Artificial Intelligence and Applied Gen AI Certification in Kuwait

Python syntax, variables, data types

Conditional statements and loops

Functions and lambda functions

Lists, tuples, dictionaries, sets

Practice: Automate report filtering

Jupyter/Colab usage

NumPy arrays, indexing, reshaping

Vectorized operations

Use Case: Matrix operations for logistics

Load, clean, and merge data

Handling missing values

Filtering, slicing, groupby operations

Project: Merge Excel reports across departments

Mean, median, variance, std deviation

Skewness and kurtosis

Probability rules and distributions (normal, binomial)

Domain examples: Retail and HR

Central Limit Theorem

Confidence intervals

t-tests, chi-square, ANOVA

Correlation vs causation

Use Case: A/B testing for ecommerce

Histograms, barplots, boxplots

Heatmaps and correlation plots

Seaborn styling

Mini Project: Visualize retail sales

Feature engineering: scaling, encoding

Binning, outlier treatment

Practice: EDA on sales/finance dataset

Supervised vs unsupervised ML

ML workflow: split, train, evaluate

Metrics: accuracy, precision, recall, F1, ROC

Use Case: HR attrition model

Salary prediction using linear regression

Attrition classification with logistic regression

Confusion matrix, coefficients, ROC-AUC

Decision tree construction

Random forest ensemble

K-Nearest Neighbors (KNN)

GridSearchCV tuning

Use Case: Loan eligibility prediction

K-means clustering

Hierarchical clustering

PCA for feature reduction

Use Case: Customer segmentation

Connect CSV, Excel, and Python outputs

Power Query transformations

Visuals: cards, charts, slicers

Case: HR Dashboard (attrition analysis)

Data modeling

DAX calculated columns and measures

Multi-page dashboards

Case: Finance dashboard with forecasting

Export ML results to Power BI

Import predictions

Build ML-powered dashboards

Use Case: Telecom churn dashboard

Why deep learning?

ANN structure, activation functions

Feedforward and backpropagation

Build ANN using Keras

TensorFlow 2.x and Keras API

Loss functions and optimizers

Overfitting and underfitting

Train a churn model on tabular data

NLP use cases: chatbots, sentiment, classification

Preprocessing: tokenization, stop words, lemmatization

Vectorization: Bag of Words, TF-IDF

Hands-on: Sentiment analysis

Logistic regression and Naive Bayes

Word embeddings introduction

Build: spam or feedback classifier

CNN layers: filters, pooling, convolution

Applications: image classification, document scan

Hands-on: Use pre-built CNN (transfer learning)

Save/load models (Pickle, Joblib, TF)

Create Flask/FastAPI REST APIs

Deploy a model (e.g., churn or sentiment)

Agent, environment, state, action, reward

Exploration vs exploitation

Q-learning (tabular)

Hands-on: Grid-world agent simulation

Self-attention and multi-head attention

BERT vs GPT

Positional encoding

Hands-on: Text generation with transformer

Generator vs Discriminator

DCGAN, CycleGAN, StyleGAN

Hands-on: Synthetic image generation

Denoising Diffusion Probabilistic Models (DDPM)

Diffusion vs GANs

Tools: Stable Diffusion, DALL·E

Hands-on: Generate text-to-image outputs

GPT, Claude, Falcon, Mistral overview

Prompt engineering

Fine-tuning domain-specific LLMs

Hands-on: Legal/Medical chatbot

LangChain architecture

Vector databases (FAISS, Pinecone)

Build RAG pipeline

Hands-on: Doc-aware Q&A chatbot

Vision-Language Models: GPT-4V, CLIP, BLIP

Text-to-image/video/audio generation

Hands-on: Generate media from prompts

Content generation pipelines

Brand asset generation

Tools: Sora, Runway, DALL·E

Deep Q-Networks (DQN)

Policy Gradients

PPO (Proximal Policy Optimization)

Hands-on: Train an autonomous agent

Multi-agent collaboration

LangChain dynamic decision agents

Build a simple autonomous assistant

Task decomposition & planning

Reflex vs learning agents

CrewAI orchestration

Hands-on: Multi-agent research + writing task

LangChain tools: Google Search, Wolfram, Zapier

Agent memory: vector, long-term, summary

Context retention strategies

Hands-on: Web-aware document chatbot

OpenAI, Claude function calling

ReAct prompting strategy

Toolformer concept

Hands-on: Reasoning assistant with tools & APIs

Orchestrating prompt → tools → output

Guardrails, observability

Evaluation metrics: latency, task completion

Hands-on: AI assistant to summarize meetings, update CRM, draft reports

Ethics, safety, bias, hallucinations

Gradio, Streamlit, Hugging Face Spaces

Hands-on: Host your GenAI app publicly

Data ingestion and cleaning with Pandas

Statistical summary and EDA

Visual story using Matplotlib/Seaborn

ML models: Linear/Logistic/Tree/KNN

Dashboard in Power BI integrating Python model outputs

Sales performance predictor

HR attrition analyzer

Data preprocessing + supervised ML model

LLM-based Q&A or text generation module

Image/audio generation (optional enhancement)

LangChain-based agentic workflow

Deployment via Flask + Gradio/Streamlit

Evaluation report: accuracy, latency, ethical handling

AI Assistant for HR Analytics

Legal or Medical Document Analyzer

Brand Content Generator for Marketing

Autonomous CRM Update & Reporting Agent