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AWS Certified Machine Learning – Specialty

AWS

AWS Certified Machine Learning – Specialty

Learn how to use AWS services like SageMaker, Glue, and Forecast to create, train, and implement machine learning models. Through practical, real-world projects, this course gets you ready for the AWS ML Specialty certification.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 weeks

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About 

AWS Certified Machine Learning – Specialty

Learn how to use AWS to create data-driven, intelligent solutions. Get practical experience with Glue, Forecast, and SageMaker for real-world machine learning projects. Develop your skills in data preparation, model training, and large-scale deployment. Prepare yourself completely to obtain the AWS Machine Learning – Specialty certification.

Training Plan

01

About trainer

Working professional who is carrying more then 10 years of industry experience.

02

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03

e-Book

E-book provided by TechPratham. All rights reserved.

04

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05

Video Recording

Daily Session would be recorded and shared to the candidate.

06

Projects

Live projects will be provided for hands-on practice.

07

Resume Building

Expert-guided resume building with industry-focused content support.

08

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

AWS Certified Machine Learning – Specialty

Course Curriculum

Data Engineering for ML

Prepare and manage data pipelines, repositories, and ingestion using AWS services to support ML workflows.

Data ingestion (batch & streaming)
Data storage (S3, Redshift, etc.)
ETL / data transformation
AWS Glue, EMR, Kinesis

Data Preparation & Feature Engineering

Clean, preprocess, and engineer features to improve model training and performance.

Missing data handling & imputation
Feature scaling, normalization
Categorical encoding, one-hot / embeddings
Feature selection & extraction

Exploratory Data Analysis (EDA)

Explore and understand dataset distributions, relationships, outliers, and visualize data to inform modeling decisions.

Statistical summaries & data visualization
Correlation & covariance
Detecting outliers & anomalies
Time-series analysis

Model Selection & Algorithm Fundamentals

Understand different ML algorithm types and when to apply them.

Supervised learning (classification/regression)
Unsupervised learning (clustering, dimensionality reduction)
Algorithm trade-offs
Loss functions & error metrics

Model Training & Hyperparameter Tuning

Train ML models using AWS tools, optimize hyperparameters, and avoid overfitting/underfitting.

SageMaker built-in algorithms & custom models
Hyperparameter tuning & search (grid, random)
Overfitting vs underfitting, regularization
Distributed training techniques

Performance Evaluation & Metrics

Evaluate model performance using relevant metrics and statistical tests.

Accuracy, precision, recall, F1 score, ROC-AUC
Confusion matrix & error analysis
Cross-validation, bias/variance tradeoff
Handling imbalanced datasets

AWS Courses

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Additional Program Highlights

Learning Materials
Resume Writing
Interview Preparation
Interview Preparation

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Who Should Take

AWS Certified Machine Learning – Specialty

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Key Projects

<h1>AWS Certified Machine Learning – Specialty</h1>

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Fraud Detection System

Using Amazon Kinesis, AWS Glue, and SageMaker, a real-time fraud detection model was created. It was then deployed via API Gateway and watched over by CloudWatch to identify irregularities at scale.

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Recommendation Engine

created a product recommendation system using SageMaker and Amazon Personalize, integrated it using API Gateway + Lambda, and monitored its performance using QuickSight dashboards.

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Demand Forecasting

Using SageMaker DeepAR and Amazon Forecast, a sales forecasting model was developed. RDS/S3 data was processed, and QuickSight was used to provide insights for inventory optimization.

Placement Process

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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What is the AWS Certified Machine Learning – Specialty certification?

Who should take the MLS-C01 exam?

What skills are measured in MLS-C01?

Are there prerequisites for MLS-C01?

How long is the MLS-C01 certification valid?

How much does the MLS-C01 exam cost?

Industry-Recognized Certification

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