Programme

Generative AI for Business

Duration 3 Months
Contact hours 240 hours
Mode On campus in Faisalabad, or live online from anywhere in Pakistan
Level Beginner
Modules 6
Topics 24 (16 practical)
Fee PKR 60,000

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Prerequisites

What the programme includes

Syllabus

1. What it can and cannot do for a business

30 hours

Separating the useful from the sold.

2. Getting reliable output

40 hours

The practical skill, without the mythology.

3. Writing, selling and serving

50 hours

Applying it to the work a business already does.

4. Documents and data

40 hours

The highest-value use in most Pakistani firms.

5. Images, audio and video

40 hours

Creative production for a small marketing budget.

6. Rolling it out without an incident

40 hours

The governance a business needs before staff start pasting.

Projects

An AI rollout for one real business · 4 weeks

Pick a business you can talk to. Deliver: the opportunity audit, two working AI-assisted processes with reusable briefs, a one-page staff policy, and an honest cost estimate.

Assessment

A final assessment marked out of 100; the pass mark is 50, with 90 minutes to complete it.

Credential

Students who pass the final assessment and have project work verified by their trainer receive a completion letter. It states attendance, the assessment result and the projects verified, and carries a code any employer can check at the verification page.

Against the national standard

Pakistan's National Vocational & Technical Training Commission publishes a course-contents document for the trades it funds. This programme is mapped to AI, Machine Learning & Deep Learning — 12 weeks, 4 hours a day, 240 contact hours.

Published by NAVTTC and reproduced here so you can check our syllabus against it. We teach it to those hours: 240 contact hours over 12 weeks, the same as the standard. Read the NAVTTC document.

11 modules in the national standard
  • Introduction Linux Shell Scripting Fundamentals Python Fundamentals — week 1, 20 hours
    Introduction to AI Motivational Lecture · Course Introduction Job market Course Applications Work ethics Survey of career opportunities Survey of industry requirements for each career path · Software Installation (Anaconda, VSCode, PyCharm, etc.) · Introduction to Debian Basic Commands: pwd, cd, ls, cat, sudo, man, redirection, mkdir, rm, rmdir, cp, mv · file, reading, cat, more, less, head, alias...
  • Overview — week 2, 20 hours
    Python Fundamentals Implementation of OOP Principals in Python Descriptive Statistics and Probability · Functions Functions and variable scope Lambda expression Map and Filter Inner/Nested functions · File Handling Exception Handling · Classes and Objects Instance Variables and Methods Class Variables and Functions Constructors and Destructors · Inheritance Multilevel Inheritance Hierarchical Inhe...
  • Descriptive Statistics and Probability Overview Python Support Libraries for Exploratory Data Analysis - NUMPY — week 3, 20 hours
    Correlation Coefficient · Univariate, bivariate and multivariate plots · Probability · Joint, Marginal and Conditional probability · Probability Distributions · Discrete and Continuous probability distributions Bayesian Probability · Introduction to Numpy · Creating Numpy Arrays (from Python list, from built-in methods, from random) Array Attributes and Methods (reshape, max, min, argmax, argmin,....
  • Python Support Libraries for Exploratory Data Analysis - Pandas - Seaborn — week 4, 20 hours
    Merging, Joining, and Concatenation (inner, outer, right and left joins) · GroupBy Discretization and Binning Operations on DataFrames Data output/saving Pandas for Plotting (area, bar, density, hist, line, scatter, barh,... · Introduction to Seaborn · Distribution Plots distplot jointplot (pairplot, rugplot, kdeplot) · Categorical Data Plots factorplot, boxplot, violinplot, stripplot, swarmplot,...
  • Machine Learning-I — week 5, 20 hours
    Multivariate Linear Regression · Polynomial Regression · Logistic Regression (Binary Classification) · Logistic Regression (Multiclass Classification) · Code practice
  • Natural Language Processing — week 6, 20 hours
    Introduction to Natural Language Processing · Syntax, Semantics, Pragmatics, and Discourse NLP curves and future directions · Data pre-processing for NLP Introduction to NLTK/SpaCy Noise removal (stopwords, punctuation, etc) · Word and sentence tokenization Word segmentation Stemming Text normalization Regular expression for string parsing · POS tagging NER tagging Chunking and Chinking Lemmatizat...
  • Deep Learning I — week 7, 20 hours
    Boosting · MLP Feed Forward Neural Network Forward and backward passes Nonlinearity: Activation functions Cross-Entropy Computational graph and... · Introduction and implementation of neural networks using appropriate deep learning API of choice (TensorFlow, PyTorch, Keras) · Convolutional Neural Network (CNN) 2D CNN for image classification · 1D CNN for text document classification · Code Practic...
  • Deep Learning II — weeks 8, 9, 40 hours
    Recurrent Neural Networks (RNNs) · Long-Short-Term-Memory Networks (LSTM) · LSTM Code Practice · Gated Recurrent Unit Networks · GRU Code Practice · Word Embeddings Word2vec Continuous BOW Continuous Skip-gram · Gensim and Custom Embedding Training · Sequence Models
  • Bi-Directional LSTM/RNN in Sequence Models — week 10, 20 hours
    Deep Learning II Employable Project / Assignment (2 weeks, 11-12) in addition of regular classes. OR On job training (2 weeks) · Attention Mechanism in Models · Selection of Project, architecture discussion, preparation. Guidelines to the Trainees for selection of employable project like final year project... · https://technofizi.net/best-computer- science- and-engineering-cse-project- topics-idea...
  • MS Azure AI Service — week 11, 20 hours
    Selection of Microsoft Azure AI Service Selection the appropriate service for a vision solution Selection the appropriate service for a language... · Selection the appropriate service for a decision support solution · Selection the appropriate service in Cognitive Services for a speech solution Selection the appropriate Applied AI services · Configuring Security for Microsoft Azure AI Service Mana...
  • Process videos — week 12, 20 hours
    Microsoft Azure Natural Language Processing (NLP) Solutions Implementation Analyze text Process speech Translate language · Build and manage a language understanding model Create a question answering solution · Build and manage a language understanding model · Microsoft Azure Knowledge Mining Solutions Implementation · Microsoft Azure Conversational AI Solutions Implementation · Task Title · Descr...

Career paths

Roles this prepares you for

Ai tools: Entry-level figures we read in Lahore were Rs 50,000 to Rs 80,000 a month (read 30 September 2026).

These are the roles the programme is aimed at. BvLogic Academy does not guarantee employment, an income, or a timeframe — and you should be careful with any institute that does.

Career guide: fields, roles and where each course leads → · Salaries in Pakistan, with sources →

Where it leads

Start free before you enrol

  1. AI Ethics, Disclosure and Safety · free course with certificate
  2. AI for Everyday Work · free course with certificate
  3. AI for Teachers · free course with certificate

Other courses

  1. Full Stack Development · 3 Months
  2. AI & Generative AI · 3 Months
  3. Digital Marketing + AI · 3 Months
  4. Python Development · 3 Months

AI courses in Pakistan → · See all courses →

Study from your city: Faisalabad · Lahore · Karachi · Islamabad · Rawalpindi

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