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Master Cloud Technologies with AWS: Hands-On Training from Virtual Servers and Web Apps to AI Services and CI/CD Deployment with Real-World ProjectsWelcome to our comprehensive course on Cloud Computing with AWS! This course is designed to take you from a beginner to an advanced level, providing you with hands-on experience and practical knowledge of AWS services.This comprehensive cloud computing course provides a deep dive into AWS services and cloud technologies, tailored for both beginners and advanced learners. You will gain hands-on experience with AWS tools, serverless computing, and data analytics, equipping you with the skills needed for a successful career in cloud computing.Future Benefits and Career Opportunities: Mastering AWS and cloud technologies positions you at the forefront of one of the most dynamic fields in technology. As organizations across industries increasingly seek experts to manage cloud infrastructure, develop scalable applications, and implement advanced data solutions, this course prepares you for high-demand roles such as Cloud Architect, Cloud Engineer, DevOps Engineer, and Data Scientist. You'll be well-equipped for lucrative positions in technology companies, startups, and enterprise environments.Enhancing Employability: Gaining expertise in cloud computing enhances your employability by providing you with the tools to create innovative solutions. You'll learn to design and deploy scalable applications, manage serverless computing environments, and leverage advanced analytics and machine learning capabilities. This knowledge will enable you to contribute to projects that drive digital transformation and operational excellence.From the fundamentals to real-world applications, this course covers everything you need to master AWS and cloud technologies.Course Agenda:Introduction to Cloud Computing:Basics of cloud computingBenefits and models of cloud computingAWS Account Creation:Setting up your AWS accountNavigating the AWS Management ConsoleCloud Computing Essentials:Understanding cloud infrastructureKey AWS services overviewBudgets and IAM (Identity and Access Management):Managing AWS budgetsConfiguring IAM roles and permissionsVirtual Servers with EC2:Launching and managing EC2 instancesConfiguring instance types and security groupsLoad Balancer and Auto Scaling with EC2:Setting up load balancersConfiguring auto-scaling groupsWeb App Deployment with Elastic Beanstalk:Deploying web applications using Elastic BeanstalkManaging environments and versionsStorage Services in AWS:Working with Amazon S3Overview of EBS and GlacierDatabase Services in AWS:Using Amazon RDS and DynamoDBDatabase management and scalingAWS Lambda:Basics of serverless computing with LambdaCreating and deploying Lambda functionsImage Resizer with Lambda:Building an image resizing applicationIntegrating with S3SES and SNS Alerts with Lambda:Sending emails using SESConfiguring SNS for notificationsMicroservices, Containers, Event Bridge:Introduction to Microservices ArchitectureWorking with AWS Fargate and EventBridgeAmazon QuickSight:Data visualization and analytics with QuickSightCreating interactive dashboardsGlue ETL (Extract, Transform, Load):Setting up ETL pipelines with AWS GlueData transformation and loadingAWS Security:Using AWS Cognito for authenticationManaging secrets with AWS Secrets ManagerSecurity assessment with AWS InspectorNetworking and API Gateway Project with Lambda:Setting up API GatewayBuilding serverless APIs with LambdaAWS SageMaker and Machine Learning:SageMaker and machine learning workflowsUsing SageMaker Canvas for data science projectsAWS AI Services:Exploring AI services such as Rekognition, Polly, and ComprehendChatbot with AWS Lex:Building conversational bots with AWS LexIntegrating Lex with other AWS servicesAWS Developer Tools:Overview of AWS CodePipeline, CodeBuild, and CodeDeployImplementing CI/CD pipelinesAWS Amplify:Developing and deploying web and mobile applications with AmplifyConfiguring backend servicesVersion Control:Master version control with GIT and manage your repositories on GitHub.Automate your workflows with GitHub Actions for continuous integration and delivery.Real-World Projects:Census Income Prediction: To build and deploy a machine learning model for income prediction with CI/CD.Music Rating Recommender: Creating a recommendation system for music ratings.The course offers hands-on experience with real-world projects and practical skills directly applicable to the job market. By learning to manage cloud resources, data security, and efficient application deployment, you'll gain a valuable competitive edge. The skills acquired will help you adapt to the ever-evolving tech landscape, ensuring your expertise remains relevant and valuable.Benefits of Choosing this Program:Gain hands-on learning with Practical experienceGet Confirmation letterComprehensive weekly Live Interactive sessionsAccess all PPT, Source Code, and downloadablesEngage in 10+ capstone projects to enhance your skills and bolster your resume. Benefit from a full roadmap Mock interviews and job alerts, ensuring you're prepared for career success. Upon completion, you'll earn certifications.Top 100 Interview Questions with AnswerNo programming knowledge is required - the course covers everything from basics to advanced topics. Get ready to enhance your expertise in cloud computing and AWS, and set yourself up for a rewarding career in this dynamic and rapidly advancing field!As cloud computing continues to shape the future of technology, mastering these skills will position you as a valuable asset in the job market. Embrace the opportunity to learn from experts, work on real-world projects, and gain the confidence to tackle complex challenges. Whether you're starting your career or looking to enhance your current skill set, this course is your gateway to a successful and dynamic future in cloud computing.Achieve your career goals with comprehensive training and practical skills in cloud technologies. Enroll now to unlock your potential and advance in the dynamic field of cloud computing!

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