 00:02:00 •Cryptography Basics: 00:16:00 •Data Protection: 00:09:00 •Cryptographic Methods: 00:07:00 •Symmetric Cryptosystems: 00:13:00 •Symmetric Block Modes: 00:08:00 •Asymmetric Cryptosystems: 00:13:00 •Diffie-Hellman: 00:07:00 •Hashing: 00:09:00 •Understanding Digital Certificates: 00:08:00 •Trust Models: 00:05:00 •Public Key Infrastructure: 00:04:00 •Certificate Types: 00:14:00 •Touring Certificates: 00:09:00 •Cryptographic Attacks: 00:05:00 •Password Cracking: 00:10:00 •Password Cracking Demo: 00:06:00 •Exam Question Review: 00:02:00 •SSH Public Key Authentication Lab: 00:09:00 •Ask Me Anything (AMA): 00:02:00 •Identification, Authentication, and Authorization: 00:08:00 •Enabling Multifactor Authentication: 00:05:00 •Authorization: 00:05:00 •Accounting: 00:05:00 •Authentication Methods: 00:14:00 •Access Control Schemes: 00:07:00 •Account Management: 00:13:00 •Network Authentication: 00:09:00 •Identity Management Systems: 00:06:00 •Exam Question Review: 00:02:00 •Creating LInux Users and Groups Lab: 00:06:00 •Ask Me Anything (AMA): 00:01:00 •Touring the CLI: 00:16:00 •Shells: 00:06:00 •The Windows Command Line: 00:05:00 •Microsoft PowerShell: 00:13:00 •Linux Shells: 00:12:00 •Python Scripts: 00:07:00 •Windows Command-Line Tools: 00:16:00 •Linux Command-Line Tools: 00:10:00 •Network Scanners: 00:05:00 •Network Scanning with Nmap: 00:09:00 •Network Protocol Analyzers: 00:08:00 •Using Wireshark to Analyze Network Traffic: 00:09:00 •Using tcpdump to Analyze Network Traffic: 00:08:00 •Log Files: 00:09:00 •Centralized Logging: 00:09:00 •Configuring Linux Log Forwarding: 00:08:00 •Exam Question Review: 00:03:00 •Lunux Shell Script Lab: 00:07:00 •Nmap Lab: 00:05:00 •Ask Me Anything (AMA): 00:02:00 •Malware: 00:14:00 •Weak Configurations: 00:12:00 •Common Attacks: 00:09:00 •Driver and Overflow Attacks: 00:08:00 •Password Attacks: 00:08:00 •Bots and Botnets: 00:06:00 •Disk RAID Levels: 00:10:00 •Securing Hardware: 00:11:00 •Securing Endpoints: 00:09:00 •Exam Question Review: 00:02:00 •Linux Software RAID Lab: 00:08:00 •Ask Me Anything (AMA): 00:02:00 •The OSI Model: 00:13:00 •ARP Cache Poisoning: 00:09:00 •Other Layer 2 Attacks: 00:05:00 •Network Planning: 00:07:00 •Load Balancing: 00:06:00 •Securing Network Access: 00:06:00 •Honeypots: 00:06:00 •Firewalls: 00:11:00 •Proxy Servers: 00:06:00 •Network and Port Address Translation: 00:07:00 •IP Security (IPsec): 00:09:00 •Virtual Private Networks (VPNs): 00:10:00 •Intrusion Detection and Prevention Systems (IDS/IPS): 00:13:00 •Exam Question Review: 00:03:00 •Linux Snort IDS Lab: 00:07:00 •Ask Me Anything (AMA): 00:01:00 •Wi-Fi Encryption Standards: 00:10:00 •RFID, NFC, and Bluetooth: 00:07:00 •Wi-Fi Coverage and Performance: 00:08:00 •Wi-Fi Discovery and Attacks: 00:12:00 •Cracking WPA2: 00:10:00 •Wi-Fi Hardening: 00:11:00 •Exam Question Review: 00:02:00 •WPA2 Cracking Lab: 00:06:00 •Ask Me Anything (AMA): 00:01:00 •Defining a Public Server: 00:01:00 •Common Attacks and Mitigations: 00:10:00 •Containers and Software-Defined Networking: 00:11:00 •Hypervisors and Virtual Machines: 00:08:00 •Cloud Deployment Models: 00:09:00 •Cloud Service Models: 00:08:00 •Securing the Cloud: 00:10:00 •Exam Question Review: 00:02:00 •Docker Container Lab: 00:04:00 •Ask Me Anything (AMA): 00:02:00 •Embedded Systems: 00:13:00 •Industrial Control System (ICS): 00:07:00 •Internet of Things (IoT) Devices: 00:10:00 •Connecting to Dedicated and Mobile Systems: 00:11:00 •Security Constraints for Dedicated Systems: 00:05:00 •Mobile Device Deployment and Hardening: 00:11:00 •Exam Question Review: 00:03:00 •Smartphone Hardening Lab: 00:03:00 •Ask Me Anything (AMA): 00:02:00 •Physical Security Overview: 00:01:00 •Physical Security: 00:10:00 •Keylogger Demo: 00:05:00 •Environmental Controls: 00:05:00 •Exam Question Review: 00:02:00 •Physical Security Lab: 00:03:00 •Ask Me Anything (AMA): 00:03:00 •DNS Security: 00:05:00 •FTP Packet Capture: 00:03:00 •Secure Web and E-mail: 00:02:00 •Request Forgery Attacks: 00:05:00 •Cross-Site Scripting Attacks: 00:07:00 •Web Application Security: 01:20:00 •Web App Vulnerability Scanning: 00:06:00 •Exam Question Review: 00:03:00 •OWASP ZAP Web App Scan Lab: 00:04:00 •Ask Me Anything (AMA): 00:02:00 •Testing Infrastructure Overview: 00:05:00 •Social Engineering: 00:06:00 •Social Engineering Attacks: 00:11:00 •Vulnerability Assessments: 00:09:00 •Penetration Testing: 00:10:00 •Security Assessment Tools: 00:12:00 •The Metasploit Framework: 00:08:00 •Exam Question Review: 00:02:00 •Hping3 Forged Packet Lab: 00:06:00 •Ask Me Anything (AMA): 00:02:00 •Incident Response Overview: 00:03:00 •Incident Response Plans (IRPs): 00:06:00 •Threat Analysis and Mitigating Actions: 00:08:00 •Digital Forensics: 00:12:00 •Gathering Digital Evidence: 00:10:00 •Business Continuity and Alternate Sites: 00:06:00 •Data Backup: 00:10:00 •Exam Question Review: 00:01:00 •Autopsy Forensic Browser Lab: 00:05:00 •Ask Me Anything (AMA): 00:02:00

A beginner's level course that will help you learn data engineering techniques for building metadata-driven frameworks with Azure data engineering tools such as Data Factory, Azure SQL, and others. You need not have any prior experience in Azure Data Factory to take up this course.