Artificial Intelligence Engineer (E-Learning)

This Artificial Intelligence Engineer Master’s Program, in collaboration with IBM, gives training on the skills required to become a successful Artificial Intelligence Engineer. Throughout this exclusive online course, you’ll master Deep Learning, Machine Learning, and the programming languages required to excel in this domain and kick-start your career in Artificial Intelligence.

This self-paced E learning course is done in partnership with SimpliLearn with over 190 hours of interactive learning by industry experts.

This co-developed Simplilearn and IBM Artificial Intelligence Engineer Master’s Program is a blend of Artificial Intelligence, Data Science, Machine Learning, and Deep Learning, enabling the real-world implementation of advanced tools and models. The program is designed to give you in-depth knowledge of Artificial Intelligence concepts including the essentials of statistics required for Data Science, Python programming, and Machine Learning. Through these AI courses, you will learn how to use Python libraries like NumPY, SciPy, Scikit, and essential Machine Learning techniques, such as supervised and unsupervised learning, advanced concepts covering artificial neural networks and layers of data abstraction and TensorFlow. 

Artificial intelligence and Machine Learning will impact all segments of daily life by 2025, with applications in a wide range of industries such as healthcare, transportation, insurance, transport and logistics, and customer service. A role in this domain places you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond. 

Pre-Requisites

Participants in this AI course should know Python programming concepts and basic statistical knowledge to understand the essential Machine Learning and AI concepts.

Course 1:

• Introduction to Artificial Intelligence
• This Introduction to Artificial Intelligence (AI) is designed to help learners decode the mystery of artificial intelligence (AI) and its business applications. This AI for beginners course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics.

Course 2:

• Data Science with Python
• The Data Science with Python course provides a complete overview of Data Analytics tools and techniques using Python. Learning Python is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlock your career as a Data Scientist.
• Industry Projects

Course 3:

• Machine Learning
• Explore the concepts of Machine Learning and understand how it’s transforming the digital world. An exciting branch of Artificial Intelligence, this Machine Learning certification online course will provide the skills you need to become a Machine Learning Engineer and unlock the power of this emerging field.
• Industry Projects

Course 4:

• Deep Learning with Keras and TensorFlow
• This Deep Learning course with Tensorflow certification training is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks and implement deep learning algorithms, preparing you for a career as Deep Learning Engineer.

Course 5:

• Advanced Deep Learning and Computer Vision
• Advanced Deep Learning and Computer Vision

Course 6:

• Natural Language Processing
• The Natural Language Processing course gives you a detailed look at the science of applying machine learning algorithms to process large amounts of natural language data. NLP is driving the growth of the AI market, and this course helps you develop the skills required to become an NLP Engineer.

Course 7:

• AI Capstone Project
• Simplilearn’s Artificial Intelligence (AI) Capstone project will give you an opportunity to implement the skills you learned in the masters of AI. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers.