You will learn how to create apps and systems that can reason, make decisions, and learn from data in this artificial intelligence course.
Artificial Intelligence Course
The foundations of AI are covered in this artificial intelligence course, including machine learning, robotics, natural language processing, and computer vision. You will learn how to create software and systems that are intelligent and can reason, make judgments, and learn from data. You’ll be able to use AI to develop original answers to challenging challenges at the end of the course. This course will assist you in releasing the potential of AI for the future, regardless of your level of AI experience or want to improve your skills.
Course Schedule
Classes
Classes will be held four times a week.
2 time slots available
Morning & Evening
Holidays
Holiday classes provided for uninterrupted learning
Course Details
Course Duration
2 Month Course 1 Month Internship
Fees
PKR 50,000/-
Course Outlines
Introduction to Machine Learning:
1- Understanding the basics of machine learning
2- Overview of different machine learning algorithms
3- Applications of machine learning in various industries
Data Preprocessing:
1- Data cleaning and formatting
2- Handling missing values and outliers
3- Feature selection and extraction
Supervised Learning:
1- Linear regression
2- Logistic regression
3- Decision trees and random forests
4- Support vector machines (SVM)
5- Naive Bayes classifiers
Unsupervised Learning:
1- Clustering algorithms (K-means, DBSCAN)
2- Dimensionality reduction techniques (PCA, t-SNE)
3- Association rule learning (Apriori algorithm)
Deep Learning:
1- Neural networks and their architectures
2- Convolutional Neural Networks (CNN)
3- Recurrent Neural Networks (RNN)
4- Transfer learning and fine-tuning
Evaluation and Model Selection:
1- Performance metrics for classification and regression
2- Cross-validation techniques
3- Hyperparameter tuning
4- Model selection and ensemble learning
Natural Language Processing (NLP):
1- Text preprocessing and tokenization
2- Sentiment analysis
3- Named Entity Recognition (NER)
4- Text generation and language models
CMK Marketing Institute
Why Choose Our Course?
✅ Expert Instructors: Learn from industry professionals with extensive experience in digital marketing.
✅ Hands-on Practical Experience: Gain real-world skills through interactive projects and case studies.
✅ Updated Curriculum: Stay up-to-date with the latest trends, tools, and techniques in digital marketing.
✅ Flexible Class Schedule: Morning and evening time slots to suit your convenience.
✅ Weekend Classes: Additional classes available on weekends to ensure comprehensive learning.
✅ Career Opportunities: Enhance your job prospects with sought-after digital marketing skills.
Course Completion
Upon successful completion of the course, you will receive a certificate of achievement.