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Hyderabad • Offline & Practical Training

Upgrade Your Skills With Industry Ready Courses

Learn practical technology skills with expert trainers at Master Tech Academy Plus. Build real projects and become job-ready.

✔ Practical lab environment ✔ Small batch sizes ✔ Certification on completion
Students learning at Master Tech Academy Plus

Our Students & Training Environment

Get a glimpse of our classroom, lab facilities, and real training sessions.

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Our Popular Courses

Choose from beginner to advanced level programs designed for real-world skills.

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Basic Computer

Perfect for beginners who want to start with essential computer skills.

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Advance Excel + AI

Master Excel with AI-powered workflows for business reporting and automation.

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MS Office (Word, Excel, PowerPoint)

Complete MS Office suite training for students, professionals, and businesses.

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Cybersecurity

Learn how to secure networks, systems, and applications from cyber threats.

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AI Agent Course

Build AI-powered automations and agents using modern tools and workflows.

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Scratch Programming

Fun visual programming for kids to learn logic, animation, and game design.

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Python with AI

From Python basics to AI and machine learning concepts with projects.

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Tally Prime

Professional accounting with Tally Prime, GST, inventory and payroll.

Course Modules & Details

Expand each course to see key modules and what you will learn.

Duration: 30 Days

Module 1: Excel Fundamentals Refresher & ChatGPT Overview

  • Introduction to Course Structure
  • Overview of ChatGPT and How it Can Assist in Excel Tasks
  • Basic Excel Functions: SUM, AVERAGE, MIN, MAX, COUNT, COUNTA
  • Text Functions: CONCATENATE, TEXT, LEFT, RIGHT, MID
  • Date Functions: TODAY, DATE, YEAR, MONTH, DAY
  • ChatGPT Assistance: Formula Syntax and Examples

Module 2: Data Management and Basic Tools

  • Sorting and Filtering Data
  • Find & Replace Operations
  • Introduction to Conditional Formatting
  • ChatGPT Assistance: Basic Data Management and Troubleshooting

Module 3: Advanced Lookup Functions

  • VLOOKUP, HLOOKUP, INDEX, MATCH, XLOOKUP
  • Combining Functions for Dynamic Lookups
  • ChatGPT Assistance: Lookup Formula Construction

Module 4: Pivot Tables and Pivot Charts

  • Creating PivotTables and PivotCharts
  • Filtering and Analyzing Data with PivotTables
  • ChatGPT Assistance: PivotTable Troubleshooting

Module 5: Advanced Conditional Formatting

  • Creating Complex Rules Using Formulas
  • Using Color Scales, Icon Sets, and Data Bars
  • ChatGPT Assistance: Complex Formatting Examples

Module 6: Data Validation & Drop-down Lists

  • Setting Up Data Validation for Cells
  • Creating and Managing Drop-down Lists
  • Error and Input Messages
  • ChatGPT Assistance: Custom Data Validation Rules

Module 7: Introduction to Power Query

  • Importing and Transforming Data with Power Query
  • Basic Data Cleaning and Transformation
  • ChatGPT Assistance: Power Query Transformations and M Code

Module 8: Excel Charts & Data Visualization

  • Creating and Customizing Various Chart Types
  • Using Dynamic and Combo Charts
  • ChatGPT Assistance: Chart Design and Customization Tips

Module 9: Advanced Excel Formulas

  • Nested IF, SUMIFS, COUNTIFS, and Logical Functions
  • Data Analysis with Multiple Conditions
  • ChatGPT Assistance: Formula Debugging and Optimization

Module 10: Slicers and Timelines for Interactive Data

  • Creating and Using Slicers
  • Linking Slicers to Multiple PivotTables and Charts
  • ChatGPT Assistance: Slicer Usage and Troubleshooting

Module 11: Introduction to Macros & VBA

  • Recording and Editing Macros
  • Basic VBA Scripting for Task Automation
  • ChatGPT Assistance: VBA Script Generation and Debugging

Module 12: Advanced Macros & VBA Techniques

  • Writing Complex VBA Scripts (Loops, Conditions)
  • Custom VBA Functions for Automation
  • ChatGPT Assistance: Writing and Debugging Advanced VBA

Module 13: Data Modeling and Power Pivot

  • Building Data Models with Power Pivot
  • Using DAX Functions for Calculated Columns and Measures
  • ChatGPT Assistance: DAX Syntax and Best Practices

Module 14: Power BI Integration with Excel

  • Connecting Excel to Power BI
  • Basic Power BI Visualizations and Data Models
  • ChatGPT Assistance: Power BI Integration and DAX Queries

Module 15: Advanced Data Analysis: What-If Analysis & Solver

  • Using Data Tables, Goal Seek, and Solver for Analysis
  • Scenario Analysis for Forecasting and Business Planning
  • ChatGPT Assistance: What-If Scenarios and Optimization

Module 16: Advanced Data Transformation with Power Query

  • M Code for Advanced Data Transformations
  • Combining Multiple Data Sources for Analysis
  • ChatGPT Assistance: Writing Complex M Code

Module 17: Financial Functions in Excel

  • Mastering NPV, IRR, PV, and PMT
  • Budgeting, Forecasting, and Investment Analysis
  • ChatGPT Assistance: Financial Modeling with Excel Functions

Module 18: Introduction to Excel Dashboards

  • Key Elements of a Dashboard (KPIs, Charts, Tables)
  • Creating Interactive Dashboards with Slicers and Timelines
  • ChatGPT Assistance: Dashboard Design Tips and Best Practices

Module 19: Advanced Excel Dashboards

  • Multi-Page, Interactive Dashboards
  • Integrating Dynamic Data Updates with Power Query
  • ChatGPT Assistance: Advanced Dashboard Optimization

Module 20: Using External Data in Excel

  • Importing and Analyzing Data from External Sources (APIs, Web Scraping)
  • Using Power Query for External Data Connections
  • ChatGPT Assistance: External Data Integration Techniques

Module 21: Excel for Business Intelligence

  • Building Business Intelligence Reports in Excel
  • Using Power Pivot and Power Query for BI
  • ChatGPT Assistance: Excel for Business Intelligence Best Practices

Module 22: Final Project - Part 1 (Excel Tasks)

  • Analyzing and Visualizing Business Data with Advanced Excel Techniques
  • Applying PivotTables, Formulas, Macros, and Power Query

Module 23: Final Project - Part 2 (Dashboards & Automation)

  • Creating Dashboards and Automating Tasks with Macros/VBA
  • Integrating Final Report with Dynamic Data Models

Module 24: ChatGPT for Real-World Excel Problem Solving

  • Practical Use of ChatGPT for Excel Troubleshooting and Optimization
  • Applying ChatGPT for Formula Debugging and Optimization

Module 25: Course Wrap-up & Final Project Review

  • Recap of Key Learnings and Tools Covered
  • Reviewing and Submitting Final Project
  • Course Feedback and Future Learning Pathways
Duration: 30 Days Mode: Practical + Mini Projects

Week 1 – Python Fundamentals (Day 1–7)

Day 1 – Introduction
  • What is Programming
  • What is Python
  • Installing Python & VS Code
  • Running first program
  • Practice: Print statements, Simple calculator
Day 2 – Variables & Data Types
  • Variables, Numbers, Strings
  • Input from user
  • Practice: Age calculator, Name greeting program
Day 3 – Operators
  • Arithmetic, Comparison, Logical operators
  • Practice: Marks percentage calculator
Day 4 – Conditional Statements
  • if, if-else, nested if
  • Practice: Even / Odd checker, Grade system program
Day 5 – Loops
  • for loop, while loop
  • Practice: Multiplication table, Number guessing game
Day 6 – Functions
  • What is function, Creating functions, Parameters
  • Practice: Calculator using functions
Day 7 – Mini Project 1

Project: Student Result System

  • Enter marks, Calculate percentage, Display grade

Week 2 – Python Intermediate (Day 8–14)

Day 8 – Lists
  • List creation, Indexing, List functions
  • Practice: Student marks list
Day 9 – Tuples & Sets
  • Tuple basics, Set operations
Day 10 – Dictionaries
  • Key-value data, Access dictionary
  • Practice: Student database
Day 11 – File Handling
  • Create file, Read file, Write file
Day 12 – Exception Handling
  • try / except, Error handling
Day 13 – Python Libraries
  • Introduction to libraries, Installing packages, pip basics
Day 14 – Mini Project 2

Project: To-Do List App

  • Add tasks, View tasks, Save in file

Week 3 – Introduction to AI (Day 15–21)

Day 15 – Introduction to AI
  • What is AI, AI vs Machine Learning, AI applications
Day 16 – Python for AI
  • NumPy basics, Arrays
Day 17 – Data Handling
  • Pandas basics, Data frames, Reading CSV
Day 18 – Data Visualization
  • Matplotlib basics, Bar chart, Line chart
Day 19 – Machine Learning Basics
  • What is Machine Learning, Types of ML
Day 20 – First AI Model
  • Using Scikit-Learn: Predict house price, Predict student marks
Day 21 – Mini Project 3

Project: Student Marks Prediction AI

  • Input study hours, Predict marks

Week 4 – AI Projects (Day 22–30)

Day 22 – AI Chatbot Basics
  • What is chatbot, Python chatbot logic
Day 23 – Chatbot Development

Project: Simple Chatbot (Greeting bot, FAQ bot)

Day 24 – Image Processing Basics
  • OpenCV introduction, Read image
Day 25 – AI Image Classifier
  • Simple image recognition
Day 26 – AI Text Generator
  • Using AI APIs
Day 27 – Final Project Planning

Options: AI Chatbot, AI Attendance System, AI Text Generator, AI Recommendation System

Day 28 – Final Project Development

Coding and testing

Day 29 – Project Completion

UI improvement, Debugging

Day 30 – Project Presentation + Certification

🎓 Certificate distribution

Duration: 30 Days

Week 1: Cybersecurity Fundamentals

  • Day 1: What is Cybersecurity? Differences from IT & InfoSec
  • Day 2: The CIA Triad: Confidentiality, Integrity, Availability
  • Day 3: Types of Cyber Threats (Malware, Phishing, Ransomware)
  • Day 4: Authentication, Authorization & Accountability (IAAA)
  • Day 5: Risk Management & Privacy Principles
  • Day 6: Security Governance & Ethics
  • Day 7 Task: Analyze a simple phishing email

Week 2: System & Network Security

  • Day 8: Operating System Security (Windows/Linux Basics)
  • Day 9: Network Fundamentals (OSI Model, TCP/IP)
  • Day 10: Firewalls, IDS/IPS & VPNs
  • Day 11: Access Control Models (DAC, MAC, RBAC)
  • Day 12: Wireless Security & Encryption Protocols
  • Day 13: Physical vs Logical Security
  • Day 14 Task: Set up a basic firewall rule

Week 3: Threats, Attacks & Defence

  • Day 15: Social Engineering & Insider Threats
  • Day 16: Common Attacks: SQL Injection, XSS, DoS/DDoS
  • Day 17: Cryptography Basics (Symmetric vs Asymmetric)
  • Day 18: Hashing, Digital Signatures & Certificates
  • Day 19: Secure Software Development Lifecycle (SDLC)
  • Day 20: Vulnerability Assessment & Penetration Testing
  • Day 21 Task: Use an online tool to scan a website

Week 4: Real-World Applications & Career Prep

  • Day 22: Incident Response & Forensics
  • Day 23: Business Continuity & Disaster Recovery
  • Day 24: Cloud Security (Azure, AWS Basics)
  • Day 25: Mobile Security (Android/iOS Threats)
  • Day 26: Compliance & Legal Frameworks (GDPR, HIPAA)
  • Day 27: Cybersecurity Tools (Wireshark, Nmap, Metasploit)
  • Day 28 Task: Simulate a basic attack in a virtual lab

Final Days: Review & Showcase

  • Day 29: Review Key Concepts + Career Paths (SOC Analyst, Pen Tester)
  • Day 30: Final Project: Create a Cybersecurity Risk Report for a mock company
Duration: 30 Days

Module 1: Basics of Scratch & Creativity

  • Day 1: Intro to Scratch (Interface, Coding concepts)
  • Day 2: Sprites & Stage (Adding, resizing, backgrounds)
  • Day 3: Motion Blocks (Coordinates, movement)
  • Day 4: Looks Blocks (Costumes, effects, speech)
  • Day 5: Sound Blocks (Adding sounds, voice recording)
  • Day 6: Events (Green flag, key press, broadcast)
  • Day 7 Project: Talking & Moving Cartoon Character

Module 2: Logic & Interaction

  • Day 8: Control Blocks (Loops, waiting)
  • Day 9: Conditional Statements (If-Else, decision making)
  • Day 10: Sensing Blocks (Touching, mouse/key sensing)
  • Day 11: Variables (Creating, changing scores)
  • Day 12: Operators (Math, logic, comparison)
  • Day 13: Simple Game Logic (Scoring, timer)
  • Day 14 Project: Catch the Ball Game

Module 3: Animation & Game Design

  • Day 15: Advanced Motion (Glide, bounce, edge detection)
  • Day 16: Costume Animation (Walking, frame-by-frame)
  • Day 17: Multiple Sprites interaction
  • Day 18: Cloning (Create/delete clones)
  • Day 19: Background Switching (Levels, story scenes)
  • Day 20: Game Controls (Keyboard, speed)
  • Day 21 Project: Maze Game

Module 4: Advanced Concepts & Final Project

  • Day 22: Broadcast Messages (Scene switching, levels)
  • Day 23: Timers & Lives (Game over logic, restart)
  • Day 24: Sound & Effects (Background music, SFX)
  • Day 25: Debugging (Finding errors, optimization)
  • Day 26 Project: Animated Story
  • Day 27: Game Improvement (Difficulty, levels)
  • Day 28: Final Project Planning
  • Day 29: Final Project Development (Student Choice)
  • Day 30: 🎓 Presentation & Certificate Distribution
Duration: 30 Days

Module 1: Introduction to Tally Prime

  • Features, Benefits, Installation
  • Tally interface overview
  • Company creation, alteration, deletion

Module 2: Basic Accounting in Tally

  • Accounting basics for non-commerce
  • Golden Rules of Accounting
  • Managing Groups, Ledgers, Voucher types
  • Journal entries and voucher entry

Module 3: Inventory Management

  • Masters: Stock Groups, Items, Units, Godowns
  • Inventory vouchers: Purchase, Sales, Note entries

Module 4: Accounting Vouchers

  • Payment, Receipt, Contra, Journal, Sales & Purchase
  • Debit & Credit Notes, Post-dated vouchers

Module 5: Bill-wise Accounting

  • Enabling details, Reference types
  • Bill settlement and outstanding reports

Module 6: Banking in Tally

  • Cheque management, Bank reconciliation
  • Deposit slips, payment advice, e-Payments

Module 7: GST in Tally Prime

  • Basics of GST, Activation in Tally
  • GST setup for company and ledgers
  • GST-compliant entries and reports

Module 8: Payroll in Tally

  • Salary structures, Attendance vouchers
  • Generating pay slips

Module 9: Reports and Analysis

  • Trial Balance, P&L, Balance Sheet
  • Day Book, Ledger, Inventory Reports
  • Ratio Analysis, Cash/Bank Book

Module 10: Data Management and Security

  • Backup, Restore, Export, Import
  • Password protection and user control

Final Project / Practical Assessment

  • Full company setup and transaction entries
  • GST, P&L, and Inventory report generation
Duration: 30 Days

Module 1: Introduction to Computers

  • Definition, Types, Parts (Hardware vs Software)
  • Input, Output & Storage Devices
  • Operating Systems Intro (Windows, macOS, Linux)

Module 2: Operating Systems & File Management

  • Basics of Using Windows/macOS
  • File Explorer: Create, Rename, Copy, Move, Delete
  • Desktop, Taskbar, Settings, Cloud Storage (Google Drive)

Module 3: Word Processing & Typing Skills

  • MS Word / Google Docs Interface
  • Creating and Formatting Documents
  • Typing Practice and Speed Development

Module 4: MS Excel for Beginners

  • Excel / Sheets Basics (Rows, Columns, Tables)
  • Basic Formulas (SUM, AVERAGE), Charts
  • Practical: Budgeting, Attendance

Module 5: MS PowerPoint

  • PowerPoint / Slides Basics
  • Creating slides with Text, Images, Animations
  • Presentation Design Best Practices

Module 6: Internet & Web Basics

  • Intro to Web browsers, Search Engines (Google)
  • Safe and Efficient Browsing, understanding URLs
Duration: 30 Days (1–1.5 hr daily)

Week 1 – Computer Basics + MS Word

  • Day 1: Fundamentals (Hardware vs Software, Files)
  • Day 2: Word Interface, Ribbon, Creating docs
  • Day 3: Text Formatting (Fonts, Styles, Colors)
  • Day 4: Paragraph Formatting (Alignment, Bullets)
  • Day 5: Insert Options (Images, Shapes, Tables)
  • Day 6: Page Setup (Margins, Header/Footer)
  • Day 7 Project: Create a Resume / Bio-Data

Week 2 – Advanced MS Word + Excel Basics

  • Day 8: Advanced Word (WordArt, SmartArt, Themes)
  • Day 9: Mail Merge (Bulk certificates/letters)
  • Day 10: Excel Interface (Workbook, Rows/Columns)
  • Day 11: Data Entry, Formatting, Basic calculations
  • Day 12: Formulas (SUM, AVERAGE, MIN/MAX)
  • Day 13: Charts (Bar, Pie, Column)
  • Day 14 Project: Student Marksheet in Excel

Week 3 – Advanced Excel

  • Day 15: Logical Functions (IF, Nested IF)
  • Day 16: Data Tools (Filter, Sort, Validation)
  • Day 17: Conditional Formatting (Highlighting rules)
  • Day 18: Pivot Table Introduction (Data analysis)
  • Day 19: Excel Shortcuts & Productivity
  • Day 20: Dashboard Basics (Charts combination)
  • Day 21 Project: Sales Report Dashboard

Week 4 – MS PowerPoint

  • Day 22: PowerPoint Interface, Slides, Layouts
  • Day 23: Slide Design (Text, Images, Icons)
  • Day 24: SmartArt & Charts (Diagrams, Infographics)
  • Day 25: Animations (Object, Motion effects)
  • Day 26: Transitions & Slide show settings
  • Day 27: Professional Presentation Skills
  • Day 28 Project: Business Presentation (Marketing/AI)
  • Day 29: Final Project Development
  • Day 30: Final Presentation + Certification
Duration: 30 Days

Module 1: AI & Agent Basics (Foundation)

  • Day 1: Intro to AI (Daily life examples)
  • Day 2: What is an AI Agent? (AI vs AI Agent)
  • Day 3: Types of AI Agents (Reflex, Goal, Utility)
  • Day 4: How Agents Work (Input -> Process -> Output)
  • Day 5: AI Tools Overview (GPT, Gemini, No-code)
  • Day 6: Prompt Basics (Smart prompt engineering)
  • Day 7 Activity: Writing smart prompts

Module 2: Prompting & Task Automation

  • Day 8-9: Advanced Prompt Engineering (Role, Logical thinking)
  • Day 10: AI for Content (Emails, Resume, Social media)
  • Day 11: AI for Study (Notes, Q&A, Exam prep)
  • Day 12: AI for Business (Invoices, Marketing drafts)
  • Day 13: AI Agent Tools (AutoGPT, AgentGPT)
  • Day 14 Project: AI Personal Assistant (text-based)

Module 3: Building Simple AI Agents

  • Day 15: AI Agent Workflow (Plan -> Execute)
  • Day 16: Tool-Based AI Agent (Multi-step automation)
  • Day 17: Support Agent (Auto-reply logic, FAQs)
  • Day 18: Content Agent (Blog/Caption generator)
  • Day 19: Study Agent (Quiz/Explanation creator)
  • Day 20: Memory Concept (Context saving)
  • Day 21 Project: AI Customer Support Agent

Module 4: Advanced Basics & Final Project

  • Day 22: Ethics & Safety (Bias, Privacy)
  • Day 23: Limitations (When AI fails, Human+AI)
  • Day 24: AI for Marketing (Lead message generator)
  • Day 25: Office Work (Report drafting, Data explanation)
  • Day 26: Debugging AI Outputs (Improving responses)
  • Day 27-28: Final Project: AI Agent (Student Choice)
  • Day 29: Testing & Improvement
  • Day 30: 🎓 Project Demo & Certification

Why Choose Master Tech Academy Plus

A focused training environment designed to help you actually learn, practice, and grow.

🧑‍💻

Practical Training

Hands-on sessions, lab practice, and real tools instead of only theory.

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Real Projects

Work on mini-projects and assignments you can showcase in interviews.

👨‍🏫

Expert Trainers

Guidance from experienced trainers who focus on clarity and fundamentals.

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Certification

Get a certificate that validates your learning and skills after course completion.

Watch Our Training Videos

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Visit Our Institute

We are located in the heart of Hyderabad for easy access.

Master Tech Academy Plus

14-9-564, Chudi Bazar Rd,
Begum Bazar, Hyderabad, Telangana 500012

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Location 14-9-564, Chudi Bazar Rd, Begum Bazar, Hyderabad, Telangana 500012

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