Master core AWS services and architect secure, high-performance cloud solutions through this comprehensive, industry-recognized certification training course.
Master core AWS services and architect secure, high-performance cloud solutions through this comprehensive, industry-recognized certification training course.
This comprehensive AWS certification training course provides in-depth knowledge of Amazon Web Services core technologies and architecture principles. Over six weeks, students gain expertise in essential AWS services including EC2, S3, VPC, and IAM, along with mastering AWS networking and security best practices for deploying robust, compliant cloud solutions. The curriculum covers advanced cloud architecture principles, teaching participants how to design scalable, fault-tolerant systems that meet enterprise requirements. Students explore AWS big data and machine learning services for implementing sophisticated data analytics workloads in the cloud. The course prepares participants for prestigious AWS certifications, including AWS Certified Solutions Architect - Professional, through a combination of theoretical instruction and hands-on practice using real AWS environments. The program is structured into six modules covering AWS foundations, networking mastery, security essentials, solution architecture, data analytics, and machine learning implementation. Each module includes practical labs, projects, and graded assessments to ensure comprehensive skill development. By completing this course, students will be equipped with the knowledge and practical experience needed to design, deploy, and optimize AWS-based solutions for a variety of business scenarios.
Instructors:
English
English
What you'll learn
Master fundamentals of cloud computing on AWS
Learn core AWS compute, storage, networking, and security services
Explore AWS infrastructure setup and operations
Implement advanced VPC design and connectivity options
Deploy AWS security controls and meet compliance requirements
Design high availability and fault tolerance architecture patterns
Skills you'll gain
This course includes:
PreRecorded video
Graded quizzes
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 6 modules in this course
This comprehensive course provides an in-depth exploration of Amazon Web Services (AWS), focusing on both core services and advanced cloud architecture principles. The curriculum is structured around six key modules that progress from fundamental concepts to specialized applications. Students begin with AWS foundations, learning essential cloud computing concepts and core AWS services. The networking module covers design, implementation, management, and security aspects of AWS networking. Security training includes threat detection, logging, monitoring, identity management, and data protection strategies. The architecture module focuses on designing scalable, fault-tolerant solutions, addressing organizational complexity, and accelerating workload migration. Students also explore specialized topics including data analytics, covering collection, storage, processing, and visualization on AWS, as well as machine learning implementation, from data engineering to model deployment. Throughout the course, participants engage with hands-on labs and projects using real AWS environments, preparing them for industry-recognized AWS certifications while developing practical skills applicable to real-world cloud computing scenarios.
Foundations of AWS
Module 1
Networking Mastery on AWS
Module 2
Fortifying Your Cloud: AWS Security Essentials
Module 3
Architecting for Excellence: AWS Solutions Architect Pro
Module 4
Unlocking Insights: AWS Data Analytics Specialty
Module 5
Machine Learning Mastery on AWS
Module 6
Fee Structure
Payment options
Financial Aid
Instructor

20 Courses
Pioneering Tech Leader & AI Educator Shaping the Future of Machine Learning
Noah Gift is a distinguished technology leader and founder of Pragmatic AI Labs with a remarkable 30-year career spanning film, TV, telecom, social networks, startups, and big data, currently serving as an Executive-in-Residence at Duke University. As an AWS ML Hero and Python Software Foundation Fellow, he has authored best-selling books through O'Reilly and Pearson on DevOps, MLOps, data engineering, and cloud computing that are widely adopted by major universities. His expertise in MLOps, data engineering, cloud architecture, and Rust programming has led him to teach thousands of students across prestigious institutions including Duke, Northwestern, UC Berkeley, University of San Francisco, and UC Davis, while also collaborating with Caltech and JPL on automated IT systems. Gift's impact extends beyond academia through his work as a startup CTO, his role in developing scalable distributed systems, and his contributions as a keynote speaker at conferences focused on cloud development and ethical AI use, holding certifications from AWS, Google, and Microsoft, and having published over 100 technical works while conducting workshops for organizations like NASA, PayPal, and PyCon.
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Frequently asked questions
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