About Artificial Intelligence Engineer

  • OVERVIEW

    Artificial Intelligence Engineer Masters course help trainees become experts in Artificial Intelligence and Data Science. This course is designed to help learners become industry-ready for Artificial Intelligence and Data Science job roles.

Tools Covered

Artificial Intelligence Engineer Learning Path

  • Lesson 1 - Introduction to Artificial Intelligence

    Introduction to AI course provide trainees with an in-depth understanding of AI concepts and workflows, machine learning and deep learning. This course help learners understand the difference between supervised, unsupervised, and reinforcement learning. This training also help learners to gain clarity on the business applications of AI.

  • Lesson 2 - Data Science with Python

    Data Science with Python course provide trainees with an in-depth of the basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. This training teaches learners use libraries like pandas, numpy, matplotlib, scikit. This course help trainees master different concepts like Python machine learning, sequence and scripts.

  • LESSON 3 - Machine Learning

    Machine Learning Course provide trainees with an in-depth understanding of the concepts of Machine Learning and its implementation in Python programming language. This training also help learners in understanding the concepts of Reinforcement Learning, Regression, Classification, Time Series Analysis.

  • Lesson 4 - Deep Learning with Keras and TensorFlow

    Deep Learning course with Keras and Tensorflow certification training course provides an understanding of Deep Learning, AI, Neural Networks and implementation of Machine learning algorithms. It also provides hands-on training on Deep Learning in TensorFlow using Python.

  • Lesson 5 - Natural Language Processing NLP (Advanced Deep Learning and Computer Vision)

    The Natural Language Processing course provide trainees with an insight into the science of applying machine learning algorithms to process large amounts of natural language data. NLP is one of the key drivers of the AI market. This course equip learners with the skills required to become an NLP Engineer.

  • Lesson 6 - AI Capstone Project (Advanced Deep Learning and Computer Vision)

    Upskill Yourself’s Artificial Intelligence (AI) Capstone project provide trainees with the opportunity to implement the skills learned in the course. This project help learners with a first hand experience of solving a real industry-aligned problem.

  • Lesson 7 - Electives

    • Industry Master Class – Artificial Intelligence
    • Python for Data Science