AI for Engineering

AI and data methods applied to your own branch of engineering, from signals and circuits to structures and process plants.

13 topics · 112 free resources. Pick a topic to see everything in it by level.

Signal processing, communications and embedded AI for electronics engineers.

17 resources · 10 Beginner · 6 Advanced · 1 Expert

Power systems, machines, control and smart grids, with machine learning applied.

9 resources · 5 Beginner · 4 Advanced

Data-driven engineering, control, robotics and machine learning for physical systems.

16 resources · 1 Beginner · 12 Advanced · 3 Expert

AI for structures, construction, transport and the built environment.

6 resources · 2 Beginner · 3 Advanced · 1 Expert

Algorithms, systems and software engineering for building AI products.

8 resources · 3 Beginner · 4 Advanced · 1 Expert

Process modelling, optimisation and data-driven methods for chemical engineers.

6 resources · 1 Beginner · 5 Advanced

Connected devices and AI at the edge: sensors, microcontrollers, IoT networks and TinyML.

6 resources · 4 Beginner · 2 Advanced

Chip design from Verilog to physical layout, and how AI is changing electronic design.

9 resources · 2 Beginner · 7 Advanced

Robot kinematics, control, planning, ROS and robot learning, for every branch.

8 resources · 2 Beginner · 5 Advanced · 1 Expert

How blockchains, cryptocurrencies and smart contracts work, and where they are useful.

6 resources · 4 Beginner · 2 Advanced

Qubits, quantum circuits and algorithms with Qiskit, and quantum machine learning.

12 resources · 2 Beginner · 10 Advanced

Body signals, medical imaging systems and biological data for biomedical and biotech engineers.

3 resources · 3 Advanced

AI across other disciplines: biotech, aerospace, agriculture, healthcare and more.

6 resources · 4 Beginner · 1 Advanced · 1 Expert

Also in the library: AI & Data Science AI for Industries Cloud & Data Platforms SAP AI / BTP