240+ certificates & courses
Amazon Web Services certifications are the gold standard for cloud careers. AWS Educate offers free learning paths for students.
Ranked by rating and popularity
AWS (via Coursera) · Amazon Web Services (AWS)
AWS Cloud Technical Essentials is a comprehensive beginner-level resource offered by AWS, focused on building practical skills in cloud computing and DevOps. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in cloud computing and DevOps, including AWS/Azure/GCP, Docker, Kubernetes, Terraform, CI/CD, and Linux administration. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master core AWS services: EC2, S3, RDS, Lambda, IAM, VPC Deploy production workloads on AWS infrastructure Implement security and cost optimization best practices Prepare for AWS certifications (Cloud Practitioner, Solutions Architect) Duration: Estimated duration: 15 hours of content, designed to be completed in 2-3 weeks at a comfortable pace. No prior experience is required. This course starts from the absolute basics and gradually builds up complexity. A computer with internet access is all you need to get started. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into cloud computing and DevOps Freelancers wanting to add new services to their portfolio Self-learners passionate about cloud computing and DevOps and wanting structured guidance Pricing: The course content is free to access. A verified certificate is available for a fee. Completing this resource and building related skills can prepare you for roles such as DevOps Engineer, Cloud Engineer, SRE, Platform Engineer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 6-12 LPA Mid-level / 2-5 years: Rs 14-28 LPA Senior / 5+ years: Rs 30-60 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Amazon, Microsoft, Flipkart, Ola, Jio, Infosys. Cloud computing adoption in India is growing at 30% annually, with AWS, Azure, and GCP leading the market. The DevOps engineer role is consistently ranked among the top 3 highest-paying IT jobs in India. The shift to microservices, containers, and cloud-native architectures means every tech company needs DevOps expertise. India alone has 100,000+ unfilled cloud computing positions, making this a seller's market for skilled professionals. AWS is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
AWS (via Coursera) · Amazon Web Services (AWS)
AWS Cloud Solutions Architect Professional Certificate is a comprehensive intermediate-level resource offered by AWS, focused on building practical skills in cloud computing and DevOps. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a professional certificate program designed to validate your skills for employers. The curriculum has been developed in collaboration with industry experts to ensure it covers exactly what hiring managers look for. Upon completion, you'll receive a shareable certificate that you can add to your LinkedIn profile, include in your resume, and present during job interviews. Many recruiters at Indian tech companies specifically look for these credentials when screening candidates. This resource covers topics essential for success in cloud computing and DevOps, including AWS/Azure/GCP, Docker, Kubernetes, Terraform, CI/CD, and Linux administration. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master core AWS services: EC2, S3, RDS, Lambda, IAM, VPC Deploy production workloads on AWS infrastructure Implement security and cost optimization best practices Prepare for AWS certifications (Cloud Practitioner, Solutions Architect) Duration: Estimated duration: 80 hours of content, designed to be completed in 8-16 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into cloud computing and DevOps Freelancers wanting to add new services to their portfolio Self-learners passionate about cloud computing and DevOps and wanting structured guidance Pricing: The course content is free to access. A verified certificate is available for a fee. Completing this resource and building related skills can prepare you for roles such as DevOps Engineer, Cloud Engineer, SRE, Platform Engineer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 6-12 LPA Mid-level / 2-5 years: Rs 14-28 LPA Senior / 5+ years: Rs 30-60 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Amazon, Microsoft, Flipkart, Ola, Jio, Infosys. Cloud computing adoption in India is growing at 30% annually, with AWS, Azure, and GCP leading the market. The DevOps engineer role is consistently ranked among the top 3 highest-paying IT jobs in India. The shift to microservices, containers, and cloud-native architectures means every tech company needs DevOps expertise. India alone has 100,000+ unfilled cloud computing positions, making this a seller's market for skilled professionals. AWS is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
AWS (via Coursera) · Amazon Web Services (AWS)
AWS Cloud Solutions Architect Professional Certificate is a comprehensive intermediate-level resource offered by AWS, focused on building practical skills in cloud computing and DevOps. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a professional certificate program designed to validate your skills for employers. The curriculum has been developed in collaboration with industry experts to ensure it covers exactly what hiring managers look for. Upon completion, you'll receive a shareable certificate that you can add to your LinkedIn profile, include in your resume, and present during job interviews. Many recruiters at Indian tech companies specifically look for these credentials when screening candidates. This resource covers topics essential for success in cloud computing and DevOps, including AWS/Azure/GCP, Docker, Kubernetes, Terraform, CI/CD, and Linux administration. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master core AWS services: EC2, S3, RDS, Lambda, IAM, VPC Deploy production workloads on AWS infrastructure Implement security and cost optimization best practices Prepare for AWS certifications (Cloud Practitioner, Solutions Architect) Duration: Estimated duration: 80 hours of content, designed to be completed in 8-16 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into cloud computing and DevOps Freelancers wanting to add new services to their portfolio Self-learners passionate about cloud computing and DevOps and wanting structured guidance Pricing: The course content is free to access. A verified certificate is available for a fee. Completing this resource and building related skills can prepare you for roles such as DevOps Engineer, Cloud Engineer, SRE, Platform Engineer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 6-12 LPA Mid-level / 2-5 years: Rs 14-28 LPA Senior / 5+ years: Rs 30-60 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Amazon, Microsoft, Flipkart, Ola, Jio, Infosys. Cloud computing adoption in India is growing at 30% annually, with AWS, Azure, and GCP leading the market. The DevOps engineer role is consistently ranked among the top 3 highest-paying IT jobs in India. The shift to microservices, containers, and cloud-native architectures means every tech company needs DevOps expertise. India alone has 100,000+ unfilled cloud computing positions, making this a seller's market for skilled professionals. AWS is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
AWS (via edX) · Amazon Web Services (AWS)
AWS Cloud Technical Essentials - edX is a comprehensive beginner-level resource offered by AWS, focused on building practical skills in cloud computing and DevOps. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in cloud computing and DevOps, including AWS/Azure/GCP, Docker, Kubernetes, Terraform, CI/CD, and Linux administration. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master core AWS services: EC2, S3, RDS, Lambda, IAM, VPC Deploy production workloads on AWS infrastructure Implement security and cost optimization best practices Prepare for AWS certifications (Cloud Practitioner, Solutions Architect) Duration: Estimated duration: 15 hours of content, designed to be completed in 2-3 weeks at a comfortable pace. No prior experience is required. This course starts from the absolute basics and gradually builds up complexity. A computer with internet access is all you need to get started. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into cloud computing and DevOps Freelancers wanting to add new services to their portfolio Self-learners passionate about cloud computing and DevOps and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as DevOps Engineer, Cloud Engineer, SRE, Platform Engineer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 6-12 LPA Mid-level / 2-5 years: Rs 14-28 LPA Senior / 5+ years: Rs 30-60 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Amazon, Microsoft, Flipkart, Ola, Jio, Infosys. Cloud computing adoption in India is growing at 30% annually, with AWS, Azure, and GCP leading the market. The DevOps engineer role is consistently ranked among the top 3 highest-paying IT jobs in India. The shift to microservices, containers, and cloud-native architectures means every tech company needs DevOps expertise. India alone has 100,000+ unfilled cloud computing positions, making this a seller's market for skilled professionals. AWS is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
AWS (via Coursera) · Amazon Web Services (AWS)
AWS Machine Learning Specialization is a comprehensive intermediate-level resource offered by AWS, focused on building practical skills in artificial intelligence and machine learning. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in artificial intelligence and machine learning, including machine learning algorithms, deep learning, NLP, computer vision, and model deployment. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Build supervised and unsupervised ML models with scikit-learn Master regression, classification, and clustering algorithms Evaluate models using cross-validation and proper metrics Deploy ML models to production Duration: Estimated duration: 40 hours of content, designed to be completed in 4-8 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into artificial intelligence and machine learning Freelancers wanting to add new services to their portfolio Self-learners passionate about artificial intelligence and machine learning and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as ML Engineer, AI Engineer, Data Scientist, Research Scientist. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 8-15 LPA Mid-level / 2-5 years: Rs 18-35 LPA Senior / 5+ years: Rs 40-80 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Google, Microsoft, OpenAI, Indian AI startups, research labs. India is the second-largest AI talent pool globally, and the demand far exceeds supply. The Indian AI market is expected to reach $17 billion by 2027. Every major Indian tech company — from Infosys to Reliance to Jio — is investing heavily in AI capabilities. The emergence of generative AI has created entirely new job categories that didn't exist two years ago. ML engineers with LLM experience are commanding Rs 30-60 LPA even at early career stages. AWS is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
AWS (via edX) · Amazon Web Services (AWS)
AWS Developer: Building on AWS - AWS is a comprehensive intermediate-level resource offered by AWS, focused on building practical skills in cloud computing and DevOps. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in cloud computing and DevOps, including AWS/Azure/GCP, Docker, Kubernetes, Terraform, CI/CD, and Linux administration. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master core AWS services: EC2, S3, RDS, Lambda, IAM, VPC Deploy production workloads on AWS infrastructure Implement security and cost optimization best practices Prepare for AWS certifications (Cloud Practitioner, Solutions Architect) Duration: Estimated duration: 15 hours of content, designed to be completed in 2-3 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into cloud computing and DevOps Freelancers wanting to add new services to their portfolio Self-learners passionate about cloud computing and DevOps and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as DevOps Engineer, Cloud Engineer, SRE, Platform Engineer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 6-12 LPA Mid-level / 2-5 years: Rs 14-28 LPA Senior / 5+ years: Rs 30-60 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Amazon, Microsoft, Flipkart, Ola, Jio, Infosys. Cloud computing adoption in India is growing at 30% annually, with AWS, Azure, and GCP leading the market. The DevOps engineer role is consistently ranked among the top 3 highest-paying IT jobs in India. The shift to microservices, containers, and cloud-native architectures means every tech company needs DevOps expertise. India alone has 100,000+ unfilled cloud computing positions, making this a seller's market for skilled professionals. AWS is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Amazon Web Services · Other Courses (English)
Amazon Connect flows help companies create, personalize, and automate end-to-end customer and agent self-service experiences across channels. Flows eliminate manual processes while reducing expensive development and operational costs. In this course, you will learn the benefits, typical use cases, and core concepts of flows. You will explore real-world implementation scenarios and identify key considerations to plan secure and cost-effective Amazon Connect flows implementations.
AWS (via edX) · Amazon Web Services (AWS)
Exam Prep: AWS Certified Solutions Architect - Associate C03
Amazon Web Services · Amazon Web Services (AWS)
AWS Client VPN provides secure access to AWS resources in the cloud and on-premises networks from any location. This course contains two independent lessons: The first provides a step-by-step guide for setting up Client VPN as an administrator using the AWS Management Console and AWS Command Line Interface (AWS CLI). The second provides step-by-step instructions for Client VPN users to download and launch a VPN from their personal hardware.
AWS (via edX) · Amazon Web Services (AWS)
Solutions Architect Associate Exam Prep
Amazon Web Services · Generative AI & LLMs
This comprehensive learning plan is designed to equip you with the essential knowledge and skills to become an artificial intelligence and machine learning (AI/ML) practitioner proficient in leveraging AWS services and tools. This engaging experience covers a wide range of topics, including AI/ML concepts, generative AI technologies, real-world use cases, and an exploration of AWS AI/ML services and tools.
Amazon Web Services · Amazon Web Services (AWS)
This course introduces technical roles in the AWS Cloud and explains why the Public Cloud Computing model is the new normal. The instructors teach some of the terminologies that are needed to start a Cloud learning journey, covering topics such as the difference between IaaS, PaaS and SaaS, Cloud Computing models (Public, Private and Hybrid Cloud), what are APIs (and why they are important), elasticity, horizontal and vertical scaling. Then, we define the difference between relationship, availability, and milestone-oriented roles, and interview Amazon employees who provide their point of view of how is the day in a life of a Solutions Architect, Data Scientist, Software Developer Engineer, Systems Administrator, Security Engineer, and Customer Support Engineer.
AWS (via edX) · Amazon Web Services (AWS)
ARCHIVE - Exam Prep: AWS Certified SysOps Administrator – Associate
Amazon Web Services · Networking
With Amazon Connect routing, organizations can implement intelligent and customizable omnichannel routing strategies to connect customers to agents with the most appropriate skill set. In this course, you will learn the benefits, typical use cases, and core concepts of Amazon Connect routing. You will explore real-world implementation scenarios and identify the key considerations to enhance the customer experience and optimize contact center operations through effective routing.
Amazon Web Services · Python Programming
This course gives you a thorough introduction to the python programming language. You'll start by learning the definition of python, its history, semantics, and how it works. The first week concludes by writing a python script to solve a problem. In Week 2, you'll learn about Serverless Architectures and understand the differences between microservices, service-oriented and monolith architectures. You'll build a microservices architecture by learning how to use the following tools: AWS Lambda, Amazon API Gateway, and Cloud9. It's then time to go deep with AWS Databases. You'll see Amazon RDS and Amazon DynamoDB in action, visualizing the important role they play in developing applications in python. The course's final week will cover application integration services. Amazon's Simple Notification Service (SQS), Simple Queue Service (SQS), and EventBridge take center stage as important “glue” components for scalable, cloud-based applications. You'll close the course with a hands-on project, writing some code to use some hardcoded data to write to dynamodb and then convert that into a lambda function.
Amazon Web Services · Amazon Web Services (AWS)
This course is designed for large, or scaling organizations. It focuses on automating cloud governance to enhance security. This includes retiring manual processes in account management, budget enforcement, and security operations and compliance. These areas allow for governance without inhibiting agility, speed, or innovation. They also allow for decision makers with the visibility, control, and governance necessary to protect sensitive data and systems.
Amazon Web Services · Amazon Web Services (AWS)
This self-paced digital course explores the various databases that Amazon Web Services (AWS) offers and helps you understand how each of them solve unique business problems. It introduces you to AWS recommended best practices when designing solutions with AWS databases, and common tools for data migration. This course is designed to help you learn the fundamentals of choosing the right database to support your use case.
Amazon Web Services · Amazon Web Services (AWS)
Are you looking to get more technical? Are you looking to begin working in the cloud, but don’t know where to go next? Are you looking to up your game by prepping for the AWS Solutions Architect Associate Exam? Do you see yourself as a cloud consultant, but can’t quite envision how your days would be? Are you puzzled how to match a customer’s requirements with the right AWS services/solutions? If so, you are in the right place!! You’ll learn how to plan, think, and act like a Solution Architect in a real-life customer scenario. In this course, you’ll get prepared to begin your career architecting solutions on AWS. Through a series of use case scenarios and practical learning, you’ll learn to identify services and features to build resilient, secure, and highly available IT solutions in the AWS Cloud. Each week, a fictional customer will present a different need. We will then review the options, choose the best one for the use case and walk you through the architecture design on a whiteboard. You’ll learn about event-driven architectures with a focus on performance efficiency and cost. You’ll then gain knowledge on how to architect a solution using many purpose-built AWS services. With this understanding, you’ll get a sense of hybrid architectures with a refined focus on reliability and operational efficiency. Finally, you’ll wrap up your learning by understanding a multi-account strategy centered on security and cost.
Amazon Web Services · Generative AI & LLMs
Learn Generative AI with AWS through six comprehensive hands-on labs. Start with exploring multimodal understanding using Amazon Nova Lite, then dive into the Amazon Bedrock console for foundation model deployment. Advance your skills with text generation using Nova Micro and learn essential prompt engineering techniques. Experience machine learning development with SageMaker, and discover how to improve developer productivity using Amazon Q Developer. Gain the skills needed to build AI solutions in real-world scenarios.
Amazon Web Services · Networking
This course is part of the Amazon Connect curriculum. The course is designed for supervisors and technical roles to get familiar with the administrative interface. The course covers basic navigation and how to view and publish reports and analytics. You will explore the three main reporting options: real-time metrics, historical metrics, and login/logout reporting used to review agent-customer communication. Then you will work with dashboards, contact search records, and create and publish reports.