Practical Data Science with Amazon SageMaker Course in Dubai

Master ML with Amazon SageMaker

Get real-world insights from certified instructors

Apply machine learning to tackle real business challenges

Gain in-demand ML skills and boost your job prospects

Learn at your own pace with flexible, instructor-led sessions

Master the full ML workflow and its practical applications

Convenient and hassle-free payment plans

4.7/5

3903 Enrolled

Overview

What you will learn:

Learn data preparation techniques using Amazon SageMaker Data Wrangler
Train models with powerful algorithms like XGBoost on Amazon SageMaker
Evaluate and fine-tune models with hyperparameter optimization in SageMaker
Deploy models to real-time endpoints with Amazon SageMaker for seamless integration
Master MLOps practices to automate and monitor model deployment
Gain hands-on experience in no-code machine learning with Amazon SageMaker Canvas

Learning Objectives

Successful completion of the training will help professionals in the following ways:

Master data preparation with SageMaker Data Wrangler to streamline data processing

Train models using advanced algorithms like XGBoost and fine-tune with hyperparameter optimization

Deploy machine learning models to real-time endpoints with Amazon SageMaker for seamless predictions

Implement MLOps practices for automating, monitoring, and managing model deployments

Gain practical experience in no-code machine learning using SageMaker Canvas

Ready to get started?

Overall ratings by our students

Upcoming sessions

Our Trainers

Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

Related courses

Curriculum

• Benefits of machine learning (ML) • Types of ML approaches • Framing the business problem • Prediction quality • Processes, roles, and responsibilities for ML projects

• Data analysis and preparation • Data preparation tools • Demonstration: Review Amazon SageMaker Studio and Notebooks • Hands-On Lab: Data Preparation with SageMaker Data Wrangler

• Steps to train a model • Choose an algorithm • Train the model in Amazon SageMaker • Hands-On Lab: Training a Model with Amazon SageMaker • Amazon CodeWhisperer • Demonstration: Amazon CodeWhisperer in SageMaker Studio Notebooks

• Model evaluation • Model tuning and hyperparameter optimization • Hands-On Lab: Model Tuning and Hyperparameter Optimization with Amazon SageMaker

• Model deployment • Hands-On Lab: Deploy a Model to a Real-Time Endpoint and Generate a Prediction

• Responsible ML • ML team and MLOps • Automation • Monitoring • Updating models (model testing and deployment)

• Different tools for different skills and business needs • No-code ML with Amazon SageMaker Canvas • Demonstration: Overview of Amazon SageMaker Canvas • Amazon SageMaker Studio Lab • Demonstration: Overview of SageMaker Studio Lab • (Optional) Hands-On Lab: Integrating a Web Application with an Amazon SageMaker Model Endpoint

Frequently asked questions

The Practical Data Science with Amazon SageMaker course in Dubai provides comprehensive training on how to use Amazon SageMaker for machine learning. This course covers everything from data preparation, training, and tuning machine learning models, to deploying them in real-time production environments.

With hands-on experience and practical use cases like customer churn analysis, students will be equipped with the skills to tackle complex machine learning challenges in the industry. Upon completion, learners will be proficient in using SageMaker's powerful tools to streamline machine learning workflows and drive innovation.

After completing this certification course, you can pursue career paths such as:

Data Scientist
Machine Learning Engineer
Cloud Engineer
AI Specialist
Data Analyst
AI/ML Consultant
Business Intelligence Analyst

These roles are in high demand across industries including tech, finance, healthcare, and retail.

Obtaining a certification in Practical Data Science with Amazon SageMaker enhances your credibility as a data science professional. It demonstrates to employers that you have the necessary skills to work with one of the most powerful tools for machine learning and that you are equipped to solve complex real-world challenges.

The course offers flexible learning options to cater to working professionals. You can choose from live online sessions, self-paced study materials, and recorded lectures. This flexibility ensures that you can complete the course while balancing your full-time job. The learning format allows you to study at your own pace and revisit materials as needed.

Yes, our Practical Data Science with Amazon SageMaker Course in Dubai uses intuitive tools like Jupyter Notebooks and provides guided, hands-on exercises. You learn the machine learning lifecycle in a structured way, from data preparation to deployment, without needing deep programming expertise. It's ideal for analysts wanting to upskill in AI and integrate data science into decision-making.

The Practical Data Science with Amazon SageMaker training offers unique hands-on learning with one of the most powerful machine learning platforms, Amazon SageMaker. Unlike other programs, it provides a real-world focus, covering everything from data preparation to model deployment, ensuring you gain practical skills that are directly applicable to industry challenges.

Not at all, it’s the perfect time. This Data Science course empowers experienced developers like you to level up into AI, using familiar programming environments and tools. With SageMaker, you learn how to integrate smart models into apps, opening up new possibilities for innovation and leadership in tech.