Programme Content
Module 1: Supply Chain Analytics Requirements
Supply Chain problem solving
Decision trees – Concept and Use cases
Decision making under uncertainty
Introductory Predictive Analytics
Basics of Probability
Basics of Probability
Conditional Probability – Bayes Theorem
Prediction using Logistic Regression model
High dimensional Data and Data Dimensionality reduction
Prediction using Linear Regression model – Exploratory vis-à-vis Predictive modelling, Linear Regression, Multi-collinearity
Predictive Analytics
ANOVA and Hypothesis Testing – One-way ANOVA, Two-way ANOVA, F Test
Linear Programming and the Transportation problem
Inventory models – Lead Time and Safety stock determination
Module 2: AI for Businesses
Foundations: The artificial neuron, neural networks, training, gradient descent to deep nets, language and vision models, narrow, and general intelligence, generative AI
AI, strategy and business models: Digital business strategy, enterprise to eco systems, digital platforms, competition and smart connected products, business models in AI
Business value of AI: AI-business value mechanism, value creation, AI for business functions-Marketing, Operations, and HR; and business domains-Manufacturing, and Healthcare
Module 3: AI Essentials for Professionals
Foundations of AI – What is AI? History, Symbolic AI, Statistical AI, Rational Agents, Turing Test
Classical AI Techniques – Search Algorithms, Trees, Rule-Based Systems, Logic, Inference
Supervised Learning and Neural Networks – Regression, Classification, MLPs, NN Training, Overfitting, Regularization
Unsupervised Learning – K-Means, Hierarchical, DBSCAN, PCA, t-SNE
CNNs and RNNs – Vision Modeling, CNN Architectures, Sequence Modeling, LSTMs
Large Language Models (LLMs) – Attention, Transformer Architecture, LLM Training
Deployment and Ethics – MLOps, Deployment Techniques in LLMs, Hallucination, Bias, Explainability
Module 4: Prompt Engineering (Live Online Classes)
Introduction to Transformers
Introduction to LLM
Intro to GPT architecture
Introduction to Prompts
Relevant tools
Discussing SCM
Case Study(ies) on SCM
Collection and review of SCM (maybe virtual)
Prompt Engineering
Working session on Prompt Engineering
Project on Prompt Engineering
Module 5: Insights from CXOs
5 hours of insights on Supply Chain Management by CXOs of reputed organisations
