Professional Diploma in Artificial Intelligence (Up to 90% funding and job placement available)

Lithan


Course introduction

This programme will train and place you in an AI development job role to kick-start your AI career. You could receive up to 90% funding* on your training and job placement assistance to ensure a smooth transition to your new AI job role. 
*Terms and conditions apply.



Course Benefits


Acquire Artficial Intelligence Skills
Learn machine learning, deep learning, reinforcement learning and natural language processing (NLP) among many other AI skills.

Online Synchronous Sessions
We deliver online synchronous sessions through a combination of instructor-led flipped classes and personalised mentoring by industry practitioners on your assignments and projects to greatly increase your efficiency and effectiveness in acquiring knowledge and skills.

Job Placement Assistance
We will assist you in getting hired with more than 50 hiring employers working with us.

Up to 90% Funding
Singapore Citizens / Permanent Residents can receive up to 90% funding* from SkillsFuture Singapore and further subsidies using your SkillsFuture credit and Post-Secondary Education Account.
*Terms and conditions apply.



Course Pre-Requisites


At least 1 GCE 'A'/'H2' Level pass or equivalent and minimum 1-year of programming experience



Target Audience


Individuals who are interested in an AI career



Course Outline


Introduction to Python and AI for Data Science

  • Machine Learning Concepts
  • Various concepts used in Artificial Intelligence
  • Statistical Methods in Machine Learning
  • Tools and Methodologies used in Python Programming Language
  • Python Language Fundamentals: basic syntax, variables and types
  • Functions, Packages and Methods used in Python
  • Create and manipulate regular Python Lists
  • Various statistical algorithms that can be applied in Python
  • Basic Plot with Matplotlib
  • Control flow and Pandas data frame

Applied Machine Learning
  • Machine Learning and computational modelling techniques used within it
  • Usage of Azure Machine Learning Studio
  • Improvement methods of machine learning models
  • Evaluate Machine Learning Models
  • Planning for Analysis, Power and Simple size planning
  • Learn Research practices
  • Various research claims
  • Survey design and measurement, Reliability and Validity
  • Correlation and Experimental design

Advanced techniques in Data Analytics
  • Derivatives and optimization
  • Planning for Analysis, Power and Simple size planning
  • Statistics and Probability
  • Research practices
  • Legal and ethical foundations in Data practice
  • Bias in Data processing and Data privacy

Deep Learning Foundations
  • Machine Learning and computational modelling techniques used in Deep Learning
  • Various features within Machine learning and Deep Learning
  • Mathematical models and theory applied in Deep Learning
  • Evaluate Machine Learning Models
  • Multi-Layer perception
  • Convolution Neural Network

Reinforcement Learning Foundations
  • Types of information display using Reinforcement Learning
  • Techniques used in Data visualization with Reinforcement Learning
  • Specification and requirements of RL
  • Gathering, Processing and optimizing accuracy and functionality in Temporal difference Learning
  • Processing multiple streams of data using Deep neural networks

Develop Applied AI Solutions
  • Understanding on various industry developments and trends in Artificial Intelligence
  • Modelling tools used in Natural Language Processing(NLP)
  • Functions and Methods applied in NLP
  • various algorithms and its use in Artificial Intelligence
  • Deep Reinforcement Learning
  • Models used for Machine Learning and Conversation generation
  • Documentation requirements and protocols in problem management
  • Usage of documentation tools, systems and records to log relevant information throughout the problem's lifecycle



Available Course Sessions


Please click here to stay updated on upcoming sessions.



Trainer Profile


ACTA Certified and Industry Practitioner

All our trainers are WSQ Advanced Certificate in Training and Assessment (ACTA) certified and industry practitioner who can impart real-world experience through actual work examples or case studies.



 

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