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MS Office with AI

Courses : Diploma in Computer Applications (DCA) – 2-3 Months Duration: 2 Months (8 Weeks)
Mode: Classroom / Practical Lab Sessions
Target: Beginners in Computer Education


Module 1: Introduction to Computers & Windows (Week 1)

Basics of Computer:
o Definition, characteristics, applications of computers
o Types of computers & peripherals (Monitor, CPU, Keyboard, Mouse, Printers, Scanners, etc.)
o Input, Output, Storage devices
o Booting process and shutting down

Windows Operating System:
o Desktop, Start Menu, Taskbar, Icons, Shortcuts
o File Explorer: Folders, Files, Drives (C, D, E, USB, etc.)
o File Management: Create, Rename, Copy, Cut, Move, Delete, Restore
o Searching files and folders efficiently
o Windows Personalization: Wallpapers, Themes, Screen Savers, Display Settings, Taskbar settings
o Control Panel & Settings basics
o Installing & uninstalling software


Module 2: Basic Applications (Week 2)

Notepad:
o Typing practice, Editing text, Font settings, Saving files, Opening files
o Cut, Copy, Paste, Find & Replace, Word Wrap
o Exercises

Wordpad:
o Formatting text (Font size, color, style)
o Paragraph alignment, Bullets, Numbering
o Inserting images, objects
o Page setup & Printing
o Exercises

Paint:
o Drawing tools (Brushes, Shapes, Colors)
o Text tool, Eraser, Fill tool
o Creating posters, Simple designs
o Saving images in different formats (.bmp, .jpg, .png)
o Exercises


Module 3: Microsoft Word (Week 3 & 4)

• Creating, Saving, Opening documents
• Editing & Formatting text, Paragraphs, Styles, Drop Cap
• Page Layout: Margins, Orientation, Page Breaks, Columns
• Inserting: Tables, Pictures, ClipArt, WordArt, Shapes, Headers/Footers, Page Numbers
• Find, Replace, Spelling & Grammar check
• Mail Merge (Letters, Labels)
• Working with Templates
• Printing documents


Module 4: Microsoft Excel (Week 5 & 6)

• Introduction to Spreadsheets: Rows, Columns, Cells
• Data entry, Formatting, Autofill
• Basic Formulas: SUM, AVERAGE, MAX, MIN, COUNT
• Relative vs Absolute Cell References
• Functions: IF, Nested IF, Date & Time, Text functions
• Sorting & Filtering data
• Charts: Bar, Line, Pie, Column, etc
• Page setup, Printing worksheets

Module 5: Microsoft PowerPoint (Week 7)

• Creating Presentations
• Slide layouts, Themes, Backgrounds
• Inserting Text, Images, Shapes, SmartArt, WordArt, Tables
• Animations & Transitions
• Slide Master, Notes & Handouts
• Running a Slide Show


Module 6: Email & Internet (Week 8)

Outlook Express / MS Outlook:
o Creating an email account
o Composing, Sending, Receiving emails
o Attaching files, Using CC/BCC

Internet Basics:
o Using Browsers (Edge/Chrome)
o Searching information on Google


AI in Basic Computer Applications – Course Syllabus

1. Introduction to AI in Office Tools (1 hour)
• What is AI?
• How AI is transforming daily computer applications.
• Benefits: Productivity, automation, accuracy, creativity.
• Real-life examples (Chatbots, Smart Replies, Copilot, Google AI tools).

2. Windows & File Management with AI (1 hour)
• AI-powered search in Windows (Cortana, Windows Search with Copilot).
• Voice commands for opening files & applications.
• AI suggestions for file organization.

3. MS Word + AI (2–3 hours)
• Editor & Grammar Check: AI-powered spelling, grammar, and style suggestions.
• Smart Compose: Predictive text & auto-completion.
• Copilot (MS 365): Drafting letters, resumes, and reports with AI assistance.
• Translation ¯ Dictation: Real-time language translation & voice-to-text.
• Research Tool: Using AI for content ideas & citations.
Activity: Students draft a professional letter using MS Word’s AI Editor and Copilot.

4. MS Excel + AI (3–4 hours)
• Ideas in Excel: AI-driven analysis of data trends and insights.
• Data Cleaning with Power Query + AI suggestions.
• Predictive Analysis: Using AI for forecasting sales, expenses, or growth.
• Copilot in Excel: Automatic formula generation, pivot table suggestions, quick insights.
• Charts & Dashboards: AI recommending best charts for data.
Activity: Students create a sales report and let Excel’s AI generate insights and charts.

5. MS PowerPoint + AI (2–3 hours)
• Designer Tool: AI-generated slide designs & layouts.
• Copilot for PowerPoint: Creating a presentation from a Word document or outline.
• AI in Images & Icons: Suggestions for visuals, SmartArt, and stock images.
• Rehearse with Coach: AI giving feedback on pace, tone, and word choice.
Activity: Students prepare a 5-slide presentation and improve it using AI Designer.

6. Outlook + AI (2 hours)
• Focused Inbox: AI filtering important emails.
• Suggested Replies: Quick one-click responses.
• Copilot in Outlook: Drafting professional emails automatically.
• Scheduling Meetings: AI suggesting best times for meetings.
• Email Summaries: AI-generated summaries of long email threads.

7. Gmail + AI (2 hours)
• Smart Compose & Smart Reply: Predictive text for faster emailing.
• Priority Inbox: AI filtering important emails.
• AI Security: Detecting spam, phishing & unsafe attachments.
• Google Workspace AI (Duet AI): Drafting documents, emails, and summaries.
• Meeting Integration: Using AI with Google Meet & Calendar.
Activity: Students practice sending emails with Smart Compose & identify spam using AI filters.

8. Capstone Project (2–3 hours)
Students complete a Mini Project where they:
• Draft a document in MS Word with AI help.
• Analyze data in Excel using AI insights.
• Prepare a PowerPoint presentation with Designer.
• Send a professional email in Outlook/Gmail using Smart Compose.


BASIC EXCEL

1. Introduction to MS Excel
• What is MS Excel?
• Uses of Excel (school, office, data management)
• Excel versions overview
• Opening, saving, and closing workbooks
• Understanding rows, columns, cells, and worksheets

2. Excel Interface
• Ribbon and tabs (Home, Insert, Page Layout, etc.)
• Quick Access Toolbar
• Workbook vs Worksheet
• Status bar and zoom options

3. Data Entry & Editing
• Entering text, numbers, and dates
• Editing cell content
• Copy, cut, paste
• AutoFill and Flash Fill
• Insert and delete rows/columns

4. Formatting Cells
• Font style, size, and color
• Cell alignment (horizontal & vertical)
• Borders and shading
• Number formatting (currency, percentage, date)
• Wrap text and merge cells

5. Basic Formulas & Functions
• Formula basics (=)
• Arithmetic operators (+, −, ×, ÷)
• Common functions:
o SUM
o AVERAGE
o MIN
o MAX
o COUNT
• Relative and absolute cell references

6. Working with Worksheets
• Adding, renaming, moving sheets
• Copying and deleting sheets
• Protecting sheets and workbooks

7. Basic Charts & Graphs
• Types of charts (Column, Bar, Pie, Line)
• Creating charts
• Editing chart elements (title, labels, legend)

8. Page Setup & Printing
• Page orientation and margins
• Print area
• Header and footer
• Print preview


ADVANCED EXCEL

1. Advanced Formulas & Functions
• Logical functions:
o IF, IFS
o AND, OR, NOT
• Lookup functions:
o VLOOKUP
o HLOOKUP
o XLOOKUP
• Text functions:
o LEFT, RIGHT, MID
o LEN, TRIM, UPPER, LOWER
• Date & time functions:
o TODAY, NOW, DATEDIF

2. Data Sorting & Filtering
• Multi-level sorting
• Custom sort
• AutoFilter
• Advanced Filter

3. Conditional Formatting
• Highlight cell rules
• Data bars
• Color scales
• Icon sets
• Formula-based formatting

4. Data Validation
• Dropdown lists
• Input restrictions
• Error alerts
• Creating dependent dropdowns

5. Pivot Tables & Pivot Charts
• Creating pivot tables
• Summarizing large data
• Grouping data
• Pivot charts
• Slicers and timelines

6. Working with Large Data
• Tables and structured references
• Removing duplicates
• Text to Columns
• Freeze panes
• Data cleaning techniques

7. What-If Analysis
• Goal Seek
• Scenario Manager
• Data Tables

8. Advanced Charts & Dashboards
• Combo charts
• Dynamic charts
• Dashboard design basics
• Using slicers with dashboards

9. Macros & Automation (Optional / Advanced Level)
• Introduction to Macros
• Recording macros
• Basic VBA concepts (very basic level)
• Enabling and disabling macros safely

10. Excel Security & Collaboration
• Workbook protection
• Sheet protection
• Password protection
• Sharing and collaboration basics


Comprehensive Excel Course Syllabus

Course Title: Advanced Microsoft Excel with Analytics and Automation

Duration: 60–80 hours.
Level: Beginner to Advanced.
Format: Practical, Case Study-based Learning.
Prerequisites: Basic Computer Knowledge.


Module 1: Data Structuring and Tables

Chapter 1: Excel Tables
• What is a Table
• Converting Data Ranges into Tables
• Structured References
• Table Styles and Formatting
• Table Sorting & Filtering
• Adding and Removing Columns/Rows in Tables
• Case Study: Student Database using Excel Tables

Chapter 2: Slicers
• Introduction to Slicers
• Adding Slicers to Tables and Pivot Tables
• Customizing Slicer Styles and Connections
• Real-Life Case Study: Department-wise Employee Analysis using Slicers


Module 2: Database Management and Data Analysis

Chapter 3: Database Functions
• Overview of Database Functions
• DGET, DSUM, DAVERAGE, DMAX, DMIN, DCOUNT
• Setting up Criteria Range and Field References
• Case Study: Student Performance Database using DGET and DSUM

Chapter 4: Conditional Formatting
• Highlighting Cells Based on Values
• Data Bars, Color Scales, Icon Sets
• Custom Conditional Formulas
• Case Study: Sales Performance Heat Map

Chapter 5: Flash Fill
• Understanding Flash Fill
• Text Extraction (First Name, Last Name, etc.)
• Pattern Recognition Examples
• Real Case: Formatting Employee IDs, Dates, and Names

Chapter 6: Speak Cells
• Enabling Speak Cells Command
• Reading Selected Text or Formulas
• Accessibility Applications
• Use Case: Reading Marks/Financial Figures aloud during verification

Chapter 7: Paste Special
• Paste Values, Formats, Formulas, Comments
• Operations (Add, Subtract, Multiply, Divide)
• Transpose Data
• Case Study: Budget Adjustment using Paste Special

Chapter 8: Custom Lists
• Creating Custom Lists
• Sorting and Auto-Fill using Custom Lists
• Example: Custom Department Names Sorting


Module 3: Data Comparison and What-If Analysis

Chapter 9: Comparing Sheets
• Manual Comparison Techniques
• Using Formulas (IF, EXACT, Conditional Formatting)
• Third-party Tools / View Side by Side
• Case Study: Comparing Monthly Expense Reports

Chapter 10: Data Table
• One-variable and Two-variable Data Tables
• Scenario-based Simulation
• Case Study: Interest Rate vs. Loan Amount


Chapter 11: Goal Seek • Concept and Steps of Goal Seek
• Reverse Calculation Examples
• Case Study: Find Marks Needed to Reach Target Average

Chapter 12: Scenarios
• Creating and Managing Scenarios
• Scenario Summary Reports
• Case Study: Business Forecasting under Multiple Conditions

Chapter 13: Solver
• Introduction to Solver Add-in
• Objective, Constraints, and Decision Variables
• Linear vs Non-linear Problems
• Case Study: Production Optimization


Module 4: Advanced Data Validation and Dynamic Lists

Chapter 14: Dependent Drop Down Lists
• Creating Primary & Dependent Drop Downs
• Using INDIRECT Function
• Case Study: Product-Category Dependent Dropdowns
Chapter 15: Data Validation
• Custom Validation Rules
• Error Alerts and Input Messages
• Preventing Invalid Data Entry
• Case Study: Data Entry Form for HR Department


Module 5: Lookup and Reference Functions

Chapter 16: VLOOKUP
• Syntax, Exact and Approximate Match
• Common Errors (#N/A, #REF)
• Case Study: Retrieve Employee Details

Chapter 17: HLOOKUP
• Syntax and Usage
• Differences from VLOOKUP
• Case Study: Student Marks Lookup

Chapter 18: INDEX
• Using INDEX for Dynamic Data Retrieval
• Combining INDEX with MATCH
• Case Study: Flexible Data Extraction

Chapter 19: MATCH
• Understanding Position Lookup
• Combining with INDEX
• Case Study: Finding Item Position in Inventory

Chapter 20: INDIRECT
• Using INDIRECT to Create Dynamic References
• With Named Ranges and Dependent Lists
• Case Study: Dynamic Sheet Reference Lookup

Chapter 21: ADDRESS
• Creating Cell References Dynamically
• Combine with ROW(), COLUMN(), INDIRECT()
• Case Study: Generating Dynamic Report References


Module 6: Data Visualization

Chapter 22: Charts
• Column, Bar, Line, Pie, Combo, and 3D Charts
• Customizing Axes, Labels, Legends, Data Series
• Case Study: Monthly Sales Dashboard
Chapter 23: Sparklines
• Types: Line, Column, Win/Loss
• Inserting and Customizing Sparklines
• Case Study: Mini Performance Dashboard


Module 7: Business Intelligence Tools

Chapter 24: Pivot Table
• Creating and Customizing Pivot Tables
• Grouping, Sorting, Calculations
• Case Study: Regional Sales Summary

Chapter 25: Pivot Chart
• Creating Pivot Charts
• Dynamic Filtering with Slicers
• Case Study: Visual Sales Trend

Chapter 26: Power Pivot
• Enabling Power Pivot
• Creating Relationships & Data Models
• Measures and DAX Basics
• Case Study: Multi-Table Sales Analysis

Chapter 27: Power Query
• Loading and Transforming Data
• Merging, Appending, Cleaning, and Shaping Data
• Case Study: Automating Monthly Data Imports

Chapter 28: Dashboard Creation
• Dashboard Layout Design
• Interactive Controls (Slicers, Timelines)
• Linking Charts and Tables
• Case Study: Company KPI Dashboard

Chapter 29: Maps
• Creating Geographic Maps
• Data Points and Heat Maps
• Case Study: Sales by Region Visualization
Chapter 30: Timeline
• Inserting and Linking Timelines
• Filtering Pivot Tables by Dates
• Case Study: Monthly Expense Dashboard


Module 8: Formula Auditing and Linking

Chapter 31: Link
• Linking Data Across Sheets and Workbooks
• Managing External References
• Case Study: Consolidated Financial Reports

Chapter 32: Formula Auditing
• Trace Precedents and Dependents
• Error Checking
• Case Study: Debugging a Budget Sheet

Chapter 33: Watch Window
• Monitoring Key Cells While Working Elsewhere
• Use Case: Tracking Live KPIs in Large Models


Module 9: Forecasting, Grouping, and Protection

Chapter 34: Forecast Sheet
• Creating Forecast Sheets
• Understanding Trend Lines and Confidence Intervals
• Case Study: Sales Forecasting for 2025

Chapter 35: Group/Ungroup
• Grouping Rows and Columns
• Outline View and Subtotals
• Case Study: Monthly Expense Grouping

Chapter 36: Protecting Worksheet
• Worksheet and Workbook Protection
• Password Protection, Cell Locking
• Case Study: Secure Data Entry Template

Chapter 37: Sharing Workbook
• Enabling Shared Workbook Feature
• Co-Authoring in Excel 365
• Case Study: Shared HR Attendance Tracker

Chapter 38: Tracking Changes
• Track, Accept, and Reject Changes
• Reviewing Version History
• Case Study: Shared Budget Review File

Chapter 39: Spelling
• Spell Check Options
• AutoCorrect and Custom Dictionary
• Use Case: Document Proofreading in Excel
Chapter 40: Custom Views
• Introduction to Custom Views
• When to Use Custom Views
• Creating a Custom View
• Applying a Custom View
• Modifying or Deleting a Custom View
• Limitations of Custom Views


Module 10: Automation and Programming

Chapter 41: Macros
• Recording and Running Macros
• Assigning to Buttons and Shortcuts
• Case Study: Automate Report Generation

Chapter 42: VBA (Visual Basic for Applications)
• Introduction to VBA Editor
• Variables, Loops, and Conditions
• Writing Custom Functions (UDFs)
• Interacting with Worksheets and Ranges
• Mini Project: Expense Tracker Automation


Course Outcomes

By the end of this course, learners will be able to
• Manage and analyze large datasets efficiently
• Automate routine Excel tasks
• Create interactive dashboards
• Build and use BI-level tools (Power Pivot, Power Query)
• Apply advanced formulas for forecasting and reporting
• Secure, audit, and collaborate on complex Excel workbooks


CTTI Bonus Course — AI Tools for Everyday Work

Outcome: Students can write professional emails/letters, quickly summarize complex content (webpages & videos), edit images for presentations, and create short AI-assisted videos — all while following legal and ethical best practices.

Module 1 — Professional Writing with AI (Crafting Emails & Letters)

• Learn templates & tone: formal emails, follow-ups, interview thank-you notes, client communication.
• Practical: create 5 common email templates + one personalized cover letter.
• Assignment: submit one job application email + resume; AI will suggest improvements.


Module 2 — Smart Summaries: Videos, Articles & Websites

• How to extract key points from long articles, course videos, and web pages using AI.
• Practical: summarise a 15-minute tutorial video and a 1,500-word article into a one-page brief.
• Tools & prompts: teach students how to craft prompts for accurate summaries and fact-checking.


Module 3 — Image Editing with AI (Backgrounds, Cropping, Annotating, PPT Creation)

• Remove & replace backgrounds (for personal photos, lab images, product shots).
• Crop, circle/highlight parts of images, add captions & annotations for presentations.
• Creating PPTs with AI.


Module 4 — Create Short Videos with AI (From Script to Shareable Clip)

• Write short video scripts from course content (30–90 seconds).
• Use AI tools to generate voiceovers, synthesize slides, animate images, and compile clips.
• Export formats for YouTube, LinkedIn, and WhatsApp status.
• Practical: produce one 60-second course promo/summary video combining text, images, and voice.


Assessment & Certification

• Award a AI Skills Certificate on successful completion.


 
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