Punjab Artificial Intelligence and Cybersecurity Initiative (PACI)

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Admissions OpenedPakistan's Biggest AI & Security InitiativeIndustry-led Curriculum with Practical LabsLimited Seats for Current IntakeApply Online and Start Your RegistrationAdmissions OpenedPakistan's Biggest AI & Security InitiativeIndustry-led Curriculum with Practical LabsLimited Seats for Current IntakeApply Online and Start Your Registration

Artificial Intelligence

An 18-month specialization that develops learners from programming and data foundations into machine learning, deep learning, computer vision, and modern AI systems engineering.

Track Code

AI-01

Duration

18 Months

Delivery

Online + Guided Labs

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Learning Path

Phase-by-Phase Curriculum

Start from foundational concepts, progress through specialized modules, and complete with real-world project implementation.

  1. 01
    Months 1-3Programming Foundation

    What This Phase Covers

    Use this phase to build the beginner base in Python syntax, problem solving, functions, OOP, data structures, file handling, and debugging fundamentals.

    Delivery

    Guided study & labs

    Outcome

    Ready for next stage

    Phase Focus

    Control flow, functions, OOP, and core data structuresDebugging, file handling, and reusable code organization

    Modules In This Phase

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    Python Programming Fundamentals

    A foundation module focused on programming fluency, logic building, and problem decomposition through structured Python practice.

  2. 02
    Months 4-5Data Preparation and Numerical Computing

    What This Phase Covers

    This phase should build scientific Python capability across arrays, vectorization, data cleaning, tabular analysis, statistics basics, visualization, and time-series preparation.

    Delivery

    Guided study & labs

    Outcome

    Ready for next stage

    Phase Focus

    Vectorized computation and matrix-oriented reasoningData cleaning, transformation, exploratory analysis, and time-series basics

    Modules In This Phase

    Click for details

    Numerical Computing with Arrays

    A numerical computing module that prepares learners to work with structured arrays, efficient computation, and matrix-style reasoning.

    Data Preparation and Analysis

    A data preparation module built around cleaning, grouping, transforming, and analyzing structured datasets for practical use.

  3. 03
    Month 6Structured Data Systems

    What This Phase Covers

    This phase introduces SQL for analytics and AI work, covering query writing, filtering, aggregation, joins, and practical relational database thinking.

    Delivery

    Guided study & labs

    Outcome

    Ready for next stage

    Phase Focus

    Filtering, joins, aggregation, and reporting queriesPractical relational design and database workflow literacy

    Modules In This Phase

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    Structured Data Querying

    A structured data systems module focused on querying, aggregation, joins, and relational thinking for analytical workflows.

  4. 04
    Months 7-10Machine Learning Backbone

    What This Phase Covers

    This is the core machine learning phase, covering statistics, probability, exploratory analysis, feature engineering, supervised and unsupervised learning, evaluation, and practical model-building workflow.

    Delivery

    Guided study & labs

    Outcome

    Ready for next stage

    Phase Focus

    Feature engineering, validation strategy, and model comparisonSupervised and unsupervised learning with structured evaluation

    Modules In This Phase

    Click for details

    Machine Learning Foundations

    A machine learning backbone module that combines statistics, feature preparation, model development, and evaluation into one guided progression.

  5. 05
    Months 11-12Predictive Modeling Specialization

    What This Phase Covers

    This phase deepens applied machine learning through regression and classification, with emphasis on feature engineering, model comparison, and metrics such as precision, recall, F1, and ROC-AUC.

    Delivery

    Guided study & labs

    Outcome

    Ready for next stage

    Phase Focus

    Problem framing, model selection, and metric interpretationPrecision, recall, ROC-AUC, and comparative validation practice

    Modules In This Phase

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    Regression Modeling and Evaluation

    A predictive modeling module dedicated to regression workflows, model comparison, and metric-driven analysis for continuous-value problems.

    Classification Modeling and Evaluation

    A classification module focused on supervised decision models, feature preparation, and evaluation across applied binary and multi-class tasks.

  6. 06
    Months 13-14Applied AI Implementation

    What This Phase Covers

    This phase turns theory into implementation through real-world AI projects in forecasting, NLP, recommendation, and other applied problem settings.

    Delivery

    Guided study & labs

    Outcome

    Ready for next stage

    Phase Focus

    Project execution across NLP, forecasting, recommenders, and vision tasksDocumentation, experimentation, and result presentation

    Modules In This Phase

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    Applied AI Practicum

    An applied implementation module that turns prior theory into portfolio-grade AI projects across multiple real-world problem types.

  7. 07
    Months 15-16Deep Learning Systems

    What This Phase Covers

    This phase develops deep learning understanding across neural networks, optimization, CNNs, RNNs, transfer learning, PyTorch workflows, and transformer intuition.

    Delivery

    Guided study & labs

    Outcome

    Ready for next stage

    Phase Focus

    PyTorch workflow design, optimization, and transfer learningSequence, vision, and transformer-oriented model intuition

    Modules In This Phase

    Click for details

    Deep Learning Systems

    A deep learning systems module covering neural networks, optimization, sequence models, vision concepts, and modern model implementation practices.

  8. 08
    Month 17Computer Vision Deployment

    What This Phase Covers

    This phase specializes in computer vision with focus on object detection, segmentation, tracking, custom dataset training, annotation workflow, and deployment-style thinking.

    Delivery

    Guided study & labs

    Outcome

    Ready for next stage

    Phase Focus

    Dataset preparation, annotation, training, and evaluationReal-time detection, tracking, and deployment planning

    Modules In This Phase

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    Computer Vision Deployment

    A computer vision deployment module centered on object detection, segmentation, tracking, and custom dataset workflows.

  9. 09
    Month 18AI Systems Engineering

    What This Phase Covers

    This final phase covers modern AI systems engineering through large language models, retrieval-augmented generation, vector databases, agent workflows, and evaluation for practical AI applications.

    Delivery

    Guided study & labs

    Outcome

    Ready for next stage

    Phase Focus

    Retrieval pipelines, orchestration patterns, and structured outputsEvaluation-first thinking for multi-step AI applications

    Modules In This Phase

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    AI Systems Engineering

    A capstone AI systems module focused on large language models, retrieval-enabled applications, orchestration patterns, and agent-assisted workflows.