Certificate Programme in Introduction to Artificial Intelligence

The Introduction to Artificial Intelligence course is a comprehensive 40-hour online programme designed to provide learners with a strong foundation in AI.

Duration:

40 Hours

Delivery Method

Online

Commencing Date

2026 May 19

Schedule

Tuesday and Thursday - 7.30 pm To 9.30 pm

About the Programme

The Introduction to Artificial Intelligence course is a comprehensive 40-hour online programme designed to provide learners with a strong foundation in AI. It covers essential topics such as search algorithms, knowledge representation, machine learning, deep learning, natural language processing, and ethical considerations in AI. Participants will gain both theoretical understanding and hands-on experience through engaging practical sessions using Python, scikit-learn, TensorFlow, and other tools. The course culminates in a capstone project where learners apply their knowledge to solve real-world problems, fostering both skill development and creativity.

intro-image
Module 1 – Foundations of AI 
  • Definition and history of AI
  • Goals and types of AI (Narrow, General, Super AI)
  • AI vs. Machine Learning vs. Deep Learning
  • Applications of AI across industries
  • Practical:
    • Setting up Python + Jupyter + libraries (NumPy, Pandas)
    • Introduction to Python
Module 2 – Problem Solving and Search 
  • State-space search
  • Uninformed search (BFS, DFS)Informed search (A*, Greedy search)
  • Practical:
    • Implement BFS and DFS in Python
    • Simple puzzle solving (8-puzzle, pathfinding)
Module 3 – Knowledge Representation and Reasoning 
  • Propositional & First Order Logic
  • Rule-based expert systems
  • Ontologies

     

  • Practical:
    • Build a basic rule-based expert system
Module 4 – Machine Learning Basics 
  • Supervised, Unsupervised, Reinforcement Learning
  • Supervised Learning Algorithms- Linear Regression, Logistic Regression, Decision Trees, k-NN
  • Evaluation metricsUnsupervised Learning Algorithms – K Means Clustering, Hierarchical Clustering
  • Practical:
    • Hands-on with sklearn: Regression, Classification, Clustering
    • Train/Test split, Accuracy evaluation
Module 5 – Deep Learning Essentials 
  • Neural Networks basics
  • Activation functions, Backpropagation
  • Introduction to CNNs and RNNs

     

  •  Practical:
    • Build a simple neural network using TensorFlow/PyTorch
    • Image classification with MNIST dataset
Module 6 – Natural Language Processing 
  • NLP tasks- Tokenization, Stop Word Removal, Stemming, Lemmatization, NER
  • Text classification, Sentiment analysis
  • Word embeddings (Word2Vec, GloVe basics)

     

  • Practical:
    • Sentiment analysis using NLTK or Hugging Face transformers
    • Simple Chatbot Prototype
Module 7 – AI Ethics and Responsible AI 
  • Bias, fairness, privacy, explainability
  • Responsible AI frameworks
  • Practical:
    • Case studies discussion
    • Analyze fairness in a small dataset
Module 8 – Applications, Trends & Project Work 
  • AI in healthcare, finance, transportation
  • Emerging trends- Generative AI, LLMs, Autonomous Systems
  • Practical:
    • Capstone project: Students choose an AI mini-project
    • Presentations and evaluations
40 Hours
Online
2026 May 19
Tuesday and Thursday - 7.30 pm To 9.30 pm

Per Participant Fee: Rs.41,000/- (Rs. 21,000/- * 2 Installments)

Program fee can be paid to/transferred to Bank of Ceylon in favor of the SLIIT current A/C 0072821605 and the receipt should be emailed to pdpcontact@sliit.lk before the commencement of the Program.

Following are the required Payment Details:

  • Name of the Bank – Bank of Ceylon
  • Name of the Account – Sri Lanka Institute of Information Technology
  • Account Number - 0072821605
  • Branch – Kollupitiya
  • Branch Code - 034

Please include your Full Name, Home Address, NIC Number, Mobile Number, Email Address and Minimum Qualification when emailing the payment receipt.

Refund Policy

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  • pdpcontact@sliit.lk

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Refund Policy

  • The students who request for Refunds are strictly advised to Email the requirement to pdpcontact@sliit.lk
  • Only those who have made the full class fees are entitled to apply for a refund. The class fee paid as an installment will not be refunded
  • Applicants who have not followed the course for more than one week will be entitled to a refund of 90% of the payment provided
  • Applicants who have followed the course for less than one month will be entitled to a refund of 50% of the payment provided
  • No refund will be provided after a period of one month
  • The course fee is not transferable under any circumstance