AIML Full Stack Development

Advance Python Programming Language ( XER – 001 )

ADVANCE PYTHON PROGRAMMING :  Perfect Platform to Learn Machine Learning and Data Science (XER - 001 )

LEVEL - ENTRY  | FORMAT - INSTRUCTOR  LED TRAINING | Days : 5 Days

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Prerequisites

  • Fundamentals of Programming, Data Structure and Object-Oriented Technique.
  • Basic Knowledge of Git/GitHub, Jupyter Notebook, Visual Studio, Virtual Environment.
  • Fundamental Knowledge of Database and PgAdmin.
  • Understanding of Visual Studio Framework.

Objectives

  • Master Advance Python Concepts.
  • Optimize Code Performance, File I/O and Serialization.
  • Leverage Python Libraries, Framework and Packages.
  • Implement Design Pattern in Python.
  • Work with Databases and ORM.
  • Integrate with other Technologies, Asynchronous App.

Datasheet

Advance Python Programming - 001

Description

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Training Objectives

  • Students will have a deep understanding of advanced Python topics such as generators, decorators, metaclasses, and context managers.
  • Learners will be able to optimize Python code for performance, using memory management techniques, and effectively implement concurrent programming with asyncio, threading, and multiprocessing.
  • Students will gain practical experience using popular Python libraries for data science and web development.
  • Participants will be able to integrate Python applications with relational (SQL) & non-relational (NoSQL) databases.
  • Learners will be able to create, package, and distribute their Python modules and packages, contributing to the open-source ecosystem.

Target Audience

  • Software Developer/Data Scientist.
  • Machine Learning Engineer/ DevOps Engineer.
  • Full Stack Developer/Automation Engineers .
  • Research Scholar / Students with Python Fundamentals.
  • Cyber Security Experts.

Course Module

  1. Component Tracking - Dependency Management, Component Vulnerability Mapping, Version Tracking.
  2. Risk Acceptance Waivers.
  3. Engagement Scheduling - Planned, Automation and Recurring Engagement.
  4. Custom Field and Attributes.
  5. Advanced Reporting and Analytics.
  6. Finding Templates.
  7. Multi-Tenancy Support - Isolated Work Spaces, Role-Based Access for Tenants.
  8. Benchmarking and Historical Trends - Securing Trend Analysis.
  9. Multiple Product Types.
  10. Integrated Risk Scoring Models.
  11. Engagement Automation with CICD Pipelines - Seamless Integration with DevOps Tools.
  12. Securing as Code.
  13. Configuration as Code.
  14. Automated Scanning via API.

Scope 

  • Level - Advance
  • 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.
  • AIML Applications and DefectDojo Integrations.

Contact Us

  • WhatsApp : +919164315460
  • Email : info@xerxez.in