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8 courses · Turn data into intelligence

Artificial Intelligence & Data

Transform unstructured raw data into predictive intelligence and autonomous generative systems. Learn hands-on neural model training, prompt pipelines, business intelligence dashboards, and responsible AI safety.

Artificial Intelligence & Data lab Batch allocations open for enquiries
  • Foundations

    Artificial Intelligence Fundamentals

    Core concepts of intelligent agents, search algorithms, heuristic evaluation, probabilistic reasoning, knowledge representation, and computer perception.

    Duration
    To be announced
    Signature lab
    Intelligent Agent Simulator

    Key topics

    • State-space search, A* algorithms, and minimax game trees
    • Knowledge graphs, ontology modeling & expert systems
    • Probabilistic reasoning and Bayesian network fundamentals
    • Natural language processing and computer vision baselines
    Course enquiry Syllabus
  • Generative Tech

    Generative AI & Prompt Engineering

    Build robust enterprise applications using Large Language Models (LLMs), structured prompt engineering, Retrieval-Augmented Generation (RAG), and vector databases.

    Duration
    To be announced
    Signature lab
    Custom RAG Pipeline with ChromaDB

    Key topics

    • Advanced prompt engineering (Few-shot, Chain-of-Thought, ReAct)
    • Retrieval-Augmented Generation (RAG) architecture
    • Vector embeddings, similarity search, and semantic indexing
    • Multi-agent frameworks, tool calling, and structured outputs
    Course enquiry Syllabus
  • Predictive Models

    Machine Learning & Deep Learning

    Rigorous mathematical and practical foundation in supervised/unsupervised machine learning, deep neural networks, CNNs, RNNs, and transformer models.

    Duration
    To be announced
    Signature lab
    PyTorch Neural Classifier

    Key topics

    • Linear/Logistic regression, Decision Trees, and Random Forests
    • Gradient descent optimization, backpropagation, and loss functions
    • Convolutional Neural Networks (CNNs) for image recognition
    • Self-attention mechanisms and Transformer architecture
    Course enquiry Syllabus
  • Analytics

    Data Analytics

    Transform high-volume raw records into business clarity. Advanced SQL querying, statistical hypothesis testing, Pandas transformations, and exploratory data profiling.

    Duration
    To be announced
    Signature lab
    Enterprise SQL & Pandas Pipeline

    Key topics

    • Complex SQL queries (Window functions, CTEs, Joins, Indexing)
    • Data wrangling, cleaning, and imputation with Python Pandas
    • Hypothesis testing, distributions, p-values, and correlation
    • Executive KPI metric definition and cohort analysis
    Course enquiry Syllabus
  • Visual Analytics

    Data Visualization & Business Intelligence

    Design intuitive, interactive decision dashboards using Power BI, Tableau, and modern web visualization libraries (Plotly/D3).

    Duration
    To be announced
    Signature lab
    Real-Time Executive Dashboard

    Key topics

    • Visual perception principles, chart selection & cognitive clarity
    • Power BI data modeling, DAX measures, and drill-throughs
    • Tableau interactive filters, parameters, and stories
    • Automated refresh schedules and enterprise reporting gates
    Course enquiry Syllabus
  • End-to-End

    Data Science

    The full lifecycle from hypothesis formulation and data gathering to feature engineering, model validation, and deployment into live microservices.

    Duration
    To be announced
    Signature lab
    End-to-End Prediction Service

    Key topics

    • Statistical modeling and feature engineering strategies
    • Cross-validation, hyperparameter tuning (Optuna, GridSearch)
    • Model serialization, FastAPI endpoint exposure & Dockerization
    • Data drift monitoring and continuous retraining triggers
    Course enquiry Syllabus
  • Automation

    AI Automation & Python

    Combine Python system scripting with intelligent APIs to automate repetitive business tasks, PDF document extraction, and web research bots.

    Duration
    To be announced
    Signature lab
    Autonomous Document Processing Bot

    Key topics

    • Automated web scraping and API interaction with Playwright & Requests
    • OCR and PDF semantic parsing with LangChain / LlamaIndex
    • Task scheduling with Celery, cron, and event hooks
    • Error handling, backoff strategies, and alert notifications
    Course enquiry Syllabus
  • Ethics & Safety

    Responsible AI & Governance

    Model interpretability, algorithmic bias detection, privacy protection (differential privacy), and compliance frameworks for AI systems.

    Duration
    To be announced
    Signature lab
    SHAP/LIME Explainability Audit

    Key topics

    • Model explainability methods (SHAP, LIME, Integrated Gradients)
    • Fairness metrics, disparate impact ratios, and bias mitigation
    • Data privacy regulations (GDPR, EU AI Act, synthetic data)
    • AI Red Teaming, prompt injection defense, and jailbreak guardrails
    Course enquiry Syllabus

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