AIML FULLSTACK PRO. END-TO-END DEVELOPEMNT (XER - 101 )
LEVEL - INTERMEDIATE | FORMAT - INSTRUCTOR LED TRAINING | Days : 5 Days
Prerequisites
- Participants must be familiar with Data Structure concepts, including Dictionary, Tuples and Data Types.
- Participants also should be familiar with basic concepts Machine Learning.
- Experience with Technologies and Version Control System is a plus.
- Basic Knowledge of Python Programming.
Datasheet
Description |
Training Objectives
- Gain in-depth knowledge of building, deploying, and managing AIML applications using end-to-end development strategies.
- Learn to design, train, and optimize ML models, and effectively deploy them into production environments
- Understand the full cycle of ML model lifecycle management, including versioning, monitoring, and orchestration using MLFlow.
- Explore Deployment, Monitoring, Logging, CI/CD, Retraining, Model Orchestrations.
Target Audience
- Early Career Data Scientist with Python Knowledge.
- Software Engineer / IT Consultant.
- IT Professional/Cloud Engineer/Cloud Developer.
- Cyber Security Expert with Programming Knowledge.
- Academics/Researchers.
Course Module
- Introduction to Machine Learning.
- Data Engineering for Machine Learning.
- Machine Learning Algorithms.
- Machine Learning Model Design.
- Infrastructure as Code - Terraform.
- Git/DVC/Github.
- Model Orchestration using MLFlow.
- ML Model retraining and Deployment.
- Docker and Kubernetes.
- Database - PostgreSQL.
- Front End Design - Django Framework.
- Cloud Deployments - AWS.
- DevOps - Github Action.
- Security Scan - Trivy and SonarQube.
- Overview of DevSecOps.
- What is next in your training and certification Journey.
Scope
- Level - Intermediate
- Duration : 5 Days
- Format : Lecture and Hands-On Lab
- Platform Support : On-Prime Data Center / Cloud Platform
- Programming Language : Python Programming
Lab Requirements
- Cloud Platform - AWS Services - S3, EKS, RDS, EC2
- Windows OS
- Open Source Software
- Github Account
Contact Us
- WhatsApp : +919164315460
- Email : info@xerxez.in