SQL Alchemy Course Overview

SQL Alchemy Course Overview

### SQLAlchemy Course Overview

Unlock the potential of Object-Relational Mapping (ORM) with our comprehensive SQLAlchemy course, spanning 5 days (40 hours). Designed for individuals with a good knowledge of SQL and Python, this course provides an in-depth understanding of integrating SQL with Python.

In Day 1, you'll start with SQLAlchemy basics, setting up in Python and executing Basic queries. As you progress, delve into Advanced querying, Managing complex transactions, and Relationships across Day 2 and Day 3.

By Day 4, you'll master Concurrency, ORM best practices, and Database optimizations. Finally, on Day 5, integrate SQLAlchemy with web frameworks like Flask or Django, and fine-tune performance with real-world project work.

Through practical applications and hands-on projects, you'll leave this course with a robust skillset for designing efficient, scalable database solutions.

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1,675

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Course Fee 1,675
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1,675 (USD)
  • Live Training (Duration : 40 Hours)
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  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
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  • Live Training (Duration : 40 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

Prerequisites for SQLAlchemy Course:


  • Good knowledge of SQL.
  • Working knowledge of Python.

Target Audience for SQL Alchemy

The SQLAlchemy course from Koenig Solutions covers advanced Object-Relational Mapping (ORM) techniques and SQLAlchemy proficiency, targeting professionals with good SQL and Python knowledge.


  • Data Engineers
  • Backend Developers
  • Database Administrators (DBAs)
  • Python Developers
  • Software Engineers
  • Data Analysts
  • Application Developers
  • Technical Leads
  • IT Consultants
  • Full Stack Developers
  • DevOps Engineers
  • System Architects
  • Business Intelligence Developers
  • Quality Assurance Engineers with Database Testing Focus


Learning Objectives - What you will Learn in this SQL Alchemy?

Introduction:

The SQLAlchemy course provides a comprehensive foundation in Object-Relational Mapping (ORM) and advanced SQLAlchemy techniques, empowering students to manage and optimize SQL databases using Python effectively over five intensive days.

Learning Objectives and Outcomes:

  • Understand ORM Concepts

    • Grasp the benefits of Object-Relational Mapping (ORM).
    • Learn the role of SQLAlchemy in Python-SQL integration.
  • Master SQLAlchemy Core Fundamentals

    • Set up SQLAlchemy in a Python environment.
    • Create database connections and configure engines.
    • Execute basic SQL queries using SQLAlchemy Core.
  • Construct Advanced SQL Statements

    • Build complex SQL statements with SQLAlchemy Core.
    • Use expressions, functions, and SQL constructs.
    • Handle transactions and connection management.
  • Implement SQLAlchemy ORM

    • Declare models and map database tables to Python classes.
    • Perform CRUD operations: creating, reading, updating, and deleting data.
  • Manage Relationships in SQLAlchemy ORM

    • Understand and define one-to-one, one-to-many, and many-to-many relationships.
    • Navigate relationships and manage relationship persistence.
  • Apply Advanced ORM Techniques

    • Execute joins and eager loading for querying related objects.
    • Customize queries with advanced

Target Audience for SQL Alchemy

The SQLAlchemy course from Koenig Solutions covers advanced Object-Relational Mapping (ORM) techniques and SQLAlchemy proficiency, targeting professionals with good SQL and Python knowledge.


  • Data Engineers
  • Backend Developers
  • Database Administrators (DBAs)
  • Python Developers
  • Software Engineers
  • Data Analysts
  • Application Developers
  • Technical Leads
  • IT Consultants
  • Full Stack Developers
  • DevOps Engineers
  • System Architects
  • Business Intelligence Developers
  • Quality Assurance Engineers with Database Testing Focus


Learning Objectives - What you will Learn in this SQL Alchemy?

Introduction:

The SQLAlchemy course provides a comprehensive foundation in Object-Relational Mapping (ORM) and advanced SQLAlchemy techniques, empowering students to manage and optimize SQL databases using Python effectively over five intensive days.

Learning Objectives and Outcomes:

  • Understand ORM Concepts

    • Grasp the benefits of Object-Relational Mapping (ORM).
    • Learn the role of SQLAlchemy in Python-SQL integration.
  • Master SQLAlchemy Core Fundamentals

    • Set up SQLAlchemy in a Python environment.
    • Create database connections and configure engines.
    • Execute basic SQL queries using SQLAlchemy Core.
  • Construct Advanced SQL Statements

    • Build complex SQL statements with SQLAlchemy Core.
    • Use expressions, functions, and SQL constructs.
    • Handle transactions and connection management.
  • Implement SQLAlchemy ORM

    • Declare models and map database tables to Python classes.
    • Perform CRUD operations: creating, reading, updating, and deleting data.
  • Manage Relationships in SQLAlchemy ORM

    • Understand and define one-to-one, one-to-many, and many-to-many relationships.
    • Navigate relationships and manage relationship persistence.
  • Apply Advanced ORM Techniques

    • Execute joins and eager loading for querying related objects.
    • Customize queries with advanced
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