About AI Academy

  • Application Focused Courses
  • Course Offerings at every level

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As a comprehensive approach to AI transformation, we also help teams get onboarded on speaking the AI language so as to integrate AI within the teams more seamlessly. We are the only approved partner of AI Singapore (Singapore's official AI Programme) on AI trainings. We conduct bootcamps for AI capability certification to prepare individuals for full-fledge Machine Learning roles. Check out our 5 core programmes below, all sessions are customized for the needs of the participants

Course Offerings

AI for business strategy (Senior Leadership)

Format

Seminar-style lectures and interactive classrooms
Facilitated discussions and sharing sessions
Presentation and review

Objectives

Understand implications of AI on businesses (general introduction to what AI is about)
Case studies of the impact of AI revolution (specific industry-based case studies, tailored to client’s industry, function, region)

Benefits of AI-enabled business units (discussion of viable areas of growth in company)
High-level planning of AI-transformation roadmap (presentation and review of discussion)

AI for Hiring (Hiring Managers and HR)

Format
Seminar-style lectures with smaller breakout sessions
Facilitated discussions and sharing sessions
Immersive learning through basic coding session on web-based interface

Objectives
Understand implications of AI on businesses (general introduction to what AI is about)
Build awareness of the current state of AI and its capabilities
Identify key technical skills required to develop inhouse AI technology
Study the workflow of AI projects and products
Gain proficiency basic AI techniques and its uses

Applied Programming and Data Science (Young Professionals)

Format

Lecture-based instruction
Complete coding assignments on own devices
Work through guided lessons and curated datasets
Facilitated discussions and sharing sessions
Project presentations and reviews

Objectives

Gain proficiency Python and SKlearn
Master the use of control structures in algorithms
Learn basics of ML/AI
Build, train and test ML models on curated datasets (numerical and NLP)
Perform data exploration, cleaning, analysis on output
Learn best practices of ML engineer

Introduction to Programming (For Everyone)

Format

Lecture-based instruction
Complete coding assignments on own devices
Facilitated discussions and sharing sessions

Objectives

Gain proficiency Python to be “dangerous”
Master the use of control structures in algorithms
Write simple routines in Python
Use Python libraries
Perform data analysis
Automate processes
Understand impact of automating process management in the business