Practical Data Science with Amazon SageMaker Course in South Africa
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
4.8/55469 EnrolledEnrolled Learners
4.8/55469 EnrolledEnrolled Learners
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
Upcoming sessions
Curriculum
1
Benefits of machine learning (ML)
2
Types of ML approaches
3
Framing the business problem
4
Prediction quality
5
Processes, roles, and responsibilities for ML projects
1
Data analysis and preparation
2
Data preparation tools
3
Demonstration: Review Amazon SageMaker Studio and Notebooks
4
Hands-On Lab: Data Preparation with SageMaker Data Wrangler
1
Steps to train a model
2
Choose an algorithm
3
Train the model in Amazon SageMaker
4
Hands-On Lab: Training a Model with Amazon SageMaker
5
Amazon CodeWhisperer
6
Demonstration: Amazon CodeWhisperer in SageMaker Studio Notebooks
1
Model evaluation
2
Model tuning and hyperparameter optimization
3
Hands-On Lab: Model Tuning and Hyperparameter
4
Optimization with Amazon SageMaker
1
Model deployment
2
Hands-On Lab: Deploy a Model to a Real-Time Endpoint
3
and Generate a Prediction
1
Responsible ML
2
ML team and MLOps
3
Automation
4
Monitoring
5
Updating models (model testing and deployment)
1
Different tools for different skills and business needs
2
No-code ML with Amazon SageMaker Canvas
3
Demonstration: Overview of Amazon SageMaker Canvas
4
Amazon SageMaker Studio Lab
5
Demonstration: Overview of SageMaker Studio Lab
6
(Optional) Hands-On Lab: Integrating a Web Application
7
with an Amazon SageMaker Model Endpoint
Meet your Trainer
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.
Learning Outcomes
Successful completion of the training will help professionals in the following ways:
1
Master data preparation with SageMaker Data Wrangler to streamline data processing
2
Train models using advanced algorithms like XGBoost and fine-tune with hyperparameter optimization
3
Deploy machine learning models to real-time endpoints with Amazon SageMaker for seamless predictions
4
Implement MLOps practices for automating, monitoring, and managing model deployments
5
Gain practical experience in no-code machine learning using SageMaker Canvas
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
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.
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Frequently asked questions
The Practical Data Science with Amazon SageMaker course in South Africa trains professionals to use Amazon SageMaker for machine learning. It includes training on preparing data, training, and tuning machine learning models to deploy them in live production environments. Professionals can leverage the robust tools of SageMaker to simplify machine learning workflows and spur innovation.
Additional resources such as career services, job placement assistance, and networking opportunities are often available. You’ll also gain access to a community of data science professionals to share knowledge and opportunities.
In comparison to other certifications, our Practical Data Science with Amazon SageMaker course provides a dedicated, hands-on machine learning course with practical applications. It is most useful for those seeking to specialize in Amazon's machine learning environment.
Our course is specifically tailored for working professionals. You can take the course online and attend live sessions at convenient hours. The self-paced modules of the course also enable you to learn according to your schedule, making it more convenient for you to manage work and study.
The certification gives you an edge in the employment market, proving your proficiency in Amazon SageMaker, a popular platform for machine learning. It enhances your credibility and provides new career prospects, making you more desirable to leading employers in AI and data science.
Industries are increasingly adopting machine learning and AI technologies. Some are:
- Tech
- Finance
- Healthcare
- E-commerce
- Telecommunications
Completing our Practical Data Science with Amazon SageMaker course opens doors to these fast-growing fields.
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