Key Points

Certification
Skill Development
Practical Experience
Industry-Relevant Knowledge
Networking Opportunities
Portfolio Building
Lifelong Learning
Job Placement Assistance
Personality Development & Soft Skills

Training Key Features

Hands-on Practical Training

Our program includes 60 hours of practical sessions, focusing on building and managing real-world AWS cloud solutions.

Guaranteed Interview Opportunities

We provide at least 5 guaranteed interview opportunities with top companies seeking AWS professionals.

Assured Job Placement Assistance

Our dedicated placement team offers comprehensive support to help you secure a job in the AWS ecosystem.

Professional Resume Building Support

We guide you in crafting a professional resume that highlights your AWS skills and projects.

Dedicated Interview Preparation

Our tailored interview preparation sessions ensure you’re ready to excel in technical and HR interviews.

Expert Instruction from Experienced Professionals

Learn from industry experts with extensive experience in AWS cloud architecture and deployment.

AWS Training Key Features

Prerequisite

Basic understanding of IT services is recommended but not mandatory.

Anyone interested in cloud computing can enroll, including fresh graduates, IT professionals, and system administrators.

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+91 7887885052

Embark on an enthralling journey to master the dynamic world of machine learning through the lens of AWS. Machine learning, the new black of technology, has revolutionized the way we analyze, predict, and visualize data.

As a data scientist, you face unique challenges in handling massive volumes of structured and unstructured data while navigating the intricate landscape of machine learning algorithms. This course simplifies the process, empowering you to conquer predictive analytics projects with ease in three comprehensive steps: data preparation, model tuning, and model selection.

  • AML Supports and S3 Interface
  • Model Building and Evaluation
  • Machine Learning Data
  • Machine Learning Console – 1
  • Machine Learning Console – 2
  • AWS IAM
  • Machine Learning Data Sources
  • How to Load Your Data
  • Data Nuts & Bolts – 1
  • Data Nuts & Bolts – 2
  • Data Considerations

  • Introduction
  • Recipes
  • Evaluations
  • Predictions
  • Real-Time Predictions
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