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5742 Software courses in London delivered Online

WebServer & Custom Load Balancer

4.8(9)

By Skill Up

Master NGINX, a powerful web server and load balancer, to build and manage high-performance, scalable, and secure web applications.

WebServer & Custom Load Balancer
Delivered Online On Demand9 hours 59 minutes
£25

Data Science with Python

4.9(27)

By Apex Learning

Overview This comprehensive course on Data Science with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science with Python 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 Science with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science with Python 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 3 sections • 6 lectures • 01:15:00 total length •Module 01: Introduction to Python Data Science: 00:03:00 •Module 02: Environment Setup: 00:10:00 •Module 01: Numpy package for calculations: 00:16:00 •Module 02: Panda package for Data cleaning: 00:19:00 •Module 01: Matplotlib Data Visualization Part 1: 00:16:00 •Module 02: Matplotlib Data Visualization Part 2: 00:11:00

Data Science with Python
Delivered Online On Demand1 hour 15 minutes
£12

Cocos2d-x v3 JavaScript: Game Development

4.9(27)

By Apex Learning

Overview This comprehensive course on Cocos2d-x v3 JavaScript: Game Development will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Cocos2d-x v3 JavaScript: Game Development 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 Cocos2d-x v3 JavaScript: Game Development. It is available to all students, of all academic backgrounds. Requirements Our Cocos2d-x v3 JavaScript: Game Development 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 16 sections • 86 lectures • 07:22:00 total length •What Is Cocos2d-x JavaScript?: 00:03:00 •Setting Up For iOS: 00:09:00 •Setting Up For Android on Mac: 00:12:00 •Setting For Android on Windows: 00:13:00 •Setting Up For the Web: 00:07:00 •Multi Resolution Support: 00:18:00 •Adding a Sprite: 00:07:00 •Positioning Using MoveTo: 00:05:00 •Positioning Using MoveBy: 00:06:00 •Positioning Using JumpTo: 00:03:00 •Positioning Using JumpBy: 00:04:00 •Positioning Using BezierTo: 00:04:00 •Positioning Using BezierBy: 00:04:00 •Positioning Using Place: 00:04:00 •Repeat: 00:04:00 •RepeatForever: 00:04:00 •Scaling Using ScaleTo: 00:04:00 •Scaling Using ScaleBy: 00:04:00 •Tinting Using TintTo: 00:04:00 •Tinting Using TintBy: 00:04:00 •Fading Using FadeTo: 00:04:00 •Fading Using FadeIn: 00:03:00 •Fading Using FadeOut: 00:03:00 •Skewing Using SkewTo: 00:05:00 •Skewing Using SkewBy: 00:04:00 •Rotating Using RotateTo: 00:03:00 •Rotating Using RotateBy: 00:03:00 •Sequence: 00:04:00 •Playing Sound Effects: 00:07:00 •Playing Sound Effects Repeatedly: 00:03:00 •Setting Sound Effect Volume: 00:03:00 •Stopping Sound Effects: 00:05:00 •Playing Music: 00:05:00 •Stopping Music: 00:05:00 •Pausing and Resuming Music: 00:05:00 •Setting Music Volume: 00:03:00 •Setting Up Single Touch Events: 00:05:00 •Single Touch Began: 00:06:00 •Single Touch Moved: 00:04:00 •Single Touch Ended: 00:04:00 •Setting Up Multi Touch Events: 00:03:00 •Multi Touch Began: 00:04:00 •Multi Touch Moved: 00:03:00 •Multi Touch Ended: 00:04:00 •Setting up Mouse Events: 00:03:00 •Mouse Button Pressed: 00:03:00 •Mouse Button Released: 00:03:00 •Mouse Moved: 00:03:00 •Mouse Wheel Scrolled: 00:03:00 •Setting up Keyboard Events: 00:03:00 •Keyboard Key Pressed: 00:04:00 •Keyboard Key Released: 00:04:00 •Setting up Accelerometer Events: 00:05:00 •Using the Accelerometer: 00:04:00 •Setting up A Menu: 00:02:00 •Adding a Menu Font Item: 00:07:00 •Adding a Menu Image Item: 00:05:00 •Menu Alignment: 00:03:00 •Creating a New Scene: 00:03:00 •Pushing a Scene: 00:06:00 •Popping a Scene: 00:04:00 •Replacing a Scene: 00:04:00 •Scene Transitions: 00:05:00 •Node Action Animations: 00:05:00 •Scheduling: 00:07:00 •Debug Information: 00:05:00 •Remove Child: 00:05:00 •LabelTTF: 00:05:00 •LabelAtlas: 00:05:00 •LabelBMFont: 00:07:00 •UIButton: 00:07:00 •UICheckBox: 00:09:00 •UIImageView: 00:04:00 •UILabelAtlas: 00:06:00 •UILabelBMFont: 00:06:00 •UILabel: 00:04:00 •UIListView: 00:10:00 •UILoadingBar: 00:09:00 •UIRichText: 00:08:00 •UIScrollView: 00:08:00 •UISlider: 00:09:00 •UITextField: 00:10:00 •UILayout: 00:07:00 •UIPageView: 00:11:00 •Resource: 00:00:00 •Assignment - Cocos2d-x v3 JavaScript: Game Development: 00:00:00

Cocos2d-x v3 JavaScript: Game Development
Delivered Online On Demand7 hours 22 minutes
£12

Data Science with Python

4.9(27)

By Apex Learning

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! 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? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Data Science with Python
Delivered Online On Demand10 hours 19 minutes
£12

Spatial Data Visualization and Machine Learning in Python Level 4

4.9(27)

By Apex Learning

Overview This comprehensive course on Spatial Data Visualization and Machine Learning in Python Level 4 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Spatial Data Visualization and Machine Learning in Python Level 4 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? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Spatial Data Visualization and Machine Learning in Python Level 4. It is available to all students, of all academic backgrounds. Requirements Our Spatial Data Visualization and Machine Learning in Python Level 4 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 8 sections • 21 lectures • 04:40:00 total length •Introduction: 00:14:00 •Python Installation: 00:03:00 •Installing Bokeh: 00:04:00 •Data Preparation: 00:24:00 •Creating a Bar Chart: 00:18:00 •Creating a Line Chart: 00:12:00 •Creating a Doughnut Chart: 00:22:00 •Creating a Magnitude Plot: 00:31:00 •Creating a Geo Map Plot: 00:20:00 •Creating a Grid Plot: 00:12:00 •Data Pre-processing: 00:21:00 •Building a Predictive Model: 00:21:00 •Building a Prediction Dataset: 00:07:00 •Adding predicted data to our plots - Part 1: 00:13:00 •Adding predicted data to our plots - Part 2: 00:14:00 •Adding predicted data to our plots - Part 3: 00:15:00 •Adding the Grid Plot: 00:08:00 •Installing Visual Studio Code: 00:01:00 •Creating the Project and Virtual Environment: 00:08:00 •Building and Running the Server: 00:12:00 •Resources: 00:00:00

Spatial Data Visualization and Machine Learning in Python Level 4
Delivered Online On Demand4 hours 40 minutes
£12

Diploma in Internet Security Management

4.7(160)

By Janets

Diploma in Internet Security Management is one of our best selling and most popular course. This course is suitable for anyone aspiring to or already working in Internet Security and looks at skills needed to improve Internet Security. By taking this course you will gain the necessary skills to perform effectively in this field. The Diploma in Internet Security Management is organised into 21 units and includes everything you need to become successful in this profession. To make this course more accessible for you, we have designed it for both part-time and full-time students. You can study at your own pace or become an expert in just 14 hours! If you require support, our experienced tutors are always available to help you throughout the comprehensive syllabus of this course and answer all your queries through email. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays 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 Mock exams Multiple-choice assessment Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post.

Diploma in Internet Security Management
Delivered Online On Demand13 hours 55 minutes
£9.99

AWS Solutions Architect & SysOps Administrator

5.0(1)

By Course Gate

In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This AWS Solutions Architect & SysOps Administrator will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The AWS Solutions Architect & SysOps Administrator will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to AWS Solutions Architect & SysOps Administrator and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited AWS Solutions Architect & SysOps Administrator is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this AWS Solutions Architect & SysOps Administrator. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path The AWS Solutions Architect & SysOps Administrator will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum AWS Tutorial | Course Introduction AWS Tutorial Introduction 00:02:00 What You Will Become 00:01:00 Cloud Computing Basics - Introducing IaaS, PaaS & SaaS Service Models Cloud Computing Introduction 00:07:00 Cloud service models 00:10:00 Cloud Deployment Models 00:05:00 Pre-Requisites - Key Skills Required Before Get Started with AWS Linux Basics 00:02:00 AWS Free Tier Account 00:01:00 Desire to adopt Cloud Model 00:01:00 AWS Global Infrastructure AWS Regions 00:03:00 Availability Zones 00:06:00 EC2 Basics- Virtual Servers in AWS Cloud What is Amazon EC2? 00:03:00 How to Create EC2 Instance - Linux 00:13:00 How to Create EC2 Instance - Windows 00:06:00 How to configure EC2 Instance? 00:15:00 Instance States 00:05:00 EC2 Instance Types 00:08:00 EC2 Pricing Models 00:17:00 Networking Basics - Basics of Network Topology and IP address classes Know Networking Terms - IP, Port, Protocol, Service, Daemon 00:15:00 Apache HTTP Server 00:19:00 VPC - Configure Custom Virtual Private Cloud in the AWS Cloud Build Your Own Datacenter 00:04:00 What is AWS VPC? 00:04:00 Create Custom VPC 00:07:00 Create Custom VPC - LAB 00:17:00 Private Subnet Vs Public Subnet 00:08:00 Private Subnet Vs Public Subnet - LAB 00:15:00 VPC Peering Connections 00:04:00 VPC Peering Connections - LAB 00:11:00 Network ACLs Vs Security Groups 00:09:00 Virtual Private Network (VPN) 00:03:00 EC2 Advanced - Virtual Servers in AWS Cloud EC2 Instance Meta Data 00:03:00 How to Manage Instance Settings 00:07:00 BootStrap EC2 instances 00:05:00 AMI - Create, Copy & Manage Permissions 00:10:00 EC2 Placement Groups 00:05:00 Public IP Vs. Elastic IP 00:03:00 EC2 Summary 00:05:00 Introduction to Elastic Block Store - EBS 00:06:00 Instance Store Volumes 00:06:00 EBS Snapshots 00:03:00 Cloud Watch Basics - Monitor AWS Resources & Applications Performance Cloud Watch Metrics 00:04:00 Cloud Watch Dashboards 00:03:00 Cloud Watch Alarms 00:05:00 Simple Notification Service SNS Introduction 00:03:00 Create Topic & Subscriptions to the Topic 00:03:00 Cloud Watch Alarms - LAB 00:11:00 Certificate Manager - Provision, Manage & Deploy SSL/TLS Certificates Data Encryption Introduction & Types 00:04:00 Create SSL/TLS Certificates - LAB 00:05:00 Route 53 - Scalable DNS and Domain Registration What is Route 53? | How DNS works? 00:06:00 How to Create Hosted Zone 00:07:00 DNS Record Types 00:07:00 Route53 Health Checks 00:03:00 Load Balancing - High Availability Solution for the Applications & Servers High Availability & Load Balancer - Architecture 00:16:00 Classic Load Balancer 00:08:00 Application Load Balancer 00:15:00 Network Load Balancer 00:06:00 Auto Scaling - Scale EC2 instances Proportion to Application Load What is Auto Scaling? 00:08:00 Auto Scaling Group - Architecture 00:08:00 Auto Scaling Group with ELB Association 00:08:00 Create launch Configuration 00:03:00 Create Auto Scaling group 00:16:00 S3 - Scalable Object Storage in the AWS Cloud What is S3? 00:08:00 Create First S3 Bucket 00:03:00 Create First S3 Object 00:04:00 S3 Storage Classes 00:06:00 S3 Versioning 00:10:00 S3 Life Cycle Management 00:08:00 IAM - Manage User Access and Encryption Keys What is IAM ? | IAM Architecture 00:12:00 IAM User, IAM Group - LAB 00:11:00 IAM Policy - LAB 00:07:00 IAM Role - LAB 00:04:00 S3 Cross-Region Replication - LAB 00:10:00 IAM MFA & Security Best Practices 00:07:00 AWS CLI - Manage AWS Services & Resources through AWS CLI How to Install AWS CLI on Windows Systems 00:05:00 How to Install AWS CLI on Linux 00:03:00 Explore AWS CLI Real-time Use Cases 00:07:00 Key Management Service - Generate & Manage AWS Encryption Keys KMS Architecture 00:05:00 Key Management Service (LAB) 00:05:00 EBS Volume Encryption 00:02:00 S3 Encryption 00:02:00 EFS - Managed Network File Storage for EC2 EFS Architecture 00:04:00 Create EFS 00:05:00 Mount on EC2 Instances 00:04:00 S3 Glacier - Data Archival Solution in the AWS Cloud What is S3 Glacier? 00:02:00 Create Vault 00:02:00 Retrieval Policies 00:03:00 Cloud Watch Advanced - Monitor AWS Resources & Applications Performance Cloud Watch Logs 00:13:00 Cloud Watch Custom Metrics 00:04:00 Cloud Watch Events 00:07:00 Cloud Front - Global Content Delivery Network Cloud Front Architecture 00:05:00 Create Cloud Front Distribution - LAB 00:05:00 Cloud Trail - Track IAM user activity & API Usage What is Cloud Trail 00:02:00 Create Trail - LAB 00:05:00 Lambda - Run Code without Thinking About Code | Serverless Architecture What is AWS Lambda? 00:06:00 Getting started with AWS Lambda - LAB 00:08:00 RDS RDS Introduction 00:05:00 Get started with RDS - LAB 00:07:00 DynamoDB Create DynamoDB Table 00:02:00 API Gateway - Build, Deploy & Manage APIs API Gateway Architecture 00:06:00 Create an API - LAB 00:06:00 API Gateway Realtime Use Case 00:03:00 Elastic Beanstalk What is Elastic Beanstalk? 00:06:00 Create a web app - LAB 00:06:00 Cloud Formation - Create & Manager resources with Cloud Formation Templates What is Cloud Formation? 00:06:00 Create Stack - LAB 00:11:00 Cloud Formation Designer - LAB 00:07:00 Systems Manager - Session Manager, Run Command, Parameter Store, Patch Manager What is a Systems Manager? 00:09:00 Session Manager 00:03:00 Run Command 00:06:00 Patch Manager 00:03:00 Secrets Manager - Rotate, Manage & Retrieve Secret through their life cycle What is Secrets Manager? 00:03:00 Store a new secret in Secrets Manager - LAB 00:03:00 Secrets Manager Use Cases 00:02:00 Inspector - Analyze Application Security & Report Inspector Architecture 00:05:00 Inspector Install Run Analyze - LAB 00:06:00 LightSail - Launch & Manage Virtual Private Servers LightSail Architecture 00:05:00 Get Started with LightSail! 00:04:00 AWS Limitations AWS Free Tier Limitations 00:04:00 AWS Service Limits 00:04:00 AWS Cost Explorer What is AWS Cost Explorer? How to Analyze Cost Report? 00:04:00 AWS Support AWS Support Plans 00:04:00 How to raise support tickets with AWS? 00:03:00 AWS Trusted Advisor What is AWS Trusted Advisor? 00:06:00 AWS Project - Realtime 3-Tier Architecture AWS Project - 3-Tier Architecture Deep Drive 00:11:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

AWS Solutions Architect & SysOps Administrator
Delivered Online On Demand12 hours 47 minutes
£11.99

Deep Learning Projects - Convolutional Neural Network Course

By One Education

Ever wondered how machines recognise faces, detect traffic signs, or even tag photos with uncanny accuracy? This course dives straight into the heart of Convolutional Neural Networks (CNNs) – the very engine behind image recognition and deep learning breakthroughs. With a clear focus on project-based learning, you’ll explore how CNNs work, how they’re built, and how they’re trained to see and interpret the world digitally. The content flows logically and stays rooted in clarity, making even the most complex architectures feel almost polite. This is not just a sequence of slides and jargon. It’s a well-structured digital journey tailored for learners who want to confidently grasp how deep learning models behave and evolve. Whether you're brushing up on your neural network knowledge or aiming to reinforce your AI expertise, the course serves up algorithms, code walkthroughs and layered insights with a tone that’s informative, direct, and occasionally dry-witted. If you fancy turning raw data into pixel-level predictions using nothing but code, logic, and neural layers — you’re exactly where you need to be. Learning Outcomes: Gain a solid understanding of convolutional neural networks and their applications in deep learning. Learn how to install the necessary packages and set up a dataset structure for deep learning projects. Discover how to create your own convolutional neural network model and layers using Python. Understand how to preprocess and augment data for advanced image recognition tasks. Learn how to evaluate the accuracy of your models and understand the different models available for deep learning projects. The Deep Learning Projects - Convolutional Neural Network course is designed to provide you with the skills and knowledge you need to build your own advanced deep learning projects. Using Python, you'll learn how to install the necessary packages, set up a dataset structure, and create your own convolutional neural network model and layers. You'll also learn how to preprocess and augment data to enhance the accuracy of your models and evaluate the performance of your models using data generators. Deep Learning Projects - Convolutional Neural Network Course Curriculum Section 01: Introduction Section 02: Installations Section 03: Getting Started Section 04: Accuracy How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data analysts who want to expand their skills in deep learning and convolutional neural networks. Programmers who want to learn how to build advanced models for image recognition. Entrepreneurs who want to develop their own deep learning-based applications for image recognition. Students who want to enhance their skills in deep learning and prepare for a career in the field. Anyone who wants to explore the world of convolutional neural networks and deep learning projects. Career path Data Analyst: £24,000 - £45,000 Machine Learning Engineer: £28,000 - £65,000 Computer Vision Engineer: £30,000 - £70,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Deep Learning Projects - Convolutional Neural Network Course
Delivered Online On Demand1 hour
£12

Online Gaming Course

By iStudy UK

Guide to the all new world of Games on Social Websites If you are lacking ideas on how the gaming world works online? Then you should definitely try out this course. Whether you are a game developer or a simply a person who enjoys playing games online on social sites, then this course will be very helpful to you. Learn about playing games on social websites on multiple platform such as your phones or desktop. There have been plenty of games on social sites that have taken the world by storm. Everyone is addicted to it. Some of the most popular games include Candy Crush Saga, 8 Ball Pool, Subway Surfers and many more. Launch your own game and make people fall in love with it or simply enjoy the most popular games that are available right now on any social sites. This course will give the guide you need to games that you will find interesting on social websites. Everyone has their own favourite games and this course will help you find the one that you will like the most. Gain valuable knowledge on Social Site Gaming and you could be launching your game very soon. Course Highlights Online Gaming Course is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Online Gaming Course into 9 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 8 hours, 10 minutes hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Online Gaming Course Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Online Gaming Course is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Online Gaming Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Introduction 01:00:00 How to Use the Application Launcher 00:30:00 Farmville on Facebook 01:00:00 Facebook Words with Friends 01:00:00 Facebook Social City 01:00:00 Finding Free Social Games 01:00:00 Being A Hero In Social Site Game 00:30:00 The Best Social Site Games 01:00:00 How to separate learning myths from reality 00:30:00 Mock Exam Mock Exam- Online Gaming Course 00:20:00 Final Exam Final Exam- Online Gaming Course 00:20:00

Online Gaming Course
Delivered Online On Demand8 hours 10 minutes
£25

Web 3.0 Training

By iStudy UK

Enter the all new world of Web 3.0 You most likely heard about Web 2.0. For many, Web 2.0 is characterized mainly by the ability of users to share information quickly with others, which has been developed into the phenomenon that we call social media. However that is old news. Now step in to the world of Web 3.0 and learn what you need to know about Web 3.0 through this useful course. Web 3.0 is being referred to by experts as the semantic web; semantic meaning data driven. The data will come from the user and the web will essentially adjust to meet the needs of the user. The web 3.0 is an advantageous application that enables the client to eliminate many included steps and gets the required data in the division of the time required for the more traditional style of browsing. A huge benefit of Web 3.0 is the move towards being able to access data from anywhere. This is mainly being driven by the heavy usage of smart phones and cloud applications. Through this course, you will be introduced to web 3.0. You will also go through the process of shifting from web 2.0 to 3.0. Web 3.0 isn't here just yet, but when it does come, you should know what's coming at you! This course will help you get this valuable knowledge. Course Highlights Web 3.0 Training is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Web 3.0 Training into 7 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 3 hours, 15 minutes hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Web 3.0 Training Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Web 3.0 Training is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Web 3.0 Training is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Web 3.0 Training Introduction To Web 3.0 00:30:00 How To Move From Web 2.0 to Web 3.0 00:30:00 The Characteristic Of Web 3.0 00:30:00 What Is Mechanics Of Web 3.0 00:30:00 What Is Semantic Web - The Concept Behind Web 3.0 00:30:00 What Comes After Web 3.0? 00:30:00 Wrapping Up 00:15:00

Web 3.0 Training
Delivered Online On Demand3 hours 15 minutes
£25