Fundamentals of AI - Machine Learning, Deep Learning & Robotics
Course Date
Venue
Course Fee/pax
June 24-26, 2019 Singapore S$1450

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.
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..
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.

Download Course
For more information on the course, email us at [email protected] or call us at +65 6323 4084

Course Content Outline

Day 1

Session 1 – Artificial Intelligence
Introduction
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
Introduction
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
Regularization
Optimisation
Use Case – Machine Learning / Deep Learning
Session 4
Quiz

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

Testimonials

Appreciating the organizer for organizing the workshop on Artificial Intelligence and Machine Learning. I am grateful to the facilitators of Advance SCS who absolutely gave their best. We learnt a lot of new things as well as technical expertise from this training. I believe that it would be very helpful to our professional day-to-day activities.
Md. Shahidul Islam