Highlights
- Learn the history of Artificial Intelligence (AI) and its impact on the world of business
- Gain an overview of Machine Learning that covers concepts, terminology and techniques
- Learn about automation in the workplace and productivity of employees
- Gain an introduction to Big Data
- Explore chatbots, natural language processing (NLP) and Deep Learning
- Understand the tools for data scientists and non-data scientists
- Build your AI capability and apply data science principles
- Learn about the opportunities for businesses
- Explore the industry trends and the future of the workplace
Course Details
Introduction to AI
- History of Artificial Intelligence - Once confined to the corridors of academia, AI is now having a massive impact on the world of business and beyond.
- Discover what changed in just the last 10 years, from the explosion of open source software to the big data revolution, to yield what The Economist now calls the fourth industrial revolution.
Introduction to ML
- Machine Learning - An overview of machine learning covering concepts, terminology and techniques along with case studies and examples.
Automation in the work place
- Maximizing impact from AI doesn't necessarily mean deploying self-aware intelligent systems.
- Currently a huge source of value is derived from simply automating complex processes, resulting in less busywork and increased productivity for employees.
A brief introduction to Big Data
- What is Big Data, where did it come from, and a non-technical overview of common technologies used within the industry such as Hadoop and MapReduce.
- Chatbots, natural language processing and deep learning - A light summary of other related technologies within the field of Artificial Intelligence and their use cases within businesses.
- Tools for Data Scientists and non-Data Scientists - Overview of common tools for data munging, machine learning, data visualization and building dashboards.
Building your AI capability
- Skills and traits of successful data scientists, how to build a data team, how to apply data science principles when hiring, and recommended resources for individual skill development.
Opportunities for businesses
- Where are the opportunities for organizations looking to invest in data initiatives, the challenges inherent in building a data-driven culture, and solutions with case studies.
The future of the workplace
- A look at industry trends and what the future may bring.
Who should attend
Business and IT staff looking to learn about AI at a high level
Feedback
4.8 out of 5 average
"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
