ACLM Institute of Professional Studies

PYTHON TRAINING

Best Python Training & Certifications

02 MonthsOnline / OfflineIntermediateACLM CertificationACLM Certification

Python Training covers detailed architecture of Python along with comparison to earlier existences. Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language.

COURSE OVERVIEW

Course Overview

ACLM Institute of Professional Studies presents a 02-month Intermediate Python Training programme for students and professionals. The course develops practical programming capability through Python fundamentals, data handling, functions, modules, exception handling, conditional and looping constructs, string and list manipulation, database interaction, algorithms, documentation and project work. Training is delivered Online / Offline through instructor-led, live one-on-one sessions, supported by notes, assignments and projects. The course fee is INR 10,000.00.

WHY THIS COURSE

Why Learn This Course?

Python is a versatile, high-level programming language with clear syntax and broad use across software development, automation, data handling and application programming. This ACLM programme focuses on building a structured foundation and applying Python concepts through problem-solving exercises, database interaction and practical project work. It is suitable for learners who want guided instruction and hands-on practice in a professional learning environment.

LEARNING OUTCOMES

What You Will Learn

Python character set, tokens and the basic structure of a Python programme
Variables, assignments, input, output, data types, operators and expressions
Mutable and immutable data concepts
Exception handling, try-except blocks and user-defined exceptions
Functions, parameters, return behaviour, scope and user-defined modules
Built-in functions and practical use of the math and random modules
Conditional statements, range() and looping constructs
String indexing, slicing, functions and methods
Creating, accessing and manipulating lists using operations, functions and methods
Problem-solving methodology, algorithms, flowcharts, structured programming and coding efficiency
Documentation, stylistic guidelines, error identification and programme maintenance
Reading data with relevant modules and interacting with SQL, MySQL and other databases
Running SQL queries in a secured environment and understanding SQL procedures
Planning and developing a Python-based game project

SKILLS

Skills You Will Gain

Write structured Python programmes using appropriate syntax and conventions
Use variables, data types, operators, expressions and input/output operations effectively
Design reusable functions and work with parameters and variable scope
Apply conditional logic and iteration to solve programming problems
Manipulate strings and lists using suitable operations and methods
Handle common exceptions and define custom exceptions where appropriate
Use modules, imports and selected built-in functionality
Translate problem statements into algorithms, flowcharts and structured programmes
Read, document, test and maintain Python code more systematically
Connect Python with SQL, MySQL and other databases for data interaction
Develop a practical project outline and implement a Python game project

WHO SHOULD JOIN

Who Should Join?

Students and professionals seeking structured, practical Python programming training at an intermediate level. The course is also suitable for learners who want to strengthen programming fundamentals and apply Python to data handling, database interaction and project work.

PREREQUISITES

Prerequisites

Basic programming knowledge is required. Familiarity with general programming logic will help learners progress through functions, data handling, database interaction and project exercises.

TRAINING APPROACH

Training Methodology

ACLM delivers the programme through instructor-led, live one-on-one training in Online / Offline mode. Learning is supported by explanations, guided coding practice, notes, assignments, problem-solving activities and projects. Offline training is available in Greater Noida West, Greater Noida, Noida, Ghaziabad and Delhi NCR. Online learning is available for learners in India and international markets. Recorded training is not included.

CURRICULUM

Detailed Course Syllabus

Module	Topics / Lessons
Python Fundamentals and Programme Structure Build a reliable foundation in Python syntax and the basic components of a Python programme. Learners begin with the character set and tokens before progressing to variables, assignments and simple interaction.	Introduction to Python and Python Character Set — Understand Python as a high-level programming language and examine the character set used when writing programmes. 45 min Tokens and the Barebones of a Python Programme — Identify the basic tokens and understand the essential structure of a simple Python programme. 50 min Variables and Assignments — Create variables, assign values and use naming conventions in simple Python statements. 50 min Simple Input and Output — Accept basic user input and display output using clear, readable programme statements. 45 min
Data Handling and Expressions Work with Python data types and learn how operators and expressions support calculation, comparison and programme logic.	Introduction to Data Handling — Understand how Python represents and processes values in a programme. 40 min Python Data Types — Work with common data types and select suitable types for different programming requirements. 55 min Mutable and Immutable Data — Distinguish between mutable and immutable data and consider the effect of changes during programme execution. 45 min Operators and Expressions — Use arithmetic, comparison and logical expressions to process values and construct conditions. 60 min
Conditional and Looping Constructs Develop programme flow using statements, conditions, ranges and iteration. Exercises emphasise structured logic and repeatable solutions.	Python Statements and Programme Flow — Understand statements and how Python executes instructions in sequence. 40 min The if Statement — Use if-based decision-making to handle alternative programme conditions. 60 min The range() Function — Generate controlled numeric sequences for repeated operations and loop construction. 40 min Iteration and Looping Statements — Apply looping statements to repeat operations, process collections and solve repetitive tasks. 70 min
Functions, Scope and Modules Learn to divide programmes into reusable components and organise related functionality through functions and modules.	Introduction to Functions — Understand why functions are used and identify opportunities to decompose a programme into reusable units. 40 min Defining and Invoking Functions — Define functions, call them from a programme and organise function-based solutions. 60 min Passing Parameters and Types of Functions — Pass values into functions and examine different functional patterns used in Python programmes. 60 min Scope of Variables — Understand variable scope and use names appropriately within functions and programme sections. 45 min Structure of a Python Module — Organise code into a Python module and understand the value of modular programme design. 45 min Imports, Built-in Functions, math and random — Import built-in functionality and practise using selected functions from the math and random modules. 65 min
Exception Handling and Code Quality Make programmes more dependable by handling errors, documenting code and applying a systematic problem-solving approach.	Types of Errors and Problem-Solving Methodology — Recognise common error categories and apply a step-by-step method to analyse programming problems. 55 min try-except Blocks — Handle appropriate exceptions with try-except blocks and improve programme behaviour when errors occur. 65 min Handling Various Exceptions — Identify and respond to different exception situations without hiding underlying programming issues. 55 min Defining Own Exceptions — Understand when a user-defined exception can communicate a specific application condition. 45 min Documentation, Style and Programme Maintenance — Apply stylistic guidelines, write useful documentation and maintain code for clarity and future changes. 60 min Coding Efficiency — Review programme structure and improve readability, reuse and efficiency through guided exercises. 45 min
Strings and Lists Manipulate two core Python data structures through indexing, slicing, operations, functions and methods.	String Fundamentals — Create strings and understand how text is represented in Python. 40 min Accessing String Elements and Slices — Access individual elements and use string slices to extract selected portions of text. 60 min String Functions and Methods — Apply suitable string functions and methods to process and transform text. 60 min Creating and Accessing Lists — Create lists, access list elements and use lists to store related values. 50 min List Operations — Perform common operations on lists and understand how list data can be processed. 55 min List Functions and Methods — Use list functions and methods to update, inspect and manage list contents. 65 min
Algorithms, Flowcharts and Structured Programming Translate requirements into logical solutions before coding. This module connects problem analysis with maintainable Python implementation.	Algorithms and Flowcharts — Represent a problem-solving sequence using written algorithms and flowcharts. 60 min Writing Algorithms — Develop step-by-step algorithms for Python programming exercises and practical tasks. 55 min Writing Structured Programmes — Convert algorithms into organised programmes using functions, conditions, loops and appropriate data structures. 70 min Problem Analysis and Implementation Review — Review a solution against its requirements, identify improvements and prepare code for maintenance. 55 min
Data Reading, SQL and Database Interaction Introduce data reading modules and the principles of connecting Python with SQL, MySQL and other databases for practical data interaction.	Introduction to Data Reading Modules — Understand the role of data reading modules and identify suitable approaches for processing external data. 45 min Using XLRD with Python — Explore the use of XLRD in a Python data-reading workflow, subject to the supported environment and file requirements. 50 min Python Interaction with SQL and MySQL — Understand how Python can interact with SQL, MySQL and other databases to exchange and process data. 70 min Running SQL Queries in a Secured Environment — Practise the principles of executing queries carefully, validating inputs and protecting database operations. 65 min Building SQL Procedures and Integration Review — Review SQL procedures and connect database operations with Python programme logic through a guided exercise. 60 min
Practical Project Work and Game Programming Consolidate the course through project planning, implementation, review and presentation. Learners apply programming fundamentals to a small game project.	Writing Good Software — Review clarity, structure, documentation, testing and maintainability requirements for a practical Python project. 50 min Game Programming Issues — Identify design, logic, input, flow and testing issues that commonly arise while planning a game project. 55 min Outlines of Different Game Projects — Compare possible game-project outlines and select a manageable concept for implementation. 45 min Project Planning with Algorithms and Flowcharts — Prepare the game logic, algorithm and flowchart before beginning implementation. 60 min Implementation, Testing and Documentation — Build the project, test its behaviour, handle relevant exceptions and document the final programme. 90 min Project Review and Guided Presentation — Review the completed work, explain the programme structure and identify opportunities for improvement. 60 min

HANDS-ON EXPERIENCE

Practical Projects

Python Programming Practice Portfolio — Create a structured collection of exercises covering variables, input/output, data types, operators, conditional statements, loops, strings, lists, functions, modules and exception handling. The portfolio should include readable code, comments, test cases and brief documentation. Tools: Python programming environment, notes and learner assignments
Python Database Interaction Exercise — Build a small Python application that reads or processes data and interacts with SQL or MySQL. The work should demonstrate secure query execution, suitable exception handling and clear documentation of the database operations and SQL procedures used. Tools: Python, SQL, MySQL or another supported database environment
Python Game Project — Plan and develop a small Python game based on the project guidelines. Learners review game-programming issues, prepare an outline, define the rules and flow, implement the programme using functions and control structures, and test the finished work. Tools: Python, algorithms, flowcharts and structured programming techniques

CAREER APPLICATION

Career Opportunities

The skills developed through this programme can support further learning and entry-level or developing work in Python programming, software development, scripting, database-oriented programming and application-support environments. Actual career outcomes depend on individual practice, prior experience, portfolio quality and employer requirements. ACLM does not make placement, employment or salary guarantees.

CERTIFICATION

Certification

Learners who complete the applicable course requirements receive an ACLM Certificate of Participation. The certification available for this programme is not described as an external accreditation or professional licence.

FAQ

Frequently Asked Questions

What is the duration of the ACLM Python Training programme?

The programme duration is 02 Months.

Who can join this Python course?

The course is designed for students and professionals with basic programming knowledge.

What is the course level?

The course level is Intermediate.

Is the training available online and offline?

Yes. Training is available Online / Offline through instructor-led, live one-on-one sessions.

Where is offline training available?

Offline training is available in Greater Noida West, Greater Noida, Noida, Ghaziabad and Delhi NCR.

Is recorded training included?

No. The supplied course details specify live training and do not include recorded training.

What certification is provided?

The available credential is an ACLM Certificate of Participation, subject to the applicable course requirements.

What topics are covered?

Topics include Python fundamentals, data handling, exception handling, modules, functions, conditional and looping constructs, strings, lists, algorithms, documentation, database interaction and practical project work.

Does the course include projects and assignments?

Yes. The training includes notes, assignments and projects, including a Python programming portfolio, database interaction exercise and game project.

What is the course fee?

The supplied course fee is INR 10,000.00.

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