Algorithms Specialization by Stanford

1. Divide and Conquer, Sorting and Searching, and Randomized Algorithms

2. Graph Search, Shortest Paths, and Data Structures

3. Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

4. Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

Discrete Optimization by The University of Melbourne

Discrete Optimization

Big Data for Data Engineers by Yandex

1. Big Data Essentials: HDFS, MapReduce and Spark RDD

2. Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames

3. Big Data Applications: Machine Learning at Scale

4. Big Data Applications: Real-Time Streaming

Cloudera Data Science Workbench Training

Cloudera Data Science Workbench Training

Deep Learning by deeplearning.ai

1. Neural Networks and Deep Learning

2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

3. Structuring Machine Learning Projects

4. Convolutional Neural Networks

5. Sequence Models

Digital Signal Processing by EPFL

1. Digital Signal Processing 1: Basic Concepts and Algorithms

Java as a Second Language by LearnQuest

1. Introduction to Java as a Second Language

2. The Java Language

MLOps by Train in Data

Deployment of Machine Learning Models

Testing and Monitoring of Machine Learning Models

GenAI & LLMs

Introduction to LangChain by Damien Benveniste

Advanced: Generative AI for Developers Learning Path by Google Cloud

Kubernetes

Kubernetes by Data Script

Google Cloud Platform

Generative AI Leader

Professional Machine Learning Engineer