Professional Certification

AI, Machine Learning & Deep Learning Specialization

Master the fundamentals and advanced concepts of Artificial Intelligence, Machine Learning, and Deep Learning. Build intelligent systems using Python, TensorFlow, PyTorch, and industry-standard tools with real-world datasets.

4.9/5 (200+ reviews)

1,500+ students

16 weeks

Intermediate to Advanced

Enroll Now - $599 View Curriculum

14-day money-back guarantee

This Course Includes:

80+ hours of video content
50+ hands-on projects
Lifetime access to materials
Certificate of completion
1-on-1 mentor support
Career guidance included

What You'll Learn

Master machine learning algorithms: regression, classification, clustering

Build and train neural networks with TensorFlow and Keras

Implement deep learning architectures: CNNs, RNNs, LSTMs, Transformers

Work with PyTorch for research and production deployments

Apply computer vision techniques for image recognition

Implement NLP models for text analysis and generation

Deploy ML models to production with Flask/FastAPI

Optimize model performance and handle real-world data

Course Curriculum

16-week comprehensive program covering fundamentals to advanced topics

What is AI, ML, and Deep Learning?
Setting up Python environment for ML
NumPy and Pandas for data manipulation
Data visualization with Matplotlib/Seaborn
Project: Exploratory Data Analysis

Linear and Logistic Regression
Decision Trees and Random Forests
Support Vector Machines (SVM)
K-Nearest Neighbors (KNN)
Naive Bayes Classification
Ensemble Methods and Boosting
Model evaluation and cross-validation
Project: Predictive Model Building

K-Means and Hierarchical Clustering
DBSCAN and density-based clustering
Principal Component Analysis (PCA)
t-SNE for visualization
Anomaly detection techniques
Project: Customer Segmentation

Perceptrons and activation functions
Backpropagation and gradient descent
Building neural networks from scratch
Introduction to TensorFlow and Keras
Regularization techniques (Dropout, L1/L2)
Batch normalization and optimization
Project: Image Classification with NN

CNN architecture and convolution operations
Pooling layers and feature maps
Famous architectures: VGG, ResNet, Inception
Transfer learning and fine-tuning
Object detection with YOLO and R-CNN
Image segmentation techniques
Data augmentation strategies
Project: Build a Face Recognition System

RNN architecture and sequence modeling
LSTM and GRU networks
Text preprocessing and tokenization
Word embeddings: Word2Vec, GloVe
Attention mechanisms and Transformers
BERT, GPT, and modern NLP models
Project: Sentiment Analysis System

Generative Adversarial Networks (GANs)
Autoencoders and variational autoencoders
Reinforcement learning basics
Meta-learning and few-shot learning
Neural architecture search
Project: Build a GAN for Image Generation

PyTorch tensors and autograd
Building models with nn.Module
Custom datasets and dataloaders
Training loops and optimization
GPU acceleration with CUDA
Distributed training techniques
Project: Research-Grade Model Implementation

Model serialization and versioning
Building REST APIs with Flask/FastAPI
Containerization with Docker
Cloud deployment (AWS, GCP, Azure)
Model monitoring and maintenance
Project: Deploy ML Model to Production

Choose from 5 industry-level projects
Complete end-to-end ML pipeline
Weekly mentor reviews and feedback
Final presentation and code review
Portfolio-ready project for job applications

Your Instructor

Bakht Muhammad

AI Expert & Founder of Qorpil

With over 5 years of experience in AI and Machine Learning, Bakht has trained 1,500+ students across 21+ countries. He has worked on production ML systems, published research papers, and led AI teams at major tech companies. His teaching style focuses on practical, real-world applications that prepare students for industry success.

4.9/5 Instructor Rating

1,500+ Students Taught

10+ Courses Created

Student Reviews

Sarah Johnson

Data Scientist at Google

"This course transformed my career! The hands-on projects and personalized mentorship helped me land my dream job at Google. Best ML course I've ever taken."

Ahmed Khan

ML Engineer at Microsoft

"Bakht's teaching style is exceptional. He explains complex concepts in simple terms and provides real-world context. The deployment module was particularly valuable."

Maria Rodriguez

AI Researcher

"The PyTorch module and capstone project were game-changers. I now have a portfolio that stands out. Worth every penny!"

Frequently Asked Questions

Basic Python knowledge is recommended, but we start from fundamentals. We provide preparatory materials to get you up to speed.

A computer with 8GB RAM and internet connection. We provide cloud GPU access for heavy computations, so you don't need expensive hardware.

Lifetime access! You can revisit materials anytime and get free updates as we add new content.

Yes! We provide career coaching, resume reviews, interview prep, and connections to our hiring partner network.