1. Maths foundations: Linear Algebra & Matrices, Probabilities, Statistical tests
2. Data management skills:
a. Statistical programming with R & Data Science fundamentals: data cleaning, regressions, dimension reduction
b. Data management with SQL
3. Big Data Architecture:
a. Hadoop & HDFS
b. Apache Spark
c. AWS, preparation to the Associate Solution Architect AWS certification
(needs prior experience or additional Amazon free training)
4. Programming tools & languages:
a. Git/GitHub
b. Python
c. Programming best practices, algorithms & complexity

1. Supervised Learning methods: linear & logistic regressions, SVM, kNN, decision trees
2. AI & ML API: Google / Amazon / Microsoft ML APIs
3. Unsupervised Learning methods for Clustering
4. AI / ML / DL frameworks & libraries - TensorFlow
5. Deep Learning methods: Neural Networks (NN), Convolutional NN (CNN),
Recurrent NN (RNN), Long-Short Term Memory (LSTM), Auto-encoders, Time-series analysis
6. Reinforcement Learning & Transfer Learning techniques: Discover how to transfer your model from a domain to another similar data domain
7. Mini-project Customer Segmentation (e-Commerce)
8. Mini-project Fraud detection (Banking)

1. Image Processing & Computer Vision: Discover the main Image Processing
AI techniques for Image classification, Image recognition and Computer Vision (with OpenCV)
2. Natural Language Processing (NLP): Names classification (using RNN & Pytorch), Speech recognition & representation (with LibROSA library)
3. Mini-project Medical Diagnosis chatbot
4. Mini-project Computer vision for Autonomous cars

1. HR Interview Preparation
2. Technical Interview Preparation
3. Your personal project!