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.
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
Placement Client
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About AWS Certified Machine Learning – Specialty
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.
<h1>AWS Certified Machine Learning – Specialty</h1> 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
No related courses found
Additional Program Highlights
Comprehensive study materials and resources
HD
Professional resume building session
HD
Master your interview skills
HD
Real-world project demonstrations
HD
Upcoming Batches
Can't find a batch you were looking for?
Who Should Take <h1>AWS Certified Machine Learning – Specialty</h1>
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Key Projects
<h1>AWS Certified Machine Learning – Specialty</h1>
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.
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.
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
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Latest Hiring
No hiring posts
Recently Placed Candidates
No placements available
Latest Hiring
No hiring posts
Our Success Mantra
Commitment
- Ensuring quality training every day
Fulfillment
- Meeting learning goals with confidence
Accomplishment
- Students achieving industry-ready expertise
Our Learner Voice
Beyond Courses:
Additional Support We Provide
24/7 Support
LinkedIn Profile
Resume Writing
Alumni Sessions
Interview Preparation
Live Projects
What Makes TechPratham Training Different?
Feature
TechPratham Advantage
Industry Standard Institutes
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
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?
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