# AWS Glue Getting Started Review (2026): 8.5/10 · Coursera · Free > Independent review of AWS Glue Getting Started Course on Coursera. Rated 8.5/10 by our editorial team. Pros, cons, price, and top alternatives. Free to enrol… AWS Glue Getting Started Course ![AWS Glue Getting Started Course](/api/media/file/hero/aws-glue-getting-started-course.webp?v=2?width=800) # AWS Glue Getting Started Course — Review (8.5/10) This course offers a solid introduction to AWS Glue, ideal for beginners in cloud data services. It effectively covers core concepts and console navigation with practical relevance. While light on dee... Explore This Course 🎟️ Coursera Discount Offer Explore This Course AWS Glue Getting Started Course is a 7 weeks online beginner-level course on Coursera by Amazon Web Services that covers cloud computing. This course offers a solid introduction to AWS Glue, ideal for beginners in cloud data services. It effectively covers core concepts and console navigation with practical relevance. While light on deep technical coding, it lays a strong foundation for further AWS specialization. Some learners may want more hands-on labs or advanced scripting content. We rate it 8.5/10. ## Prerequisites No prior experience required. This course is designed for complete beginners in cloud computing. ## Pros - Clear introduction to AWS Glue for absolute beginners - Official content from Amazon Web Services ensures accuracy and relevance - Hands-on demonstration via AWS Console builds practical familiarity - Concise modules focused on core ETL and data integration concepts ## Cons - Limited depth in advanced ETL scripting and customization - Few interactive labs or graded exercises - Assumes basic AWS knowledge; may challenge complete newcomers ## AWS Glue Getting Started Course Review Platform: Coursera Instructor: Amazon Web Services Updated Apr 23, 2026·Editorial Standards·How We Rate ## What will you learn in AWS Glue Getting Started Course - Discover and catalog data using AWS Glue Data Catalog - Transform and clean data with AWS Glue ETL scripts - Automate data preparation workflows using job scheduling - Integrate AWS Glue with analytics and machine learning pipelines - Monitor and troubleshoot data jobs in the AWS Console ### Program Overview ### Module 1: Data Catalog and Metadata Discovery 1-2 weeks - Create and manage metadata repositories in AWS Glue - Use crawlers to detect data formats and schemas - Organize datasets using databases and table definitions ### Module 2: Automated Data Cleaning and Transformation 1-2 weeks - Generate Python-based ETL scripts using AWS Glue Studio - Apply built-in transforms to standardize data formats - Handle missing or inconsistent data in large datasets ### Module 3: Serverless ETL Pipeline Orchestration 1-2 weeks - Design event-driven workflows using AWS Glue Workflows - Schedule jobs based on time or data availability - Integrate with S3, Redshift, and Lambda triggers ### Module 4: Integration with Analytics and ML Workloads 1-2 weeks - Prepare data for Amazon SageMaker model training - Streamline analytics with Athena and QuickSight outputs - Optimize datasets for query performance and cost ### Module 5: Monitoring and Performance Optimization 1-2 weeks - Track job runs and execution duration in AWS Console - Use CloudWatch metrics to detect failures - Adjust job parameters to reduce runtime and cost ### Get certificate #### Job Outlook - High demand for cloud data engineers in enterprise sectors - Opportunities in ML pipeline development and data governance - Relevant skills for AWS-based data architecture roles ## Editorial Take The 'AWS Glue Getting Started' course delivers a focused, beginner-accessible entry point into AWS's managed ETL service. Developed by Amazon Web Services, it ensures authoritative and up-to-date content tailored for cloud newcomers. ### Standout Strengths - Official AWS Content: Created by Amazon Web Services, the material is accurate, current, and aligned with real-world implementation standards. This ensures learners gain trustworthy knowledge directly from the source.Such authority enhances credibility, especially for professionals preparing for AWS certifications or cloud roles requiring vendor-specific expertise. - Beginner-Friendly Approach: The course assumes minimal prior knowledge and walks learners through AWS Glue step by step. It introduces technical concepts without overwhelming jargon.This lowers the barrier to entry for those new to data engineering or cloud platforms, making it ideal for career switchers and IT professionals expanding into data. - Console-Based Demonstration: Learners benefit from guided walkthroughs using the AWS Management Console, offering visual, practical exposure to real tools. This builds confidence in navigating AWS interfaces.Seeing the service in action helps bridge the gap between theory and application, especially for visual and hands-on learners. - Clear Focus on Core Concepts: The course efficiently covers essential topics like crawlers, Data Catalog, ETL jobs, and workflows without unnecessary digressions. This keeps the learning path streamlined and goal-oriented.By focusing on foundational elements, it prepares learners for more advanced AWS data services and specializations. - Relevance to Modern Data Workflows: AWS Glue is widely used in data lakes, analytics pipelines, and ML preprocessing. Understanding it boosts employability in data engineering and cloud architecture roles.Skills learned are directly transferable to real-world projects involving data integration across disparate sources. - Free Access with Certificate: The course is free to audit on Coursera, offering excellent value. Learners can earn a certificate to showcase foundational AWS knowledge at no cost.This makes it accessible to a global audience, especially students and professionals in emerging markets seeking to upskill affordably. ### Honest Limitations - Limited Hands-On Coding: While the course demonstrates AWS Glue workflows, it lacks in-depth scripting practice with PySpark or Scala. Learners don’t write complex transformations themselves.This may leave some wanting more technical depth, especially those aiming for data engineering roles requiring strong coding proficiency. - Assumes Basic AWS Knowledge: Although marketed as beginner-friendly, familiarity with core AWS services like S3 and IAM is helpful. Newcomers may struggle without prior exposure.Supplementary learning on AWS fundamentals may be necessary to fully grasp integration points and security considerations. - Few Interactive Exercises: The course relies heavily on video lectures and demonstrations with minimal quizzes or graded labs. Engagement could be improved with more active learning components.Without practice, retention and application of concepts may be limited, especially for self-directed learners. - Short on Advanced Features: Topics like job bookmarks, Glue versioning, and integration with DevOps pipelines are not covered. The course sticks to basics and avoids deeper technical configurations.Learners seeking mastery will need to pursue follow-up resources or documentation to explore production-grade implementations. ### How to Get the Most Out of It - Study cadence: Dedicate 3–4 hours per week consistently. Spread sessions across multiple days to reinforce retention and allow time for AWS Console exploration between modules.Consistent pacing helps internalize concepts and prevents information overload, especially when navigating new cloud interfaces. - Parallel project: Create a simple data pipeline using AWS Glue, S3, and Athena. Use public datasets to practice setting up crawlers, running ETL jobs, and querying results.This reinforces learning through real application and builds a portfolio piece for job seekers or certification preparation. - Note-taking: Document each component—crawlers, jobs, triggers—with diagrams and AWS CLI snippets. Use tools like Notion or OneNote to organize concepts visually.Active note-taking improves comprehension and creates a personalized reference guide for future AWS projects. - Community: Join AWS forums, Reddit’s r/AWS, or Coursera discussion boards to ask questions and share insights. Engaging with peers helps clarify doubts and exposes you to diverse use cases.Community interaction also builds professional networks and keeps you updated on best practices and troubleshooting tips. - Practice: Use the AWS Free Tier to experiment with Glue jobs, modify scripts, and test different data sources. Replicate course demos and then extend them with custom logic.Hands-on experimentation deepens understanding and builds confidence in troubleshooting real-world issues. - Consistency: Complete modules in order without long breaks. AWS services build on each other, and continuity ensures better conceptual flow and skill progression.Setting weekly goals and tracking progress increases accountability and motivation to finish the course. ### Supplementary Resources - Book: 'Learning AWS Data Analytics' by Gaurav Agarwal provides deeper context on how Glue fits into broader AWS data ecosystems.It complements the course by covering related services like Redshift, Kinesis, and Athena in greater technical detail. - Tool: AWS Glue Studio offers a visual interface for building and monitoring ETL jobs. Practicing with it reinforces course concepts and improves workflow design skills.It’s a free tool within AWS that allows no-code development, ideal for beginners transitioning to coding later. - Follow-up: Enroll in 'AWS Data Analytics' or 'AWS Certified Data Analytics – Specialty' prep courses to build on this foundation.These advanced offerings deepen expertise in querying, visualization, and large-scale data processing with AWS. - Reference: AWS Glue Documentation and Developer Guide offer comprehensive technical references for functions, APIs, and best practices.Bookmarking key pages ensures quick access when building real projects or troubleshooting job failures. ### Common Pitfalls - Pitfall: Skipping hands-on practice after watching demos. Without applying concepts, learners may struggle to retain how crawlers discover schemas or how jobs execute.To avoid this, replicate every demo in your own AWS account using free-tier eligible resources. - Pitfall: Underestimating IAM permissions. AWS Glue requires specific roles and policies, and misconfigurations can block job execution.Always review IAM setup carefully and use AWS’s managed policies to avoid access errors during practice. - Pitfall: Expecting deep coding coverage. This course introduces ETL concepts but doesn’t teach PySpark in depth.Supplement with Python for Data Science courses if you aim to write custom transformation logic in production environments. ### Time & Money ROI - Time: At 7 weeks with ~3 hours/week, the total investment is around 20–25 hours—reasonable for foundational cloud data skills.Time spent is well-distributed and manageable alongside full-time work or study. - Cost-to-value: Free access makes this an exceptional value for learning a key AWS service. No financial barrier enhances accessibility and equity.Even paid, the content would justify the cost given its relevance to high-paying cloud roles. - Certificate: The course certificate adds value to resumes and LinkedIn profiles, signaling initiative and foundational AWS knowledge.While not a proctored certification, it supports career advancement and further training in AWS ecosystems. - Alternative: Free AWS Skill Builder modules or YouTube tutorials may cover similar topics but lack structured learning and official recognition.This Coursera course offers a more credible and organized path for serious learners. ### Editorial Verdict The 'AWS Glue Getting Started' course succeeds as a concise, authoritative introduction to a critical AWS data service. It effectively demystifies ETL workflows and equips beginners with practical knowledge of the AWS Console, Data Catalog, and job automation. The course’s alignment with real-world use cases in analytics and machine learning pipelines makes it highly relevant for aspiring data engineers, cloud developers, and solutions architects. Its free access and official AWS backing further enhance its appeal, offering exceptional value for learners globally. However, it’s best viewed as a stepping stone rather than a comprehensive training solution. Those seeking deep technical mastery or coding proficiency will need to supplement with labs, documentation, or advanced courses. Despite this, the course fulfills its purpose: providing a clear, structured on-ramp to AWS Glue. We recommend it for anyone beginning their AWS data journey, especially those planning to pursue AWS certifications or work with cloud-based data integration. With consistent effort and hands-on practice, learners can build a solid foundation for more advanced cloud data projects. ## How AWS Glue Getting Started Course Compares | Course | Platform | Rating | Level | Duration | | --- | --- | --- | --- | --- | | AWS Glue Getting Started Course | Coursera | 8.5/10 | Beginner | 7 weeks | | Google Cloud Generative AI Leader - Mock Exams [Apr'26] Course | Udemy | 9.8/10 | N/A | N/A | | Microsoft Azure Fundamentals AZ-900 Practice [Exams 2026] Course | Udemy | 9.8/10 | N/A | N/A | | Practice Exams \| AWS Certified Developer Associate 2024 Course | Udemy | 9.8/10 | N/A | N/A | ## Who Should Take AWS Glue Getting Started Course? This course is best suited for learners with no prior experience in cloud computing. It is designed for career changers, fresh graduates, and self-taught learners looking for a structured introduction. The course is offered by Amazon Web Services on Coursera, combining institutional credibility with the flexibility of online learning. Upon completion, you will receive a course certificate that you can add to your LinkedIn profile and resume, signaling your verified skills to potential employers. If you are exploring adjacent fields, you might also consider courses in Agile & Scrum Courses, AI Courses, Arts and Humanities Courses, which complement the skills covered in this course. ### Career Outcomes - Apply cloud computing skills to real-world projects and job responsibilities - Qualify for entry-level positions in cloud computing and related fields - Build a portfolio of skills to present to potential employers - Add a course certificate credential to your LinkedIn and resume - Continue learning with advanced courses and specializations in the field ## More Cloud Computing Courses on Coursera Explore other highly rated courses in cloud computing available on Coursera to expand your learning path: - Preparing for Google Cloud Certification: Cloud Security Engineer Professional Certificate Course 9.8/10 - Preparing for Google Cloud Certification: Cloud DevOps Engineer Professional Certificate Course 9.8/10 - AWS Cloud Solutions Architect Professional Certificate Course 9.8/10 - AWS Cloud Technology Consultant Professional Certificate Course 9.8/10 - Architecting with Google Kubernetes Engine en Español Specialization Course 9.8/10 - IBM DevOps and Software Engineering Professional Certificate Course 9.7/10 - AWS Fundamentals Specialization Course 9.7/10 - Preparing for Google Cloud Certification: Cloud Developer Professional Certificate Course 9.7/10 - AWS Cloud Support Associate Professional Certificate Course 9.7/10 - Digital Transformation Using AI/ML with Google Cloud Specialization Course 9.7/10 ## Top Alternatives on Other Platforms Looking for a different teaching style or approach? These top-rated cloud computing courses from other platforms cover similar ground: - Google Cloud Generative AI Leader - Mock Exams [Apr'26] Course 9.8/10 Udemy - Microsoft Azure Fundamentals AZ-900 Practice [Exams 2026] Course 9.8/10 Udemy - Practice Exams | AWS Certified Developer Associate 2024 Course 9.8/10 Udemy - DP-900 Azure Data Fundamentals Exam Prep In One Day Course 9.7/10 Udemy - GIT and Visual Studio with Azure DevOps Repos for Developers Course 9.7/10 Udemy - Microsoft Azure: From Zero to Hero – The Complete Guide Course 9.7/10 Udemy - Practice Exams | AWS Certified Solutions Architect Associate Course 9.7/10 Udemy - Introduction to AWS – Understand AWS basics in 3 hours! Course 9.7/10 Udemy - Azure Fundamentals: AZ-900 Certification +Practice Questions Course 9.7/10 Udemy - AI-900 Microsoft Azure AI Fundamentals Certification Course 9.7/10 Udemy ## More Courses from Amazon Web Services Amazon Web Services offers a range of courses across multiple disciplines. If you enjoy their teaching approach, consider these additional offerings: - AWS Cloud Technology Consultant Professional Certificate Course 9.8/10 - AWS Cloud Solutions Architect Professional Certificate Course 9.8/10 - DeepLearning.AI Data Engineering Professional Certificate Course 9.8/10 - AWS Cloud Technical Essentials Course 9.7/10 - AWS Cloud Support Associate Professional Certificate Course 9.7/10 - AWS Cloud Practitioner Essentials Course 9.7/10 - Amazon Junior Software Developer Professional Certificate Course 9.7/10 - AWS Fundamentals Specialization Course 9.7/10 View all courses from Amazon Web Services → ## Related Articles & Guides Deepen your understanding with these articles from our editorial team, covering career advice, industry trends, and learning strategies: - Build AI skills with the Google AI Professional Certificate - Python Tutorial: Best Courses to Learn Python in 2026 - CISSP vs CompTIA Security+: Which Cert Should You Pursue? - Coursera Data Analytics Professional Certificate: Worth It in 2026? - Best edX Courses in 2026: Top Picks by Enrollment and Career Value - Best Online Coursera Courses in 2026: What's Actually Worth Your Time - Udemy Online: What the Platform Actually Delivers in 2026 - OKR for Leaders: 7 Best Training Courses Compared (2026) - Generative AI for Marketing with Microsoft 365 Copilot: Professional Certificate Review - The Best React Courses in 2026, Ranked and Reviewed ## Explore All Course Categories Not sure what to learn next? 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Be the first to share your experience! ## FAQs What are the prerequisites for AWS Glue Getting Started Course? No prior experience is required. AWS Glue Getting Started Course is designed for complete beginners who want to build a solid foundation in Cloud Computing. It starts from the fundamentals and gradually introduces more advanced concepts, making it accessible for career changers, students, and self-taught learners. Does AWS Glue Getting Started Course offer a certificate upon completion? Yes, upon successful completion you receive a course certificate from Amazon Web Services. This credential can be added to your LinkedIn profile and resume, demonstrating verified skills to employers. In competitive job markets, having a recognized certificate in Cloud Computing can help differentiate your application and signal your commitment to professional development. How long does it take to complete AWS Glue Getting Started Course? The course takes approximately 7 weeks to complete. It is offered as a free to audit course on Coursera, which means you can learn at your own pace and fit it around your schedule. The content is delivered in English and includes a mix of instructional material, practical exercises, and assessments to reinforce your understanding. Most learners find that dedicating a few hours per week allows them to complete the course comfortably. What are the main strengths and limitations of AWS Glue Getting Started Course? AWS Glue Getting Started Course is rated 8.5/10 on our platform. Key strengths include: clear introduction to aws glue for absolute beginners; official content from amazon web services ensures accuracy and relevance; hands-on demonstration via aws console builds practical familiarity. Some limitations to consider: limited depth in advanced etl scripting and customization; few interactive labs or graded exercises. Overall, it provides a strong learning experience for anyone looking to build skills in Cloud Computing. How will AWS Glue Getting Started Course help my career? Completing AWS Glue Getting Started Course equips you with practical Cloud Computing skills that employers actively seek. The course is developed by Amazon Web Services, whose name carries weight in the industry. The skills covered are applicable to roles across multiple industries, from technology companies to consulting firms and startups. Whether you are looking to transition into a new role, earn a promotion in your current position, or simply broaden your professional skillset, the knowledge gained from this course provides a tangible competitive advantage in the job market. Where can I take AWS Glue Getting Started Course and how do I access it? AWS Glue Getting Started Course is available on Coursera, one of the leading online learning platforms. You can access the course material from any device with an internet connection — desktop, tablet, or mobile. The course is free to audit, giving you the flexibility to learn at a pace that suits your schedule. All you need is to create an account on Coursera and enroll in the course to get started. How does AWS Glue Getting Started Course compare to other Cloud Computing courses? AWS Glue Getting Started Course is rated 8.5/10 on our platform, placing it among the top-rated cloud computing courses. Its standout strengths — clear introduction to aws glue for absolute beginners — set it apart from alternatives. What differentiates each course is its teaching approach, depth of coverage, and the credentials of the instructor or institution behind it. We recommend comparing the syllabus, student reviews, and certificate value before deciding. What language is AWS Glue Getting Started Course taught in? AWS Glue Getting Started Course is taught in English. Many online courses on Coursera also offer auto-generated subtitles or community-contributed translations in other languages, making the content accessible to non-native speakers. The course material is designed to be clear and accessible regardless of your language background, with visual aids and practical demonstrations supplementing the spoken instruction. Is AWS Glue Getting Started Course kept up to date? Online courses on Coursera are periodically updated by their instructors to reflect industry changes and new best practices. Amazon Web Services has a track record of maintaining their course content to stay relevant. We recommend checking the "last updated" date on the enrollment page. Our own review was last verified recently, and we re-evaluate courses when significant updates are made to ensure our rating remains accurate. Can I take AWS Glue Getting Started Course as part of a team or organization? Yes, Coursera offers team and enterprise plans that allow organizations to enroll multiple employees in courses like AWS Glue Getting Started Course. Team plans often include progress tracking, dedicated support, and volume discounts. This makes it an effective option for corporate training programs, upskilling initiatives, or academic cohorts looking to build cloud computing capabilities across a group. What will I be able to do after completing AWS Glue Getting Started Course? After completing AWS Glue Getting Started Course, you will have practical skills in cloud computing that you can apply to real projects and job responsibilities. You will be prepared to pursue more advanced courses or specializations in the field. 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