Sunday, April 5, 2026

I Tried 20+ AWS SageMaker Courses: Here Are My Top 5 Recommendations for 2026

Hello guys, if you want to learn about AWS SageMaker and are looking for the best online courses, then you have come to the right place.

Artificial intelligence and machine learning (ML) are transforming industries, and AWS SageMaker is one of the most powerful tools for building, training, and deploying ML models at scale.

Whether you’re a data scientist, ML engineer, or cloud practitioner, learning AWS SageMaker can give you a competitive edge in the AI-driven job market.

In the past, I have shared the best AI coursesbest AWS Bedrock courses, best ChatGPT courses, and best courses to learn deep learning, and today, I am going to share the best online courses to learn AI.

AWS SageMaker integrates with other AWS services, provides built-in algorithms, and supports popular ML frameworks like TensorFlowPyTorch, and Scikit-Learn.

If you want to master SageMaker in 2026, enrolling in the right Udemy course can accelerate your learning.

In this article, I’ll share the 5 best Udemy courses to learn AWS SageMaker, covering hands-on projects, real-world ML applications, and AWS certification preparation.

By the way, if you are new in the area of Machine Learning and AI, then I also recommend you to first go through this classic course, Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2026] on Udemy. It’s perfect for learning many things related to ML and AI.

5 Best AWS SageMaker Courses on Udemy for Beginners and Experts

Without any further ado, here are the top 5 online courses you can join on Udemy to become an AWS SageMaker in 2026

1. AWS SageMaker Practical for Beginners | Build 6 Projects

๐Ÿ“Œ Students Enrolled: 16,443 students

⭐ Rating: 4.7/5

๐ŸŽฏ Best For: Beginners & Intermediate ML Practitioners

This is one of the most comprehensive courses on AWS SageMaker, teaching you how to build, train, and deploy ML models using real-world datasets. The course covers SageMaker Studio, AutoML, built-in algorithms, and model deployment.

Here are the projects you will build in this course:

  • A deep learning-based model to perform image classification.
  • A Time series forecasting models to predict future product prices using DeepAR.
  • Develop and deploy a sentiment analysis model using SageMaker.
  • Deploy trained NLP model and interact/make predictions using secure API.
  • Train and evaluate the Object Detection model using SageMaker built-in algorithms.

What You Will Learn:

✅ Train ML models using built-in AWS SageMaker algorithms

✅ Use SageMaker Studio, Jupyter Notebooks, and AutoML

✅ Deploy models to SageMaker endpoints for real-time inference

✅ Integrate AWS Lambda, API Gateway, and SageMaker

Why Take This Course?

✔️ Covers both beginner and intermediate-level topics

✔️ Hands-on projects with real-world datasets

✔️ Step-by-step deployment of ML models on AWS

Here is the link to join this course: AWS SageMaker Practical for Beginners | Build 6 Projects

2. AWS Certified Machine Learning Specialty (MLS-C01) — — Hands-On

๐Ÿ“Œ Students Enrolled: 15,000+

⭐ Rating: 4.6/5

 ๐ŸŽฏ Best For: AWS Certification & ML Professionals

If you’re preparing for the AWS Certified Machine Learning Specialty (MLS-C01) exam, this course is a must. It covers AWS SageMaker extensively and teaches ML best practices on AWS.

What You Will Learn:\

 ✅ End-to-end ML workflow using AWS SageMaker\

 ✅ Feature engineering and model tuning in SageMaker\ 

✅ Deploying deep learning models with TensorFlow & PyTorch\

 ✅ Preparing for the AWS Machine Learning Specialty certification

Why Take This Course?\ ✔️ Designed specifically for AWS MLS-C01 exam preparation\ ✔️ Practical hands-on projects covering AWS SageMaker\ ✔️ Teaches advanced ML model tuning and deployment strategies

Here is the link to join this course: AWS Certified Machine Learning Specialty (MLS-C01) — — Hands-On

3. Amazon SageMaker by Jose Portilla

๐Ÿ“Œ Students Enrolled: 3,000+\ 

⭐ Rating: 4.7/5\ 

๐ŸŽฏ Best For: Hands-on ML with AWS SageMaker

This course is ideal for developers and data scientists who want hands-on experience with AWS SageMaker. It walks you through end-to-end machine learning workflows and teaches you how to optimize models on AWS.


What You Will Learn:

✅ Preprocessing and feature engineering in AWS SageMaker\ 

✅ Train ML models using SageMaker built-in algorithms\ 

✅ Hyperparameter tuning and model optimization\ 

✅ Deploying ML models with real-time inference on AWS

Why Take This Course?

 ✔️ Highly practical with real-world ML projects

✔️ Covers feature engineering and hyperparameter tuning

 ✔️ Focuses on building and deploying ML models efficiently

Here is the link to join this course: Amazon SageMaker by Jose Portilla

4. AWS SageMaker Machine Learning Engineer in 30 Days + ChatGPT

๐Ÿ“Œ Students Enrolled: 10,000+

⭐ Rating: 4.5/5

๐ŸŽฏ Best For: Data Scientists & ML Engineers

This course is tailored for data scientists and ML engineers who want to integrate AWS SageMaker into their workflows. It focuses on using SageMaker for scalable machine learning projects.

What You Will Learn:

✅ Using AWS SageMaker for large-scale ML projects

✅ Training deep learning models with SageMaker & PyTorch

✅ Automating ML workflows with SageMaker Pipelines

✅ Deploying scalable ML models on AWS infrastructure

Why Take This Course?\ ✔️ Designed specifically for data scientists & ML engineers\ ✔️ Covers both classical ML and deep learning techniques\ ✔️ Focuses on large-scale ML projects and automation

Here is the link to join this course — — AWS SageMaker Machine Learning Engineer in 30 Days + ChatGPT

5. Build an AWS Machine Learning Pipeline for Object Detection

๐Ÿ“Œ Students Enrolled: 8,000+

 ⭐ Rating: 4.6/5

 ๐ŸŽฏ Best For: AI & Deep Learning with AWS SageMaker

This course explores AI and deep learning applications using AWS SageMaker. It covers building and deploying ML models for real-world AI applications, including NLP and image classification.

What You Will Learn:

 ✅ Training AI models with AWS SageMaker and TensorFlow

 ✅ Implementing NLP and computer vision models on AWS

 ✅ Deploying AI models with real-time and batch inference

Why Take This Course?

 Best for AI-focused learners and deep learning enthusiasts

 ✔️ Includes hands-on projects with NLP and image classification

Here is the link to join this course: Build an AWS Machine Learning Pipeline for Object Detection

Final Thoughts: Start Learning AWS SageMaker Today!

AWS SageMaker is an essential skill for ML engineers, data scientists, and cloud professionals in 2026.

Whether you’re looking to train ML models, deploy AI applications, or prepare for AWS certifications, these Udemy courses provide hands-on experience with real-world projects.

If you want to accelerate your machine learning career on AWS, enroll in one of these top-rated AWS SageMaker courses and start building scalable AI models today!

๐Ÿ‘‰ Which course is right for you?

๐Ÿ”น For Beginners: AWS SageMaker Practical for Beginners | Build 6 Projects

๐Ÿ”น For AWS Certification: AAWS Certified Machine Learning Specialty (MLS-C01) — — Hands-On

๐Ÿ”น For Hands-on ML: Build an AWS Machine Learning Pipeline for Object Detection

Other AI and Machine Learning articles you may like

Start learning today and become an AWS SageMaker expert in 2026!

All the best with your learning !!

Thanks for reading this article so far. If you like these AWS Sagemaker Udemy courses, then please share it with your friends and colleagues. If you have any questions or feedback, please drop a note.

P. S. — — By the way, if you want to join multiple course on Udemy, its better to get a Udemy Personal Plan, which will give instant access of more than 11,000 top quality Udemy courses for just $30 a month. If you got a lot of time and want to save money, Udemy Personal Plan will be perfect for you.

    Saturday, April 4, 2026

    Is Google's Data Analytics Certification on Coursera Really Worth it in 2026? Review

    Review — Is Google Data Analytics Certification on Coursera Worth ?

    Hello guys, if you want to become a Data Analyst in 2026 and looking for the best online courses, guides, and tutorials to learn Data Analysis or wondering whether Coursera is a good place to learn Data Analytics or not then you have come to the right place.

    In the past, I have shared the best Data Analysis coursesBooks, and 2026 Data Analyst RoadMap, and in this article, I will share one of the most popular Coursera courses to learn Data Analytic, Google Data Analytics Professional Certificate, which is also recently updated to include new AI skills to become more relevant in 2026.

    Coursera is certainly a good place to learn Data Analytics in 2026 because it has got some of the best Data analytics courses available online like Google’s Data Analytics Professional Certificate and IBM’s Data Analytics Course.

    With more than 2.3 millions students on Coursera this is one of the most popular Data Analytics course on Coursera and why not? Its created from Google itself.

    Yes, that’s probably the most important pat of this certificate as when you put that into your resume or LinkedIn profile your visibility increases and you will more likely get calls from Data Analysis job then without it.

    It’s also well structured, and up-to-date and you will learn all essential Data Analytics skills from Google experts.

    There is a huge demand for the position of data analytics people in this modern world because companies are collecting more data about their customers’ behavior on their websites or maybe the reviews of their customers on the company products and much more.

    They need a data analyst expert to extract insight and make them choose a better decision to improve their presence, products, and user experience.

    With the increasing demand for data analysts and the rapid advancements in AI technology, many aspiring professionals are considering how best to acquire these skills. G

    Google’s Data Analytics Certificate has been one of the most popular courses on Coursera since its launch, designed to equip learners with job-ready data analytics skills.

    But as we approach 2026, is this certification still worth pursuing, especially with updates incorporating real-world AI applications? In this article, we explore how Google’s latest updates to their certificate align with the evolving demands of the workforce, helping you decide if it’s worth your time and investment.

    However, if you have already made your point, you can go and join Google’s Data Analytics Certificate, you will not regret it, and thank me later.

    It’s one of the best introductory courses for beginners in Data Analytics or anyone who wants to start or switch their career and want to become a Data Analyst. More than 2.3 million students have already joined this program.

    By the way, If you are planning to join multiple Coursera courses or certifications, then consider taking a Coursera Plus subscription which provides you unlimited access to their most popular courses, specializations, professional certificates, and guided projects.

    It costs around $399/ per year but is worth it because you get access to more than 7000+ courses and projects, and you can also get unlimited certificates.

    Review — Is Coursera’s Google Data Analytics Certificate worth it in 2026?

    So far we have seen how Google’s Data Analytics Professional certificate can help you to launch your career in the field of Data Analytics. But is the course still valid in 2026 in the age of Artificial intelligence and ChatGPT?

    Now it’s time to review the course in depth. As always, we will review the certificate into three major parameters, instructor quality, course structure and content quality, and people’s review, I mean what other people are saying about this course.

    1. The Instructors Review

    This long specialization is created by the Google career certificate, which is a part of growth with Google.

    It is an initiative that aims to help people get digital skills like Google ads or data science or data analytics and was created by experts in the field to be comfortable learning data analytics from industry experts.

    2. Certification Structure and Content Quality

    Now, let’s deep dive into this certificate course structure and the topics covered. Since this is a professional certificate it contains multiple courses to teach you all the related skills you need to succeed as a Data Analyst.

    This is an in-depth certification and there are 8 courses on this certification including a project which you need to complete at the end of this program to get the certificate.

    2.1. Foundations: Data, Data, Everywhere

    Starting with an introduction to data analytics and learning how data analysts use this science and different tools to decide.

    Next, you will learn about data analytics thinking and the roles and key skills used by analytics.

    Finally, it introduces you to the application used in the data analysis process and the tasks that analysts perform in the company.

    More than 2 million people have already joined this course.

    Here is the link to join this course — Foundations: Data, Data, Everywhere

    2.2. Ask Questions to Make Data-Driven Decisions

    The data analysts need to ask questions before they start analyzing the data and answer these questions to learn how to ask effective questioning techniques to help you guide your analysis.

    Next, you will see how data empowers decisions and shares your data through reports and dashboards.

    Finally, explore how to use the spreadsheet and effectively communicate with your team.

    2.3. Prepare Data for Exploration

    This is the 3rd course of this certification and you will learn how companies generate and how data analysts collect data that will be used for analytics understand the differences between structured and unstructured data and prepare your data for exploration.

    You will also understand how to identify different biases in data.

    Next, you will understand how databases work and extract and filter the data you will use in the analysis.

    Talking about social proof, more than 832,291 people have already enrolled in this program.

    2.4. Process Data from Dirty to Clean

    You will see how data is generated and how analysts use it to decide which data to collect for analysis purposes and learn how to clean it before moving to the next step, analysis.

    You will also learn to use the SQL language to clean the data and get ready for the analysis and the process of verifying and reporting data cleaning.

    2.5. Analyze Data to Answer Questions

    You will understand the importance of organizing your data using sorting and filtering and how to perform these two actions using both spreadsheet and SQL language.

    Also, see how you format and convert your data and how SQL can combine your data from different database tables and different cells in the spreadsheet.

    Finally, you will perform calculations on your data using the spreadsheet.

    The course is also enhanced with AI which means you will will also learn to use AI for better data analysis.

    2.6. Share Data Through the Art of Visualization

    You will learn data visualization and key concepts, design thinking, and more by using both traditional tools and AI tools for effective data visualization.

    Next, you will explore the Tableau software and how to create data visualization, and the importance of creativity while visualizing your data.

    Also, see how to create dashboard and dashboard filters using this software and effectively make presentations about your data analysis.

    2.7. Data Analysis with R Programming

    You will explore the R programming language and how it is used in the data analysis and the component of RStudio an IDE that will help you during your work.

    Then you will start exploring the R language and using its variables, performing calculations, using their packages, and using the R language with data by cleaning, organizing, and transforming your data.

    Finally, use this language to create a visualization and import them. As I said, you will also learn about AI tools that can help you with Data Analysis.

    2.8. Google Data Analytics Capstone

    This last course is a capstone project where you will show your capability to the employee and complete an optional case study.

    You will have to apply what you have learned in a given dataset identify the case study’s key features and attributes, and get your certificate when you complete this course.

    3. What’s New in Google’s Data Analytics Certificate?

    One of the most exciting updates happening in 2026 is Google’s addition of real-world AI applications to their foundational certificate programs, including the Data Analytics course.

    This move directly addresses the growing need for data analysts to work not just with traditional tools but also with AI-powered technologies.

    1. AI Integration for Data Cleaning and Structuring

    A major pain point for many data analysts is the often tedious task of cleaning and structuring data.

    Google’s updated curriculum integrates AI tools to simplify this process, allowing you to leverage AI to automatically detect errors, fill in missing data, and categorize unstructured data.

    This feature will enable professionals to focus more on analysis and less on the menial aspects of data preparation.

    2. AI for Building Formulas and Manipulating Complex Data Sets

    AI can now assist you in building complex formulas and manipulating large, intricate data sets.

    This update is designed to give learners the ability to perform more advanced analytics with less manual effort, making you more efficient and effective in your work.

    With the 2026 updates, learners of Google’s Data Analytics Certificate will be equipped with more in-demand AI-driven skills, making them even more attractive to potential employers.

    Whether you’re looking to break into the field or level up your existing skills, this certificate offers a comprehensive foundation that now includes cutting-edge technology that companies are eager to implement.

    Employers today aren’t just looking for people who can analyze data — they want professionals who can harness the power of AI to make more informed, quicker decisions.

    Google’s updated curriculum in 2026 prepares you for this exact scenario, offering a competitive advantage in a field where technology is rapidly evolving.

    The updates in 2026 not only help you become more efficient with AI but also accelerate your path to becoming job-ready.

    For those who have hesitated to enroll, these new features could provide the extra push to dive into the course.

    By integrating AI technologies directly into the learning process, Google is ensuring that you’re ready to handle real-world challenges from day one.

    Here is the link to join this course — Google’s Data Analytics Certificate

    4. People’s Review

    So far, we have looked at the course instructor and content, now is the time to see what other people are saying about this Data Analytics program on Coursera.

    First, let’s look at the numbers and social proof, more than 1 million people have already enrolled in this program which is huge and it has got an average 4.8 rating from close to 98,0000 participants, a phenomenal success.

    The best thing about this course is that it's very comprehensive but still very practical and engaging and leaves no effort left on teaching you all the skill you need to become a successful data analyst.

    Another great thing about this course is the US report which suggests that 75% of Google Career Certificate Graduates (people who have attended Google certification on Coursera) in the United States report an improvement in their career trajectory (like a new job or career, promotion or raise) within 6 months of certificate completion.

    In short, a great program to join, in fact, the best Coursera course to learn Data Analytics and become a Data Analyst in 2026.

    Here is the link to join this certification — Google Data Analytics Professional Certificate

    5. Is Coursera’s Google Data Analytics Certificate Worth It?

    So, is Google’s Data Analytics Certificate worth it in 2026? Absolutely. With the introduction of AI applications, the program now offers even more value than before.

    Whether you’re just starting out or looking to enhance your skills, the course’s new features make it a strong contender for anyone serious about entering or advancing in the data analytics field.

    Moreover, with AI becoming more integrated into daily workflows, gaining expertise in both traditional and AI-driven analytics will set you apart in the competitive job market.

    Here is the link to join this certification — Google Data Analytics Professional Certificate

    Is Google Data Analytics Professional Certificate worth it

    Conclusion

    That’s all about whether Coursera is a good place to learn Data Analytics or not and the review of Coursera’s most popular, Google Data Analytics Professional Certificate in 2026. Considering the course structure and the opportunity to learn from expert Data Analysts from Google, I think this course is definitely worth it.

    Data analysis is a huge science, and completing one of the courses doesn’t mean you are a data analyst but it provides the launch pad.

    You can also learn other languages like Python and explore more in R language and data visualization by fixing many case studies to work in this position.

    Also, Google’s Data Analytics Certificate in 2026 goes beyond foundational skills by incorporating real-world AI tools into its curriculum.

    This allows you to take advantage of AI for data cleaning, structuring, and advanced analysis, equipping them with the skills that are highly sought after in today’s fast-paced, tech-driven job market.

    If you’re considering a career in data analytics, this updated course offers more than ever to help you succeed.

    Other Coursera Resources you may like:

    Thanks for reading this article so far. If you like this review of Google’s popular Data Analytics Professional certification on Coursera please share them with your friends and colleagues. If you have any questions or feedback then, please drop a note.

    P. S. — If you prefer to learn from Udemy courses then you can also check out this Data Analysis with Pandas and Python course on Udemy. This is one of the best courses to learn Data Analysis on Udemy, and you can get it for just $10 on Udemy sales, which happens every now and then.