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Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

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Whether you want to become a leader in managing a business or even start your own business, this Mini MBA will be ideally suited for you. The course can be an outstanding preparation for you before stepping into full MBA studies as this course assists you by providing comprehensive essential business teachings. This course also includes different topics that are conclusive to fill your present business information gap. If you're hoping to enhance your business management skills for taking your career to the correct path and becoming more profitable in this profession, then welcome to join this course. 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All our courses offer 12 months access and are designed to be studied at your own pace so you can take as much or as little time as you need to complete and gain the full CPD accredited qualification. And, there are no hidden fees or exam charges. We pride ourselves on having friendly and experienced instructors who provide full weekday support and are ready to help with any of your queries. So, if you need help, just drop them an email and await a speedy response. Furthermore, you can check the validity of your qualification and verify your certification on our website at anytime. So, why not improve your chances of gaining professional skills and better earning potential. Assessment and Certification At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. After you have successfully passed the final exam, you will be able to order an Accredited Certificate of Achievement at an additional cost of £19 for a PDF copy and £29 for an original print copy sent to you by post or for both £39. Career Path Not only does our CPD and CiQ accredited course look good on your CV, setting you apart from the competition, it can be used as a stepping stone to greater things. Further advance your learning, launch a new career or reinvigorate an existing one. On successful completion of this course, you have the potential to achieve an estimated salary of £82,000. The sky really is the limit. Course Curriculum Module 1:- Business Planning and Analysis Business Planning Basics 01:00:00 Market Evaluation 01:00:00 Analyze Competition 01:00:00 Determine A Marketing Strategy 01:00:00 Decide What Extras You May Need Like Staff etc 00:30:00 The Dangers In Not Making A Business Plan 00:15:00 Module 2: -Business Administration and Branding Introduction 00:15:00 Make Yourself Well Recognised Before Your Customers 00:30:00 Wow Your Customers 00:30:00 Develop a Personal Style 00:30:00 Use Creative Imageries to Catch the Attention 00:30:00 Be a Traditionalist, Not a Fad Chaser 00:15:00 Bringing Out the Purple Cow in Your Business 00:30:00 Conclusion 00:15:00 Module 3: - Business Succession Planning Getting Started 00:30:00 Succession Planning Vs. Replacement Planning 01:00:00 Preparing for the Planning Process 01:00:00 Initiating Process 00:00:00 The SWOT Analysis 01:00:00 Developing the Succession Plan 01:00:00 Executing the Plan 00:30:00 Gaining Support 00:30:00 Managing the Change 01:00:00 Overcoming Roadblocks 01:00:00 Reaching the End 01:00:00 Wrapping Up 00:15:00 Module 4: -Business Development Budgeting Businesses Budgeting Basics 00:15:00 Steps To Better Business Budgeting 00:15:00 How And What To Consider When Preparing A Business Plan And Budget 01:00:00 The Ins And Outs Of Corporate Budgeting 00:15:00 Including Social Business Budgets In The Plan 00:15:00 Impacts Of Debts On Business Budgets 00:15:00 Managing Business Budgets And Finances Together 01:00:00 Module 5: -Management Introduction to Management 01:00:00 How to Build Trust and Confidence 01:00:00 A Manager's Pitfalls 01:00:00 How to Build Team Spirit 01:00:00 Dealing with Problem Employees 01:00:00 Using Your Emotional Intelligence 00:30:00 Conclusion to Management 00:15:00 Module 6:- Business Management Skills Business Plan Basics 00:30:00 The Executive Summary 01:00:00 The Mission Statement 00:30:00 Exploring Financial Needs 00:30:00 Evaluating Competition 01:00:00 The Troubles You Can Run Into Without The Proper Business Plan 00:30:00 Wrapping Up 00:15:00 Module 7: Project Management Introduction 01:00:00 Can You Manage Yourself Out Of A Paper Bag? 00:30:00 Setting the Stage for a Successful Project 01:00:00 The Importance of Developing and Managing A Budget 00:30:00 Taking Action - Execution of the Plan 01:00:00 Rules to Manage The Projects 01:00:00 Your Personality and Project Management Style 01:00:00 The Cycle of Decision Making 01:00:00 Getting Your Project Back On Track 01:30:00 Keeping It Moving Forward 01:00:00 Problems and Solutions in Project Management 01:00:00 Module 8: HR and Leadership Management Leader and HR Management 00:30:00 Commitment and HR Management 01:00:00 Team Management 00:30:00 Build A Mastermind Group 02:00:00 People Recognition in HR Management 00:30:00 Performance, Goals and Management 00:30:00 Think Outside The Box 00:30:00 Be Passionate about Your Work 00:30:00 The Importance Of A Good Team Leader 00:30:00 Module 9: Business Systemization Introduction 00:30:00 The Idea of Systemizing Your Business 01:00:00 Why You Should Systemize Your Business 01:00:00 A Lesson Learned From The Book 'The E-Myth' 01:00:00 So, How Do I Create This Wonderful Business System? 01:00:00 Outsourcing As a Way of Systemizing Your Business 00:30:00 How to Keep It Growing: The Systemized Business 01:00:00 Some General Ideas To Consider As You Systemize Your Business 00:30:00 Conclusion 00:15:00 Module 10: - Business Ethics Fundamentals Getting Started To Business Ethics 00:15:00 What is Ethics? 01:00:00 Implementing Ethics in the Workplace 00:30:00 Employer/Employee Rights 01:00:00 Business & Social Responsibilities 01:00:00 Ethical Decisions 01:00:00 Whistle Blowing 00:30:00 Managerial Ethics 00:30:00 Unethical Behavior 00:30:00 Ethics in Business (I) 01:00:00 Ethics in Business (II) 00:30:00 Wrapping Up 00:15:00 Module 11: Sales Analysis and Sales What Is A Sales Funnel? 00:30:00 What is Internet Commerce 00:30:00 What Can I Sell 00:30:00 Clickbank 00:30:00 Drop Shipping 00:30:00 Affiliate Marketing 00:30:00 The Link Between Products, Key Words and Prospects 00:15:00 The Front-end and Back-end of Sales Funnels 00:30:00 Sales Funnel Success 00:30:00 Sales Funnel Planning 00:30:00 Putting Your Theory to Practice 00:30:00 Content Marketing 00:30:00 Article Marketing 01:00:00 Google's Adwords Program 00:30:00 Marketing Offline 00:30:00 Blogs 00:30:00 Social Media 00:30:00 Auto Responders 00:30:00 The Joint Venture 00:30:00 Measuring Success 00:30:00 Top Sales Funnel Products 00:30:00 Mock Exam Mock Exam- Mini MBA 00:30:00 Final Exam Final Exam- Mini MBA 00:30:00

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

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