CMDBID: 108937 | Course Code: AI GK9929 | Duration: 1 Days
This one day workshop will introduce to the terminology, tools and high level considerations that need to be considered and understood to ensure the best possible outcome for an AI implementation.
The workshop is aimed at the individuals charged with implementing an AI solution.
At the end of this workshop delegates will:
Gain a greater understanding of the tools used in AI
Be able to identify the hardware required to optimise an AI solution
Have a greater insight into Data Analysis and Analytics within AI
Be equipped to realise the benefits of Machine Learning and Deep learning
A desire to understand where AI can be beneficial to your business.
Data Science Languages
The Role of Python in Artificial Intelligence
Python Libraries for Artificial Intelligence
NumPy: NumPy the computing library for Python.
SciPy: SciPy is an advanced library containing algorithms that are used for data science
scikit-learn: scikit-learn is Python's main machine learning library
NLTK: Library for natural language processing
TensorFlow: TensorFlow is Google's neural network library used for implementing deep learning artificial intelligence
Understanding the Role of Algorithms
Planning and branching
Local search and heuristics
Using expert systems
Von Neumann bottleneck
Single points of failure
Tasking and multitasking
Graphic Processing Units (GPUs)
Why are GPU's suited to this field?
Application Specific Integrated Circuits (ASICs):
Field Programmable Gate Arrays (FPGAs):
Data Powers AI
What is Data Science?
Data Structures and Formats
Data Quality and Readiness
Data quality and readiness is key to a successful implementation. intelligence is based on knowledge and data is the raw material
Data Analysis for AI
Transforming: Changes the data's appearance
Cleansing: Fixes imperfect data.
Inspecting: Validates the data.
Modelling: Discovers the relationship between the elements present in data.
Define Machine Learning
How machine learning works
What are the benefits of machine learning?
Machine learning approaches
Bayesian networks graph:
Enhancing AI with Deep Learning
Simple neural networks
The strength of the connection between neurons in the network
Continuous learning using online learning
Reusable solutions using transfer learning
Our clients have included prestigious national organisations such as Oxford University Press, multi-national private corporations such as JP Morgan and HSBC, as well
as public sector institutions such as the Department of Defence and the Department of Health.