In the AI/Machine Learning track, you’ll be working with popular tools such as Python, Tensor Flow, Jupyter, Keras, and Panda, which are commonly used in the industry. Throughout the course, you’ll have the chance to work on 10+ projects that will help you enhance your expertise in various areas including advanced architecture, advanced machine learning, advanced algorithms, decision-making skills, leadership, AI, different types of algorithms, building a portfolio, machine learning, cloud computing, data engineering, and open-source software.
You will also be expected to engage in 30-40 technical interview role plays, simulating real job interview scenarios to better prepare for actual interviews. Additionally, you will undergo resume and cover letter reviews, similar to the peer code reviews conducted in the program.
Our AI/Machine Learning Engineer program is designed with the aim of training learners to meet the high standards of Silicon Valley in the field of machine learning. It places a strong emphasis on honing skills related to structured problem solving, critical thinking, and thorough preparation to meet the requirements of entry-level positions demanded by employers.
As an example project within this program, learners are tasked with creating an AI system capable of playing and mastering classic or vintage video games. This project necessitates the application of advanced algorithms, optimization techniques, model design, deep learning principles, and the implementation of neural networks.
