Ameerpet Training Course

Lesson 1 • Setting Up Your Learning Environment

Guides learners through installing and configuring essential tools before technical training begins. Ensures a consistent, functional workspace from day one.

Lesson 2 • Overview of the Ameerpet IT Ecosystem

Introduces the history and significance of Ameerpet as a technology training hub. Sets context for the skills and roles covered throughout the course.

Lesson 3 • Study Habits and Training Discipline

Establishes effective routines for intensive technical learning. Connects personal productivity practices to long-term skill retention.

Lesson 1 • Data Structures: Lists, Arrays, and Maps

Explores core collection types and their manipulation methods. Prepares learners to store and process structured data in real programmes.

Lesson 2 • Variables, Data Types, and Operators

Covers primitive data types, variable declaration, and arithmetic and logical operators. Forms the syntactic base for all subsequent programming topics.

Lesson 3 • Debugging and Error Handling

Covers reading error messages, using debuggers, and writing exception-handling code. Builds the diagnostic mindset essential for professional development.

Lesson 4 • Control Flow and Decision Making

Teaches conditional statements and loop constructs to control programme execution. Enables learners to write programmes that respond to varying inputs.

Lesson 1 • Encapsulation and Access Control

Teaches data hiding through access modifiers and getter/setter methods. Reinforces the principle of controlled interaction with object state.

Lesson 2 • OOP Design Patterns Introduction

Introduces foundational design patterns such as Singleton, Factory, and Observer. Connects OOP theory to reusable architectural solutions used in industry.

Lesson 3 • Inheritance and Code Reuse

Covers single and multilevel inheritance, method overriding, and the super keyword. Enables learners to build class hierarchies that reduce code duplication.

Lesson 4 • Classes, Objects, and Constructors

Defines classes as blueprints and objects as instances, covering constructors and instance variables. Establishes the structural foundation of OOP design.

Lesson 1 • SQL Data Definition and Manipulation

Teaches CREATE, ALTER, INSERT, UPDATE, and DELETE statements with practical examples. Enables learners to build and populate database schemas from scratch.

Lesson 2 • Querying with SELECT and Joins

Covers SELECT clauses, filtering, sorting, and all major JOIN types. Develops the query-writing fluency required in most developer and analyst roles.

Lesson 3 • Relational Database Concepts

Covers tables, primary keys, foreign keys, and entity relationships. Provides the conceptual model needed before writing any SQL.

Lesson 4 • Aggregation, Grouping, and Subqueries

Introduces GROUP BY, HAVING, aggregate functions, and nested subqueries. Prepares learners to answer analytical questions using SQL alone.

Lesson 1 • JavaScript for Dynamic Interfaces

Introduces DOM manipulation, event handling, and fetch-based API calls. Connects static HTML pages to dynamic, interactive user experiences.

Lesson 2 • HTML Structure and Semantic Markup

Teaches document structure, semantic tags, forms, and accessibility basics. Establishes the markup foundation for all frontend development work.

Lesson 3 • Building and Testing a Simple Web App

Guides learners through building a CRUD application end-to-end and testing it manually. Consolidates all frontend and backend skills into a deployable project.

Lesson 4 • Backend Fundamentals with a Server Framework

Covers routing, request handling, middleware, and response formatting in a server framework. Bridges frontend knowledge to server-side application logic.

Lesson 1 • Manual Test Case Design

Covers equivalence partitioning, boundary value analysis, and exploratory testing. Develops the analytical skill to design thorough, efficient test suites.

Lesson 2 • Defect Reporting and Tracking

Teaches how to write actionable bug reports and use issue-tracking tools. Connects QA findings to the development workflow for efficient resolution.

Lesson 3 • API Testing and Performance Basics

Covers REST API testing with tools and introduces load testing concepts. Expands QA skills beyond UI to cover back-end and performance validation.

Lesson 4 • Testing Fundamentals and Terminology

Defines testing types, levels, and the software testing life cycle. Provides the vocabulary and conceptual framework for all QA work.

Lesson 1 • Infrastructure as Code Fundamentals

Covers declarative infrastructure provisioning using configuration files and templates. Prepares learners to manage cloud resources reproducibly and at scale.

Lesson 2 • CI/CD Pipeline Design and Implementation

Introduces continuous integration and delivery concepts and pipeline configuration. Connects code commits to automated build, test, and deployment workflows.

Lesson 3 • Cloud Computing Concepts and Services

Covers IaaS, PaaS, and SaaS models, core cloud services, and shared responsibility. Establishes the conceptual foundation for all cloud and DevOps work.

Lesson 4 • Linux Command Line for DevOps

Teaches essential Linux commands, file permissions, and shell scripting for automation. Provides the operating system fluency required in most DevOps roles.

Lesson 1 • Data Cleaning and Transformation

Covers handling missing values, duplicates, outliers, and data type conversion. Builds the data preparation skills that underpin all reliable analysis.

Lesson 2 • Building Dashboards and Reporting

Guides learners through building interactive dashboards and automated reports. Consolidates all analytics skills into deliverables used in professional settings.

Lesson 3 • Data Analysis Workflow and Tools

Introduces the end-to-end analytics workflow and the primary tools used in industry. Orients learners to the data analyst role and its deliverables.

Lesson 4 • Exploratory Data Analysis Techniques

Teaches descriptive statistics, correlation analysis, and distribution visualisation. Enables learners to uncover patterns and hypotheses from raw datasets.