Amazon AWS Registration Form*AWS Courses and Descriptions *1. Machine Learning for Natural Language Processing Covers the use of machine learning to analyze and process human language. You'll learn how to build models using AWS services (like Amazon Comprehend, SageMaker) to perform tasks such as sentiment analysis, entity recognition, translation, and chatbot development. *2. Cloud Operations Focuses on managing and monitoring cloud-based systems. Topics include provisioning infrastructure, automating workflows, logging, performance monitoring, and ensuring availability and reliability using AWS services like CloudWatch, Systems Manager, and AWS Config. *3. Cloud Architecting Designed to teach you how to design scalable, secure, and highly available applications in the AWS cloud. You'll work with architectural best practices and services like VPC, EC2, S3, RDS, and Load Balancers to build end-toend cloud solutions. *4. Cloud Computing Architecture Explores the principles and components of cloud computing, including compute, storage, networking, and distributed system design. You’ll understand how these elements are structured in AWS to support business applications and workloads. *5. Cloud Developing Teaches how to build, deploy, and maintain applications in the cloud using AWS. Covers DevOps tools, serverless computing (Lambda), containerization (ECS/EKS), API Gateway, and integrating SDKs and CI/CD pipelines for automated development. *6. Data Engineering Focused on building data pipelines and transforming raw data into useful insights. You’ll learn to work with AWS services like Glue, Redshift, EMR, and Kinesis to ingest, clean, store, and query big data efficiently. *7. Cloud Foundation An introductory course that provides fundamental cloud computing knowledge. Ideal for non-technical or entry-level learners, it covers core AWS services, pricing models, cloud benefits, and basic security and compliance concepts. *8. Cloud Security Foundation Provides foundational knowledge on securing cloud infrastructure. Topics include IAM, encryption, data protection, compliance, and monitoring using AWS security tools like CloudTrail, KMS, GuardDuty, and Security Hub. *9. Machine Learning Foundation Introduces the basics of machine learning, including supervised and unsupervised learning, model training, and evaluation. You’ll explore how AWS services like SageMaker simplify ML workflows, even for beginners. *10. Engineering Operation Technician Prepares learners for maintaining and supporting IT infrastructure in data centers. Topics include hardware troubleshooting, cabling, racking, server diagnostics, and basic system/network administration — often applied in AWS data centers. *11. Data Centre Technician Focuses on the physical and technical operations of data centers. Covers tasks like installing servers, replacing hardware components, managing backups, conducting system health checks, and ensuring power and cooling efficiency.*Fill The Form Below Please:*Name*FirstMiddleLastOfficial Email( ..@fptb.edu.ng)*Phone*Department*I agree to REFUND 25% of what the Institute spend on me if I fail to complete the TrainingPropertiesSubmit *Form Fields Are Required!