Tech For Development -T4D would like to invite you to a high impact Training Course in Introduction to Artificial Intelligence,Machine and Deep Learning to be held in Nairobi, Kenya from 2nd to 6th Dec,2019
Event Information
Course Name: Introduction to Artificial Intelligence,Machine and Deep Learning
Venue: Tech for Development Training Center, Nairobi, Kenya
Event Date: 2nd to 6th Dec,2019
Course Fee: KES 50,000 OR USD 666
Online Registration: Register here
Course Description
Artificial intelligence has become a powerful driving force in a wide range of industries, helping people and businesses create exciting, innovative products and services, enable more informed business decisions, and achieve key performance goals.
Artificial Intelligence is the ability of machines to seemingly think for themselves. AI is demonstrated when a task, formerly performed by a human and thought of as requiring the ability to learn, reason and solve problems, can now be done by a machine. A prime example is an autonomous vehicle. The vehicle is able to perceive its surroundings and make decisions in order to safely reach its destination with no human intervention. Converging technologies along with Big Data and the Internet of Things (IoT) are driving the growth of AI. Machines communicate with one another and are now capable of advanced perception, capturing millions of data points in seconds, processing the information and making decisions, all in a matter of seconds. As AI evolves, machines will have more capability to physically act based on their intelligence, eventually leading to machines that can build better versions of themselves.
The field of Artificial Intelligence (ai systems) encompasses computer science, natural language processing, math, psychology, neuroscience, data science, machine learning and many other disciplines. An introductory course in AI is a good place to start as it will give you an overview of the components bring you up to speed on the AI research and developments to date. You can also get hands-on experience with the AI programming of intelligent agents such as search algorithms, games and logic problems. Learn about examples of AI in use today such as self-driving cars, facial recognition systems, military drones and natural language processors.
This course will introduce you to the basics of AI. Topics include machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.
Who should attend:
Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning
Developers aspiring to be an artificial intelligence engineer or machine learning engineer
Analytics managers who are leading a team of analysts
Information architects who want to gain expertise in AI algorithms
Analytics professionals who want to work in machine learning or artificial intelligence
Graduates looking to build a career in artificial intelligence or machine learning
Requirements
Basic computer skills
A passion to learn
Basic python is an added advantage
Duration
5 Days
Learning Outcomes
Upon completion of this course, you will understand
The meaning, purpose, scope, stages, applications and effects of AI
Fundamental concepts of machine learning and deep learning
The difference between supervised, semi-supervised and unsupervised learning
Machine Learning workflow and how to implement the steps effectively
The role of performance metrics and how to identify their key methods
Course Content
Module I
Introduction
What is AI?
Basics of Artificial Intelligence
Intelligent agents
Module II
Decoding Artificial Intelligence
Meaning and scope of Artificial Intelligence
Three Stages of Artificial Intelligence
Impact of AI
Application domains for Artificial Intelligence
Some real-world Applications of AI
Image recognition
Solving problems with AI
Module III
Fundamentals of Machine Learning and Deep Learning
Meaning of Machine Learning
Relationship between Machine Learning and Statistical Analysis
Process of Machine Learning
Types of Machine Learning – Supervised, Unsupervised and Semi supervised
Machine Learning Algorithms
Regression algorithms
Instance-based Algorithms
Deep Learning
Artificial Neural Networks
Natural Language Processing, Speech, Computer Vision
Module IV
Machine Learning Workflow
Gathering data
Data pre-processing
Researching the model that will be best for the type of data
Training and testing the model
Evaluation
Module V
Performance Metrics
What are performance metrics?
Need For Performance Metrics
Confusion matrix
Accuracy
Precision
Recall or Sensitivity
Specificity
F1 Score
Methodology
The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.
All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
Accreditation
Upon successful completion of this training, participants will be issued with a certificate of participation.
Hand-on Exercise
Action plan
Visit our website for more details.
Tailor-made training
This training course can also be tailored for your organization. This way, your organization will benefit by:
Using own datasets and tools during the training.
Being able to choose areas of interest you wish the trainer to put more emphasis on.
Taking the course in-house or at a venue of choice.
Cutting on the cost of transport and accommodation.
Testimonials
Kindly visit this link to see video and photo testimonials of our previous training events.
FAQs
Need more information? Kindly visit this link to see answers to frequently asked questions.
How to participate
Contact information
Email: [email protected]
Tel: +254 706909947
Website: www.t4d.co.ke
Kind regards.
Sylvia Kura,
Customer Relationship Officer,
Tech For Development
Innovation for impact