Certificate Program in AI in Digital Transformation
- Onsite
- Intakes: Jan, Apr, Jul, Oct
The AI for Digital Transformation Certification introduces beginners to AI tools and applications, focusing on optimizing processes and driving innovation. With hands-on exercises, participants gain practical skills to apply AI in real-world scenarios.
Course Description
This certification program introduces beginners to the role of Artificial Intelligence (AI) in driving digital transformation across industries. Participants will explore AI concepts, tools, and applications, learning how to leverage AI technologies to optimize processes, enhance decision-making, and create innovative solutions.
The program emphasizes practical knowledge and hands-on exercises, enabling learners to apply AI concepts to real-world scenarios.
Learning Outcomes
By the end of this certification, participants will:
- Understand fundamental AI concepts and their impact on digital transformation.
- Identify key AI applications in business operations, customer experience, and innovation.
- Utilize AI tools and frameworks to analyze data and generate insights.
- Implement basic AI-driven solutions in organizational settings.
- Assess the ethical and societal implications of AI adoption.
- Develop strategies for integrating AI into digital transformation initiatives.
Target Audience
- Professionals seeking to understand AI’s role in digital transformation.
- Managers, business leaders, and decision-makers interested in leveraging AI for innovation.
- IT professionals exploring AI tools and technologies.
- Students and beginners with a basic understanding of computers and technology.
Course Outline
Module 1: Introduction to AI and Digital Transformation | |
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Defining AI and digital transformation. The role of AI in enabling innovation. Case studies of AI-driven transformation. |
Module 2: Basics of Machine Learning and AI Algorithms | |
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Introduction to supervised and unsupervised learning. Overview of common AI algorithms (e.g., regression, classification, clustering). Tools and platforms for AI development. |
Module 3: Data Science and AI in Decision-Making | |
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Data’s role in AI applications. Introduction to data collection, cleaning, and analysis. AI for predictive and prescriptive analytics. |
Module 4: Natural Language Processing (NLP) Basics | |
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Understanding NLP and its applications (e.g., chatbots, sentiment analysis). Tools and techniques for NLP. Hands-on: Building a basic chatbot. |
Module 5: Computer Vision and Image Recognition | |
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Overview of computer vision and AI-powered image recognition. Applications in healthcare, retail, and security. Hands-on: Identifying objects using AI tools. |
Module 6: AI in Automation and Robotics | |
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How AI drives automation in industries. Introduction to robotic process automation (RPA). Real-world examples: Manufacturing and logistics. |
Module 7: AI in Customer Experience | |
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AI tools for personalized marketing and customer insights. Enhancing customer support with AI (e.g., virtual assistants). Hands-on: Creating a basic recommendation system. |
Module 8: Ethical AI and Responsible Innovation | |
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Ethical considerations in AI deployment. Bias in AI and how to mitigate it. Regulatory frameworks and guidelines. |
Module 9: AI in Cloud and Edge Computing | |
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Introduction to cloud-based AI platforms (e.g., AWS, Google Cloud, Azure). Edge AI and its applications in IoT. Implementing AI solutions on cloud platforms. |
Module 10: AI in Industry 4.0 | |
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Applications of AI in smart manufacturing and IoT. Digital twins and predictive maintenance. Real-world case studies. |
Module 11: Designing AI-Powered Digital Transformation Strategies | |
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Building a roadmap for AI adoption in organizations. Identifying opportunities for AI-driven innovation. Change management in AI projects. |
Module 12: Capstone Project | |
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Designing and implementing an AI-driven solution for a real-world problem. Project presentation and feedback. Certification completion assessment. |
Method of Delivery
The delivery method is Online and Onsite
For students joining online, it is mandatory to have access to a personal computer.
Medium of Instruction
Sinhala and Simple English
Course Duration
3 Months | 48 Hours
2 Hours | 2 Days per week
Course Schedule
Online and Onsite
Course Fee
Rs 36,000/=
Full course fee is Rs 48,000/=, but the fee will be with a 25% discount.
Payment Method
Rs 12,000/= X 3 monthly installments
How to Apply
- You Apply
Tell us a little about yourself and we’ll help with the rest. Our convenient online application tool only takes 10 minutes to complete.
- We Connect
After you submit your application, an admissions representative will contact you and will help you to complete the process.
- You Get Ready
Once you’ve completed your application and connected with an admissions representative, you’re ready to create your schedule.
How To Apply
Your Application
Tell us a little about yourself and we’ll help with the rest. Our convenient online application tool only takes 10 minutes to complete.
Our Response
After you submit your application, an admissions representative will contact you and will help you to complete the process.
Your Journey
Once you’ve completed your application and connected with an admissions representative, you’re ready to create your schedule.