Non-Tech | Prof. Diploma in Data Science & AI | CLaaS2SaaS
Professional Diploma in Data Science & AI
16 weeks Part-time
Data Science & AI
Professional Diploma
Lithan
Course Overview
The “Professional Diploma in Data Science & AI” course equips learners to gain skills for roles such as data scientist, AI specialist, and machine learning engineer.
Through four comprehensive modules, learners master data storage, pre-processing, and machine learning using low-code cloud solutions focusing on practical AI applications. It involves real-world tasks like fraud detection, sentiment analysis, and chatbot development, preparing graduates for impactful careers in data science and AI.
Through four comprehensive modules, learners master data storage, pre-processing, and machine learning using low-code cloud solutions focusing on practical AI applications. It involves real-world tasks like fraud detection, sentiment analysis, and chatbot development, preparing graduates for impactful careers in data science and AI.
Apply data pre-processing techniques to clean, format, and prepare data for effective machine learning model training.
Develop, test, and optimize machine learning models for tasks including classification, regression, and clustering with high accuracy.
Implement advanced face and optical character recognition systems using state-of-the-art deep learning algorithms for image processing.
Utilize Azure AI Language services to efficiently extract, interpret, and analyze text data for meaningful insights.
Design, deploy, and manage AI-driven applications to significantly enhance customer engagement, interaction, and support.
Master these tech tools
Be a Data Science Specialist
13 minutes
Explore how anyone—even without a tech background—can become a Data Science Specialist through a skill-first, work-integrated learning journey. This episode breaks down career pathways, real-world projects, and stackable credentials that open doors to high-demand Data Science roles.
Personalized, work-integrated & outcome-based learning method
Learn in a competency-based curriculum aligned with Singapore’s skills framework. With a 70:20:10 learning approach, you’ll engage in expert-led projects for work-ready skills.
E-Learning
36 hours
36 hours
Projects/Assignments
108 hours
108 hours
Flipped Class/Mentoring
36 hours
36 hours
Additional Practice
60 hours
60 hours
Assessment
2 hours
2 hours
Prerequisites
Target Audience
Candidates must have a minimum of an O level or its equivalent and has experience in data analytics or AI or low-code app development. Candidates who have completed Lithan Professional Certificate in Data Analytics & AI course. This course is ideal for candidates who wish to acquire data science and AI skills.
Candidates must have a minimum of an O level or its equivalent and has experience in data analytics or AI or low-code app development. Candidates who have completed Lithan Professional Certificate in Data Analytics & AI course. This course is ideal for candidates who wish to acquire data science and AI skills.
Admission Prerequisite
Academic Qualification:
- Minimum O level or its equivalent with English and Mathematics credit with minimum 2 years experience in data analytics or AI or Low code app development related job roles
- Lithan Professional Certificate in Data Analytics & AI
Graduation Requirements
Minimum attendance of 75% in all the sessions of each module
Minimum pass grade in the summative assessment of each module
Minimum pass grade in the summative assessment of each module
Module Summary
Module 1
Module 2
Module 3
Module 4
Module 1
Data Science Essentials
Session Plan Details
Get introduced to foundational Python skills and data processing techniques. It covers machine learning basics and hands-on AutoML applications. Engage in projects exploring diverse machine learning algorithms and model comparisons. This module cultivates proficiency in data fundamentals, AI principles, and automated machine learning development, preparing learners with practical skills for data-driven environments.
What You’ll Learn
- Introduction to Python programming
- Functions, Conditional Statements, and Data Processing
- Fundamentals of data and storage
- Introduction to Machine Learning
- Automated Machine Learning
Module 2
Applied Machine Learning
Session Plan Details
Master predictive modeling, data classification, and pattern recognition techniques. Delve into text analysis using Azure’s Language Service, gaining insights into processing and extracting meaningful information from textual data. Get hands-on projects with Azure ML Designer to refine skills in applying machine learning to real-world scenarios.
What You’ll Learn
- Regression tasks
- Classification tasks
- Clustering tasks
- Azure AI Services for Pre-built models
- Text Analysis with the Language Service
Module 3
Deep Learning
Session Plan Details
Acquire a comprehensive exploration of computer vision, image classification, and natural language processing. Gain practical skills through projects like optical character recognition and text analysis using Azure AI tools. Excel in applying deep learning techniques to tasks such as face recognition and text extraction, for enhanced ability to tackle real-world challenges effectively.
What You’ll Learn
- Introduction to Computer Vision
- Face Recognition and optical character recognition
- Image classification
- Introduction to Natural Language Processing
- Conversational Language understanding
Module 4
Capstone Project – Data Science and Artificial Intelligence
Session Plan Details
Apply skills from earlier modules in real-world projects, focusing on data analysis, machine learning, and deep learning techniques. Gain hands-on experience, collaborating with professionals, and honing critical skills like problem-solving and communication. Be prepared to excel in data science and AI roles, bridging academic knowledge with industry demands effectively.
What You’ll Learn
- Immerse in the day-to-day operations of live industry projects, apply technical skills in data analysis, machine learning model development, and the utilization of deep learning techniques. Also cultivate critical thinking, problem-solving, and communication skills within a professional context.
Module 1
Module 2
Module 3
Module 4
Module 1
Solution Sales
Session Plan Details
Master the essentials of product marketing. Learn segmentation, targeting, and positioning strategies, develop product-market fit, create a solution sales canvas, and understand the sales and marketing funnel for effective lead qualification, closing, and post-conversion phases.
What You’ll Learn
- Segmentation, Targeting, Positioning and Product Market Fit
- Develop a Solution Sales Canvas
- Sales & Marketing Funnel – Discovery & Prospecting Phase
- Sales & Marketing Funnel – Lead Qualification & Solution Phase
- Sales & Marketing Funnel – Closing & Post Conversion Phase
Module 2
Generative AI
Session Plan Details
Explore the applications of generative AI models like OpenAI and ChatGPT in digital marketing. Learn various use cases for research, content generation, and business productivity. Gain hands-on experience in building ChatBots using tools like Microsoft Virtual Assistant.
What You’ll Learn
- Introduction to Generative AI Models
- Introduction to OpenAI & Application of ChatGPT
- ChatGPT Use Cases for Research & Content Generation
- ChatGPT Use Cases for Business Productivity
- Building a ChatBot – Microsoft Virtual Assistant
Module 3
Agile Project Management (Implementation)
Session Plan Details
Acquire skills in agile project management methodologies. Learn Scrum framework for project execution, build agile teams for collaboration, and implement agile planning to effectively manage digital marketing projects with flexibility and adaptability.
What You’ll Learn
- Agile Project Management and Project Management using Scrum
- Building a Scrum Team and Scrum Planning & Implementation
- Case Study 1 – About Product Team Implementing Scrum
- Case Study 2 – Implementation of Scrum
- Case Study 3 – Org Structure / Team Structure
Module 4
Capstone Project – Digital Marketing and Implementation
Session Plan Details
Apply knowledge and skills acquired throughout the course in a comprehensive capstone project. Review and optimize digital marketing plans, search ads, social media campaigns, content marketing strategies, SEO activities, and website optimizations. Develop and execute automated marketing campaigns, product marketing strategies, and apply agile methodologies to real-world marketing projects.
What You’ll Learn
- Application of digital marketing strategies
- Optimization of marketing plans and campaigns
- Development and execution of automated campaigns
- Implementation of product marketing strategies
- Application of agile methodologies
Flexible Learning Pathway
The Professional Diploma in Data Science & AI makes you eligible for a Top-Up Master’s Degree in Computer Science awarded by Università degli Studi Guglielmo Marconi (Guglielmo Marconi University), Italy.
Professional Certificate in Data Analytics & AI
Professional Certificate
Professional Diploma in Data Science & AI
Professional Diploma
Master in Computer Science
Master’s Degree
Certification(s)
Certification(s) Earned
- Professional Diploma in Data Science & Artificial Intelligence awarded by Lithan
- Designing and Implementing a Data Science Solution on Azure (DP 100)*
- Microsoft Certified: Azure AI Engineer Associate (AI-102)*
*Taking this certification is not mandatory. However, if the learner wishes to pursue it, they need to register for the examination after paying the necessary fees wherever it is applicable. Please note some certification is free. You can find out from the respective website about this info.
Pricing
Course Fee
USD 2000
Payment Plan
Tuition fee is available for full payment and installments before the start of class. For more details Contact Us.
| Professional Diploma in Digital Marketing Implementation | Installment Plan | Tuition Fees |
|---|---|---|
| Month 1 | USD 1,050 | |
| Month 2-4 | USD 150 /month | |
| Month 5 | USD 1,050 | |
| Month 6-8 | USD 150 /month | |
| Total | 8 installments | USD 3,000 |
About Lithan Academy
Lithan Academy is an accredited training organization endorsed by various government agencies under Singapore’s ministry of education. We are EduTrust certified by the Committee for Private Education (CPE) and a Centre for Continuous Education and Training (CET) appointed by SkillsFuture (SSG) Singapore. We are also an accredited international training center for Pearson UK.
We are recognized for our learning innovation with local and international awards including the Microsoft Global Learning Partner of the Year Award (Top 3) in 2018, Asia’s Pearson’s College of the Year (Bronze) Award in 2019, and AsiaPac CIO’s Top 10 Edutech Solution Provider Award in 2020, amongst others.
Our innovation CLaaS® delivers Competency Learning as a Service to bridge the digital skills gap with competency-based curriculum, work-based learning pedagogy, and blended work2learn journey. CLaaS® courses have received accreditations from education regulatory bodies and over 100 international universities. We have served over 50,000 learners and 2000 enterprises with an above 90% completion rate.
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