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NextGen Campus logo NEXTGEN CAMPUSTowards the Next Generation of IT
AI-generated AI-Driven Foundation in Information Technology (FITAI) campaign scene

AI-Driven Foundation in Information Technology (FITAI)

Duration
4 months
Delivery
On campus
Total learning
496 hours

Career Outcomes

Career Opportunities & Progression

  • IT Support Assistant
  • Computer Lab Assistant
  • Digital Office Assistant
  • Data Entry Operator
  • Junior Help Desk Trainee
  • Digital Content Assistant

Before you apply

Your programme at a glance

Apply / enquire
Qualification
Certificate (foundation, non-NVQ)
Awarding institution
NextGen Campus · Academic Transcript
Duration
Four months (16 weeks)
Delivery
Fully physical – full-day Tuesday and Thursday classes at the NextGen Campus Head Office, Nugegoda, with NextGen LMS laboratories and a Student Project Book
Class schedule
Tuesday and Thursday, 9.00 AM – 6.00 PM (full days, 1-hour lunch) — fully physical
Lecture / guided learning
256 hours – instructor-led
LMS laboratory hours
160 hours – Office, networking, cybersecurity, Python, web, SQL and AI practice labs via the NextGen LMS
Student Project Book
80 hours – including the Management Module
Modules
13 taught modules
Entry requirements
G.C.E. O/L completed or equivalent. No previous IT qualification is required.
Next intake
Confirm available batches with admissions

Class schedules follow the syllabus; confirm the batch timetable with admissions.

Complete Programme Map

Course Content Architecture

13 modules across 6 learning phases. Select a module to read its full curriculum.

13Taught modules
6Learning phases
137Syllabus topics
10Career directions
Four months (16 weeks)Programme duration
NextGen CampusAwarding institution
01 · Programme foundations
02 · Learning domains
03 · Hands-on practice
Computer hardware identificationComputer hardware identificationMicrosoft Office exercises (Word, Excel, PowerPoint)Internet and email security activitiesBasic network configurationCybersecurity awareness activitiesPython coding exercisesHTML/CSS web page creation

Guided laboratories, practical activities and a Student Project Book build evidence of your learning.

04 · Project, portfolio & progression
Professional portfolioDocumented laboratories, project evidence and the Management Module
Career directionsIT Support Assistant · Computer Lab Assistant · Digital Office Assistant · Data Entry Operator · Junior Help Desk Trainee
Further opportunitiesDigital Content Assistant · Web Development Trainee · Python Programming Trainee · Networking Technician Trainee · AI and Data Trainee
DeliveryFully physical – full-day Tuesday and Thursday classes at the NextGen Campus Head Office, Nugegoda, with NextGen LMS laboratories and a Student Project Book
AssessmentContinuous assessment, practical work, final project and Student Project Book
CompletionNextGen Campus qualification and Academic Transcript on successful completion

13 modules · Full syllabus

Complete Curriculum

Explore every phase of the programme, then expand the modules below for the complete syllabus, outcomes and practical work.

Phase 1 — Digital & Computing Foundations

  1. Digital Literacy and Computer Fundamentals
  2. Computer Hardware and Operating Systems

Phase 2 — Workplace & Cloud Skills

  1. Microsoft Office and Digital Productivity
  2. Internet, Email and Cloud Fundamentals

Phase 3 — Networking & Cybersecurity

  1. Networking Fundamentals
  2. Introduction to Cybersecurity and Online Safety

Phase 4 — Programming, Web & Data

  1. Programming Logic and Python Fundamentals
  2. Introduction to Databases and Web Technologies

Phase 5 — Artificial Intelligence

  1. Artificial Intelligence Fundamentals
  2. Generative AI and Prompt Engineering

Phase 6 — Academic Preparation & Project

  1. Mathematics and Logical Thinking for IT
  2. English, Communication and Academic Skills
  3. Foundation IT Project

Phase 1 — Digital & Computing Foundations

FIT-101Digital Literacy and Computer Fundamentals16 lecture h · 10 lab h

Builds digital literacy and an understanding of how computer systems, data and the internet work, together with safe and responsible technology use.

Syllabus Content

  • Computer systems and digital devices
  • Hardware and software concepts
  • Data and information
  • Files and folders
  • Storage technologies
  • Digital communication
  • Internet fundamentals
  • Safe and responsible technology use

Learning Outcomes

  • Explain computer systems, digital devices, hardware and software
  • Manage data, files, folders and storage
  • Use digital communication and the internet safely and responsibly

LMS Laboratories

  • Computer hardware identification
  • Files, folders and storage exercises

Syllabus alignment: IC3 Digital Literacy (aligned)

FIT-102Computer Hardware and Operating Systems16 lecture h · 10 lab h

Develops practical knowledge of computer components, hardware troubleshooting and the Windows operating system, including user accounts, software installation and virtual machines.

Syllabus Content

  • CPU, RAM and storage
  • Motherboards and computer components
  • Input and output devices
  • Hardware troubleshooting
  • Windows operating systems
  • User accounts and permissions
  • Software installation
  • File management
  • Introduction to virtual machines

Learning Outcomes

  • Identify CPU, RAM, storage, motherboards and other components
  • Troubleshoot common hardware problems
  • Configure Windows, user accounts, permissions and software
  • Create and use a virtual machine

LMS Laboratories

  • Computer hardware identification
  • Windows configuration and a first virtual machine

Syllabus alignment: CompTIA A+ foundations (awareness)

Phase 2 — Workplace & Cloud Skills

FIT-103Microsoft Office and Digital Productivity32 lecture h · 20 lab h

Develops professional productivity skills in Microsoft Word, Excel and PowerPoint, together with cloud file sharing and digital collaboration.

Syllabus Content

  • Microsoft Word
  • Professional document creation
  • Microsoft Excel
  • Formulas and functions
  • Tables and charts
  • Microsoft PowerPoint
  • Presentation design
  • Cloud file sharing
  • Digital collaboration
  • Professional productivity workflows

Learning Outcomes

  • Create professional documents in Microsoft Word
  • Use formulas, functions, tables and charts in Microsoft Excel
  • Design and deliver presentations in Microsoft PowerPoint
  • Share files and collaborate in the cloud

LMS Laboratories

  • Microsoft Office exercises (Word, Excel, PowerPoint)
  • Cloud file sharing and collaboration tasks

Syllabus alignment: Microsoft Office Specialist (aligned)

FIT-104Internet, Email and Cloud Fundamentals16 lecture h · 10 lab h

Builds professional use of the internet, email, cloud storage and online collaboration tools, with awareness of Microsoft 365 and Google Workspace.

Syllabus Content

  • Internet architecture
  • Web browsers
  • Search techniques
  • Professional email
  • Email security
  • Cloud storage
  • Cloud collaboration
  • Microsoft 365 awareness
  • Google Workspace awareness
  • Online communication tools

Learning Outcomes

  • Explain internet architecture and use browsers and search effectively
  • Use professional email securely
  • Use cloud storage and collaboration tools
  • Describe Microsoft 365 and Google Workspace

LMS Laboratories

  • Internet and email security activities
  • Cloud storage and collaboration tasks

Syllabus alignment: Microsoft 365 / Google Workspace (awareness)

Phase 3 — Networking & Cybersecurity

FIT-105Networking Fundamentals16 lecture h · 10 lab h

Introduces how networks connect devices — LAN and WAN, routers, switches and wireless, IP addressing, DNS and DHCP — and how to set up and troubleshoot a home or small-office network.

Syllabus Content

  • LAN and WAN
  • Network devices
  • Routers and switches
  • Wireless networks
  • IP addressing fundamentals
  • Internet connectivity
  • DNS and DHCP awareness
  • Network troubleshooting
  • Home and small-office networks
  • Basic network security

Learning Outcomes

  • Explain LAN, WAN and network devices
  • Apply IP addressing fundamentals
  • Describe DNS, DHCP and internet connectivity
  • Set up and troubleshoot a home or small-office network

LMS Laboratories

  • Basic network configuration
  • Home and small-office network set-up

Syllabus alignment: Cisco Networking Essentials (aligned)

FIT-106Introduction to Cybersecurity and Online Safety16 lecture h · 10 lab h

Builds essential cybersecurity awareness — recognising malware, phishing and social engineering, and protecting accounts, devices, privacy and data.

Syllabus Content

  • Cybersecurity fundamentals
  • Malware
  • Viruses and ransomware
  • Phishing
  • Social engineering
  • Password security
  • Multi-factor authentication
  • Data privacy
  • Safe browsing
  • Social media security
  • Device protection
  • Backup fundamentals

Learning Outcomes

  • Recognise malware, ransomware, phishing and social engineering
  • Apply password security and multi-factor authentication
  • Protect data privacy, devices and social-media accounts
  • Apply safe browsing and backup practices

LMS Laboratories

  • Cybersecurity awareness activities
  • Account, device and backup protection tasks

Syllabus alignment: Cybersecurity awareness

Phase 4 — Programming, Web & Data

FIT-107Programming Logic and Python Fundamentals32 lecture h · 20 lab h

Teaches programming from the beginning — algorithms, flowcharts and programming logic — then basic Python programming, debugging and simple automation.

Syllabus Content

  • Programming concepts
  • Algorithms
  • Flowcharts
  • Variables
  • Data types
  • Operators
  • Conditional statements
  • Loops
  • Functions
  • Basic Python programming
  • Debugging
  • Simple automation tasks

Learning Outcomes

  • Explain programming concepts, algorithms and flowcharts
  • Use variables, data types, operators, conditions and loops
  • Write functions and basic Python programs
  • Debug programs and automate simple tasks

LMS Laboratories

  • Python coding exercises
  • A simple automation task

Syllabus alignment: Python Institute PCEP (aligned)

FIT-108Introduction to Databases and Web Technologies16 lecture h · 10 lab h

Introduces how websites and databases work — building web pages with HTML and CSS, and storing and querying data with tables, keys, relationships and SQL.

Syllabus Content

  • How websites work
  • HTML fundamentals
  • CSS fundamentals
  • Web page structure
  • Responsive design awareness
  • Database concepts
  • Tables and records
  • Primary keys
  • Relationships
  • SQL fundamentals
  • Basic data queries

Learning Outcomes

  • Explain how websites work and build a page with HTML and CSS
  • Describe responsive design
  • Explain database tables, records, keys and relationships
  • Write basic SQL queries

LMS Laboratories

  • HTML/CSS web page creation
  • Introductory SQL activities

Syllabus alignment: HTML, CSS and SQL foundations

Phase 5 — Artificial Intelligence

FIT-109Artificial Intelligence Fundamentals16 lecture h · 10 lab h

Explains what artificial intelligence is, how machine learning, computer vision and natural language processing work, and how AI is applied in business, education and cybersecurity.

Syllabus Content

  • What is Artificial Intelligence?
  • AI vs Machine Learning
  • Machine Learning concepts
  • Generative AI
  • Computer vision
  • Natural language processing
  • AI applications
  • AI in business
  • AI in education
  • AI in cybersecurity
  • Benefits and limitations of AI

Learning Outcomes

  • Explain AI, machine learning and generative AI
  • Describe computer vision and natural language processing
  • Identify AI applications in business, education and cybersecurity
  • Explain the benefits and limitations of AI

LMS Laboratories

  • AI application exploration activities
  • AI use-case discussion tasks

Syllabus alignment: AI-901 Azure AI Fundamentals (awareness)

FIT-110Generative AI and Prompt Engineering16 lecture h · 10 lab h

Develops practical skill with generative AI and large language models — structured prompting, AI-assisted writing, research and coding, and verifying AI output responsibly.

Syllabus Content

  • Generative AI concepts
  • Large Language Models
  • AI assistants
  • Prompt fundamentals
  • Role, context and instructions
  • Structured prompting
  • Prompt refinement
  • AI-assisted writing
  • AI-assisted research
  • AI-assisted coding
  • Image generation awareness
  • Verification of AI-generated content
  • AI hallucinations
  • Responsible AI use

Learning Outcomes

  • Explain generative AI and large language models
  • Apply role, context and structured prompting
  • Use AI for writing, research and coding
  • Verify AI-generated content and use AI responsibly

LMS Laboratories

  • AI prompt-engineering exercises
  • Generative AI practical tasks

Syllabus alignment: Generative AI and prompt engineering

Phase 6 — Academic Preparation & Project

FIT-111Mathematics and Logical Thinking for IT16 lecture h · 10 lab h

Strengthens the mathematics, number systems, logical reasoning and problem-solving skills needed for IT study at diploma level.

Syllabus Content

  • Basic mathematics
  • Percentages
  • Ratios
  • Fractions
  • Algebra fundamentals
  • Number systems
  • Binary awareness
  • Logical reasoning
  • Problem solving
  • Data interpretation
  • IT-related mathematical applications

Learning Outcomes

  • Apply percentages, ratios, fractions and algebra fundamentals
  • Work with number systems and binary
  • Apply logical reasoning and problem solving
  • Interpret data in IT contexts

LMS Laboratories

  • Number-system and binary exercises
  • Logical-reasoning and data-interpretation tasks

Syllabus alignment: Academic preparation

FIT-112English, Communication and Academic Skills16 lecture h · 10 lab h

Develops English for IT, professional communication, report and academic writing, presentation, research and study skills for progression to diploma-level study.

Syllabus Content

  • English for IT
  • Technical vocabulary
  • Professional communication
  • Email writing
  • Report writing
  • Presentation skills
  • Academic writing
  • Research fundamentals
  • Referencing awareness
  • Team communication
  • Time management
  • Study skills

Learning Outcomes

  • Use English and technical vocabulary for IT
  • Write professional emails and reports
  • Deliver presentations and work in teams
  • Apply research, referencing, time-management and study skills

LMS Laboratories

  • Professional email and report writing
  • Presentation practice

Syllabus alignment: Academic preparation

FIT-113Foundation IT Project32 lecture h · 20 lab h

Students complete an integrated practical project combining multiple areas studied throughout the programme, then document and present it.

Syllabus Content

  • IT infrastructure fundamentals
  • Basic networking
  • Cybersecurity controls
  • Web or database components
  • AI-assisted functionality
  • Documentation
  • Presentation

Learning Outcomes

  • Plan an integrated IT project
  • Combine infrastructure, networking, cybersecurity, web or database and AI-assisted elements
  • Document and present the project

LMS Laboratories

  • Final integrated project
  • Project presentation

Syllabus alignment: Integrated project

Industry certification alignment is syllabus guidance. External examinations are separate; course completion does not award vendor certification.

Learning outcomes

Skills You Will Develop

  • Understand fundamental computer hardware and software concepts.
  • Use operating systems and common productivity applications effectively.
  • Use internet, email and cloud services professionally.
  • Explain basic networking concepts.
  • Apply essential cybersecurity and online safety practices.
  • Write simple Python programs.
  • Understand introductory web and database technologies.
  • Explain fundamental AI and machine-learning concepts.
  • Use generative AI tools responsibly.
  • Apply structured prompt-engineering techniques.
  • Demonstrate basic mathematical and logical reasoning for IT.
  • Communicate technical information effectively.
  • Complete and present a practical foundation-level IT project.

Career Outcomes

Career Opportunities & Progression

IT Support AssistantComputer Lab AssistantDigital Office AssistantData Entry OperatorJunior Help Desk TraineeDigital Content AssistantWeb Development TraineePython Programming TraineeNetworking Technician TraineeAI and Data Trainee

Career directions to explore as you progress. This foundation prepares you for further diploma or degree study; technical roles require additional training and experience.

Tools & Platforms

Technologies used

  • Microsoft Office
  • Python
  • Web and database fundamentals
  • Generative AI tools
  • NextGen LMS

Labs & practicals

How you will learn

  • Physical classes and hands-on practical learning at NextGen Campus
  • LMS module labs with trainer feedback
  • A Student Project Book documenting your learning
  • A final project, presentation and practical assessment

Admission requirements

Before you start

G.C.E. O/L completed or equivalent. No previous IT qualification is required.

Arrange access to a computer and internet for LMS activities between campus sessions.

NextGen Campus support

Student support

  • Academic guidance from your course coordinator
  • Trainer feedback on LMS laboratory work
  • Project planning and documentation support
  • LMS help for login and technical questions

Put your learning into practice

Projects & assessment

Complete and present the FIT-113 Foundation IT Project, supported by a Student Project Book recording your practical work.

Continuous assessment
40%
Practical / final project
40%
Student Project Book
20%

Complete the required practical work and project submissions. The handbook sets out attendance, pass requirements, grading and re-sit arrangements.

Student Project Book & Management Module

The Student Project Book is each learner's record of practical work, kept throughout the programme (about 5 hours a week, 80 hours in total). It records lab exercises, mini projects, assignments and individual activities from every module, and the planning and documentation of the FIT-113 Foundation IT Project. It also contains the Management Module.

  • MU1 Study Skills and Time Management Planning study time, managing deadlines and learning effectively
  • MU2 Digital Professionalism Professional email, online conduct and digital collaboration
  • MU3 Problem Solving and Teamwork Approaching problems logically and working in teams
  • MU4 Responsible Technology and AI Use Responsible AI, data privacy and the PDPA
  • MU5 Academic and Career Progression Progression to diploma and degree study; careers in IT

Payment Options

Choose how you pay

Total course feeLKR 45,000Course tuition
Published course fee

Course payment

LKR45,000

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Installment arrangements

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Discuss payment options
Registration feeLKR 3,000 (one-time)
  • Lecturer-led learning and guided practical work
  • LMS laboratories and Student Project Book
  • Programme project and assessment

Course tuition and the one-time registration fee are listed separately. Confirm payment dates and installment availability with admissions. External professional certification examination fees are separate unless NextGen Campus specifically states otherwise.

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