AWS Certified Machine Learning – Specialty (MLS-C01) Training in Pune

AWS Certified Machine Learning – Specialty (MLS-C01) Course

Course Overview

Enroll in our AWS Certified Machine Learning – Specialty (MLS-C01) course at DevOps Training Institute in Pune, located in Kharadi, the heart of Pune’s IT hub. This program is designed to prepare you for the MLS-C01 exam and build expertise in deploying machine learning models on AWS.

Through hands-on labs using AWS services like SageMaker, Comprehend, and Rekognition, and partnerships with leading companies, our course equips you for high-demand ML roles in just 60 days. Earn the MLS-C01 certification and benefit from our 100% placement support.

What You'll Learn

• Building and deploying ML models with AWS SageMaker.
• Processing and analyzing data with AWS Glue and Kinesis.
• Implementing ML pipelines for automation.
• Optimizing ML model performance and cost.
• Securing ML workloads on AWS.
• Using AWS AI services like Comprehend and Rekognition.

Requirements

• A laptop with at least 8GB RAM.
• Basic knowledge of machine learning concepts or Python programming.
• Familiarity with AWS services or AWS Cloud Practitioner certification (recommended).

Course Curriculum

Our MLS-C01 course in Pune offers a comprehensive curriculum covering AWS machine learning services, data engineering, and model deployment. Designed for ML professionals, it includes hands-on labs to prepare for the MLS-C01 exam.

AWS Certified Machine Learning – Specialty (MLS-C01) Exam Details

Your Path to AWS Certified Machine Learning – Specialty Certification

DevOps Training Institute offers specialized training for the AWS Certified Machine Learning – Specialty exam (MLS-C01), a globally recognized certification for individuals with expertise in building, training, and deploying machine learning models on AWS. Tailored for data scientists and ML professionals, our program prepares you to excel in this exam and attract top employers like TCS, Wipro, and Infosys.

With hands-on labs, expert-led instruction, and focused exam preparation, we help you achieve your AWS certification in just 60 days. Our training is available in both classroom and online formats, featuring an advanced curriculum centered on AWS machine learning services and best practices.

Recently Certified Candidates

Exam Overview

Passing Criteria

• Score Requirement: A minimum score of 750 out of 1000 is required to pass the AWS Certified Machine Learning – Specialty exam.
• Result Notification: Exam results are delivered within 5 business days via your registered email through the AWS Certification account.
• Detailed Scorecard: Provides overall performance and a breakdown of scores across domains to highlight strengths and areas for improvement.
• Instant Access: Access your digital certificate and badge upon passing, available through the AWS Certification account.
• Preparation Support: Our training includes advanced practice exams, hands-on labs, and machine learning-focused exercises to ensure exam readiness.

AWS Certified Machine Learning – Specialty (MLS-C01) Related Real-Time Projects

Hands-On Learning for AWS Machine Learning Mastery

Our AWS Certified Machine Learning – Specialty training includes real-world projects designed to prepare you for the MLS-C01 exam and high-demand machine learning roles in the IT industry. These projects simulate complex AWS ML environments, helping you master model building, training, and deployment.

Guided by expert instructors with over 12 years of experience, our hands-on labs ensure you build a robust portfolio to impress employers like TCS, Wipro, and Infosys. Available in both classroom and online modes, our projects are customizable to align with your professional or academic requirements.

AWS Machine Learning Classroom/Online Project List

• Predictive Model Deployment: Build and deploy a predictive model using Amazon SageMaker with data preprocessing and hyperparameter tuning.
• Real-Time Inference Pipeline: Create a real-time inference pipeline using SageMaker endpoints and Lambda for model predictions.
• Data Preparation with Glue: Implement a data preparation pipeline using AWS Glue for ETL and data cleaning for ML workloads.
• Image Recognition Model: Develop an image classification model using SageMaker and AWS DeepLens for computer vision tasks.
• Natural Language Processing: Build an NLP model using Amazon Comprehend and SageMaker for sentiment analysis or text classification.
• Recommendation System: Create a recommendation engine using Amazon Personalize with user data stored in S3.
• Model Monitoring and Retraining: Set up model monitoring and automated retraining using SageMaker Model Monitor and pipelines.
• Cost Optimization for ML: Optimize ML workload costs using AWS Budgets and Spot Instances in SageMaker.
• Secure ML Pipeline: Implement a secure ML pipeline with encryption and IAM roles using AWS KMS and Lake Formation.
• Anomaly Detection System: Build an anomaly detection system using SageMaker and Kinesis for real-time data analysis.

Note: We offer customized project support to meet specific professional or academic requirements, ensuring alignment with your career goals.

Career Benefits of MLS-C01 Training

Why Learn MLS-C01?

The AWS Certified Machine Learning – Specialty (MLS-C01) certification is a globally recognized credential, enabling professionals to build and deploy ML models on AWS. Our course at DevOps Training Institute in Pune equips you to excel in machine learning roles in Pune’s competitive AI market.

With hands-on labs and placement support, you’ll build a portfolio that impresses employers, ensuring a rewarding career in 60 days.

Key Benefits

• High Demand: Growing need for ML engineers in AI-driven industries.
• Lucrative Salaries: Earn ₹8L–₹20L annually in roles like Machine Learning Engineer.
• Versatile Roles: Work as a Machine Learning Engineer, Data Scientist, or AI Specialist.
• Global Opportunities: MLS-C01 certification is valued worldwide.
• Future-Proof: Foundation for advanced AI and ML certifications.

MLS-C01 Job Roles and Salaries in Pune

Career Opportunities

Our MLS-C01 course prepares you for machine learning roles in Pune’s thriving AI and ML hub. Below are key job profiles, responsibilities, and salary ranges for AWS ML professionals in Pune.

Key Notes

• Salaries vary based on experience, company size, and project scope.
• Pune’s AI and ML hub offers competitive pay for ML professionals.
• MLS-C01 certification enhances earning potential and job prospects.

Why Choose Our MLS-C01 Training in Pune?

Your Path to Success

DevOps Training Institute in Pune offers a transformative MLS-C01 course, equipping you with skills to build and deploy ML models on AWS. Tailored for Pune’s AI and ML market, our training ensures you stand out to top employers.

With practical labs and career support, we help you achieve your machine learning career goals in just 60 days, backed by our Kharadi-based facility and expert instructors.

Why Us?

• Expert Instructors: Learn from AWS-certified ML professionals with 10+ years of experience.
• Hands-On Labs: Build ML models with SageMaker, Comprehend, and Rekognition.
• Placement Support: 100% assistance with resume building and interviews.
• Flexible Learning: Online and classroom options for Pune and Maharashtra learners.
• Industry Certifications: Earn MLS-C01 and prepare for advanced AI certifications.

MLS-C01 Training Modes in Pune

Flexible Learning Paths

Our MLS-C01 course offers multiple training modes to suit your needs, whether you’re in Kharadi or elsewhere in Maharashtra. Learn at our state-of-the-art facility in Pune or join live online sessions from anywhere.

Each mode includes hands-on labs and placement support, ensuring you’re ready for Pune’s competitive AI and ML job market.

Training Modes

• Classroom Training: In-person classes at our Kharadi, Pune center for hands-on learning.
• Online Training: Live, interactive sessions for learners in Pune, Mumbai, and beyond.
• Corporate Training: Customized programs for teams in Pune’s AI and ML companies.

Local Benefits

• Located in Kharadi, accessible for Pune and nearby areas like Hadapsar.
• Industry connections with Pune-based AI firms for internships and jobs.
• Flexible schedules for working professionals in Maharashtra.