Name: AWS Certified Machine Learning – Specialty | AI & ML Expertise
Price: ₹60,000.00 INR
Availability: InStock

Training Syllabus

Curriculum Designed by Experts

Introduction to Machine Learning on AWS

Topics

Overview of Machine Learning and Deep Learning
AWS Machine Learning Services
AWS Global Infrastructure for ML

Data Engineering

Topics

Data Collection and Integration
Data Cleaning and Preparation
Feature Engineering and Selection
Data Storage Solutions (Amazon S3, RDS, DynamoDB)

Exploratory Data Analysis (EDA)

Topics

Data Visualization Techniques
Statistical Analysis
Using Amazon QuickSight for Visualization
Jupyter Notebooks and AWS SageMaker

Model Training and Evaluation

Topics

Supervised and Unsupervised Learning
Model Training with AWS SageMaker
Hyperparameter Tuning
Model Evaluation Metrics and Techniques

Advanced Machine Learning

Topics

Deep Learning with AWS SageMaker
Natural Language Processing (NLP)
Computer Vision Techniques
Reinforcement Learning

Deployment and Operationalization

Topics

Deploying ML Models with AWS SageMaker
AWS Lambda and AWS Step Functions for ML
Monitoring and Logging with Amazon CloudWatch
CI/CD for Machine Learning

Security and Compliance

Topics

AWS Identity and Access Management (IAM) for ML
Data Encryption and Key Management
Compliance and Security Best Practices
Secure Deployment of ML Models

Cost Optimization

Topics

Managing and Optimizing ML Costs
AWS Pricing Models
Resource Allocation and Optimization

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Training Details

What is AWS Certified Machine Learning – Specialty Training?

The AWS Certified Machine Learning – Specialty course provides in-depth training on the implementation of machine learning and deep learning models using AWS services. It covers a broad range of topics, from data preparation and feature engineering to model training, tuning, and deployment.

Why enroll for AWS Certified Machine Learning – Specialty Training?

Gain expertise in building and deploying machine learning models on AWS.
Enhance career opportunities and earning potential.
Prepare for the AWS Certified Machine Learning – Specialty certification exam.
Stay updated with the latest AWS ML technologies and best practices.

What are the benefits of joining AWS Certified Machine Learning – Specialty Training?

Expert-led instruction and mentoring.
Hands-on labs and real-world scenarios.
Access to AWS ML resources and services.
Comprehensive study materials and practice exams.
Networking opportunities with peers and professionals.

What skills will you learning during AWS Certified Machine Learning – Specialty Training?

Data engineering and preparation
Exploratory data analysis (EDA)
Model training, tuning, and evaluation
Advanced machine learning techniques
Model deployment and operationalization
Security and compliance in ML

What tools are covered during AWS Certified Machine Learning – Specialty Training?

AWS SageMaker
Amazon S3, RDS, and DynamoDB
Amazon QuickSight
Jupyter Notebooks
AWS Lambda and Step Functions
Amazon CloudWatch

What are the objectives of AWS Certified Machine Learning – Specialty Training?

Understand and apply machine learning concepts on AWS.
Build, train, and deploy scalable ML models.
Perform data engineering and feature selection.
Evaluate and tune machine learning models.
Implement advanced ML techniques for NLP and computer vision.
Ensure security and compliance in ML workflows.

Who should go for this AWS Certified Machine Learning – Specialty Training?

Data Scientists
Machine Learning Engineers
Data Engineers
AI Developers
IT professionals focusing on machine learning

What are the Prerequisite of AWS Certified Machine Learning – Specialty Training?

One to two years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud.
Understanding of AWS core services and basic ML concepts.

What will you learning during AWS Certified Machine Learning – Specialty Training?

Machine learning and deep learning fundamentals.
Data engineering and feature selection techniques.
Building and deploying ML models using AWS SageMaker.
Advanced ML techniques for NLP and computer vision.
Ensuring security and compliance in ML workflows.
Cost optimization strategies for ML on AWS.

What are the system requirements for AWS Certified Machine Learning – Specialty Training?

A computer with at least 8 GB of RAM.
Internet connection for accessing course materials and labs.
An AWS account for hands-on practice.

What are the career opportunities after AWS Certified Machine Learning – Specialty Training?

Data Scientist
Machine Learning Engineer
AI Developer
Data Engineer
IT Professional (ML Focus)

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AWS Certified Machine Learning – Specialty

Why enroll for AWS Certified Machine Learning – Specialty Training?

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