Artificial Intelligence and Machine Learning

Program Overview


This program is for executives and professionals who want to learn about the capabilities of Artificial Intelligence, Machine Learning and Deep Learning that are coming to pervade the world and workplace and are finding acceptance in almost all industries and sectors to solve many practical problems of cost management, sales growth and technological innovation.

The program covers concepts, ideas and applications from leading companies and several use cases from the domain of interest to illustrate how these technologies can solve problems and create competitive advantage.

Programme Information

Start date: 15 November 2018
End date: 17 November 2018
Amount: R22 950
Venue: Johannesburg
Contact details: +27 (11) 047 0305 / info@btlisa.com
Program Background
Artificial Intelligence and Machine Learning, the technologies that drive automated reasoning, learning, decision making and perception have already pervaded our lives both in our homes and our workplaces. Artificial Intelligence and Machine Learning are used in our phones, our cars, even some of our home devices, to learn and anticipate our needs. They are also used for a wide variety of web services such as e-mail filtering, data querying and map navigation that we use every day. Soon AI will operate our driverless cars, manage the comfort and security of our homes and facilitate our communications with the global information network.

Artificial Intelligence and Machine Learning are also ubiquitous in the workplace. They power robots that can learn to operate on factory floors or predict which machines need maintenance. They power software tools can match digital ads to users or plan whole marketing campaigns. They can match resumes to jobs, and predict sales and profits. They help doctors make diagnoses, or lawyers prepare for cases. They are already making a big difference in many different domains, including, but not limited to, publishing, manufacturing, retail, hospitality, healthcare, sports management and a host of other services.

Knowledge of AI and Machine Learning, their current capabilities and limitations, and also their future potential is essential for every business that wants thrive and grow in this new millennium. On completion on this masterclass attendees will have a robust set of robotics, artificial intelligence and machine learning skills that can be applied any work setting.

Key Takeaways for Participants

1. Gain an understanding of the fundamentals and business applicabilities of widely adopted disruptive technologies like Artificial Intelligence (AI) Machine Learning (ML), Deep Learning and Robotics.

2. Gain insights, through examples & use cases, about the disruptions, business models, tasks, decision support systems and projections that AI powered apps & systems can bring about in various functional domains of a corporation.

3. Understand the steps involved in the process of deploying AI based tools and apps in one’s organization and also the specializations and skills needed to become an AI professional.

Course Content Outline

Day 1
Session 1 – Artificial Intelligence

History, State of the Art and Future
AI Tasks: Problem solving, search, Knowledge and Reasoning, Decision Making, Learning, Perception and Communication

Session 2 – Artificial Intelligence Applications

  • Robotics
  • Natural Language Processing
  • Autonomous Vehicles
  • Computer Vision

Session 3 – Machine Learning

History, State of the Art and Future
Machine Learning Algorithms
Supervised Learning
Unsupervised Learning
Reinforcement Learning

Session 4 – Artificial Intelligence

AI Use Case

Day 2
Session 1 – Machine Learning

Techniques: Dimensionality Reduction Clustering Classification, Regression Software Tools & Programs used R, Python, Hadoop, SQL, SAS

Session 2 – Deep Learning

Overview & definitions
Neural Networks
Some Applications Areas

Session 3 – Deep Learning

Hyperparameter Tuning
Use Case – Machine Learning / Deep Learning

Session 4


Day 3
Session 1 – AI in Robotics

Robotic Hardware
Robot Perceptions
Uncertain Movement Planning
Robotic Software Architectures
Application Domains

Session 2 – Artificial Intelligence

Economic Impact of AI
Functional Areas where AI is Mostly Used
Trust Factor in AI

Session 3 – AI Project

Project Background
Project Details
Project Objective
Project Work by Participants

Session 4 – Artificial Intelligence

Brief Project Presentation by Participants – Interactive Review & Feedback
Summing Up