15% off eLearning, up to 20% off virtual courses - use code: EARLY259USA
7 May 2023 | Updated on 9 September 2025
Artificial Intelligence (AI) has grown rapidly since the 1950s and the scope for its use is vast. As it can be used by many industries for facial recognition, emails, social media, online banking, ana...
Artificial Intelligence (AI) has grown rapidly since the 1950s and the scope for its use is vast. As it can be used by many industries for facial recognition, emails, social media, online banking, analysing and searching databases, navigation, the list could go on.
But without AI Engineers, this wouldn't be possible, as they create AI systems in line with human needs and mission outcomes.
This learning path is structured in five steps, and then there are four electives – here’s an outline of each step:
: this step will help learners understand how AI can be used in business applications. It will provide an overview of AI concepts and workflows, Machine Learning, Deep Learning, and performance metrics, and will teach learners the difference between supervised, semi-supervised and unsupervised learning. You’ll also learn about:
this step will teach you the essential concepts of Python programming and gain in-depth knowledge in data analytics, Machine Learning, data visualization, web scraping, and natural language processing. By the end of this step, you’ll:
Machine Learning is a form of Artificial Intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. And this step will teach you concepts and techniques, including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modelling to develop algorithms. On completion of this step, you’ll:
this step developed in collaboration with IBM will teach you the concepts of deep learning and TensorFlow to build artificial neural networks and traverse layers of data abstraction. At the end of this step you’ll:
this step will enable you to apply your learned skills and solve a real industry-aligned problem. You’ll also learn AI-based supervised and unsupervised techniques including Regression, SVM, Tree-based algorithms, and NLP. This Capstone course will also be based on the AI decision cycle, and these are the three project milestones:
After all steps have been completed in line with the required criteria, learners will receive two ‘Certificates of Achievement’ from Simplilearn and IBM. As part of the learning path, learners will also have access to these electives:
This AI Engineer Learning Path is delivered digitally using:
Training in this learning path will enable learners to:
Visit ILX.com to learn more and book training