Introduction

Step into the future of technology with ISDI’s Artificial Intelligence (Machine Learning & Deep Learning) course in Lahore. Designed to provide employable skills through hands-on training, this course focuses on real-world applications of AI, including a specialization in Natural Language Processing (NLP) and Microsoft Azure AI tools. The curriculum emphasizes professional responsibility, practical problem-solving, and real-time model development, enabling participants to apply AI solutions across industries.

Our trainers use a participant-centered approach to promote not only technical proficiency but also soft skills such as self-reliance, critical thinking, and adaptability—ensuring graduates are job-ready and professionally competent in AI environments.

Course Overview

Our carefully designed course offers an immersive experience in AI and ML through practical labs, real-world data, and modern tools. Throughout the training, you will:

• Understand the core principles of AI and machine learning.
• Explore state-of-the-art ML techniques and real-world applications.
• Gain hands-on exposure to data preprocessing, model training, evaluation, and deployment.
• Work with tools like Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, and Keras.
• Specialize in NLP: build models for text extraction, POS tagging, named entity recognition, and more.
• Utilize Microsoft Azure AI services for text, image, and numerical data projects.

What You’ll Learn

This intensive training program will equip you with:

• Deep understanding of AI & ML fundamentals
• Hands-on experience with data analysis and modeling
• Skillset to design, evaluate, and deploy machine learning models
• Proficiency in Python-based libraries and frameworks: Scikit-learn, TensorFlow, PyTorch, Keras
• Expertise in NLP techniques, including text normalization, lemmatization, and deployment of NLP models
• Knowledge of using Microsoft Azure APIs for scalable AI applications

Why Choose ISDI?

• 80% practical, lab-based learning experience
• Trainers with real-world industry experience
• Industry-relevant tools and platforms like Azure and TensorFlow
• Exposure to real-world projects and use cases

Course Outline

• Python for AI & Data Science
• Supervised & Unsupervised Machine Learning
• Deep Learning & Neural Networks
• Exploratory Data Analysis
• Model Evaluation Techniques
• Natural Language Processing (NLP)
  • Text Preprocessing
  • POS Tagging
  • Named Entity Recognition
  • Word Embeddings & Transformers
  • NLP Deployment
• Microsoft Azure AI APIs
• Model Deployment & Real-Time Inference

Career Opportunities

Graduates of this course can pursue roles such as:

• AI Associate Engineer
• Machine Learning Associate Analyst
• Assistant Data Analyst
• Research Assistant
• Data Science Intern
• AI/ML Developer

Top Hiring Companies

• Careem
• Afiniti
• Addo.ai
• Arbisoft
• I2C
• Xavor
• FiveRivers Technologies
• Confiz
• Crossover
• NetSol
• Research Institutes
• AI Labs & Tech Startups

Duration

• Total Course Duration: 3 Months
• Class Time: 4 hours/day
• Structure: 20% Theory | 80% Practical