Digital Pathshala · AI Udaan
AI Learning Guides
Short, practical guides on Python, data, and machine learning — mapped to the real AI Udaan bootcamp syllabus. Read free, then enroll for mentor-led classes, projects, and certificate.
Enroll in AI Udaan- Week 1–2
Python for AI & Machine Learning in Nepal
Every serious AI and machine learning path in Nepal starts with Python. In Digital Pathshala’s AI Udaan bootcamp, Python is not taught as an isolated language course — it is the tool you use to load data, train models, and build AI applications from week one.
Read guide - Week 1 — Day 2–3
Python Variables & Datatypes for AI Beginners
Variables store the data your AI programs work with — from a student’s exam score to thousands of rows in a dataset. In AI Udaan, you learn Python datatypes before touching machine learning so you can read and write real data code confidently.
Read guide - Week 1 — Day 4
Python Loops & Conditional Statements for Data & AI
Loops and conditionals let your code make decisions and repeat work — filter rows, iterate over datasets, and apply rules during data cleaning. These are everyday tools in AI engineering, not just beginner syntax.
Read guide - Week 2 — Day 5
Python Functions for Reusable AI Code
Functions keep AI code organized. Instead of repeating the same data-cleaning steps, you wrap them once and call them from training scripts, notebooks, and FastAPI endpoints in later modules of AI Udaan.
Read guide - Week 2–4
Pandas for Data Analysis & AI in Nepal
Pandas is the workhorse of data AI in Python. AI Udaan dedicates multiple weeks to reading files, filtering rows, handling missing values, outliers, and grouping data — every step that happens before a model sees your dataset.
Read guide - Week 5–6
NumPy for Machine Learning & AI
NumPy provides fast numerical arrays that power scikit-learn, TensorFlow, and most Python ML code. AI Udaan teaches NumPy properties, vectorization, broadcasting, reshaping, and matrix operations before your first regression model.
Read guide - Week 4–5
Data Visualization with Matplotlib for AI Projects
Before training a model, you need to see your data. AI Udaan teaches Matplotlib line charts, bar charts, pie charts, histograms, scatter plots, and box plots — tied to outlier detection and feature understanding.
Read guide - Week 6–9
Machine Learning Basics for Beginners in Nepal
Machine learning means teaching computers patterns from data — without hard-coding every rule. AI Udaan introduces ML types (supervised, unsupervised), scikit-learn, regression, classification, and real-world workflow over several weeks with assignments.
Read guide - Week 7–8, 10
Linear Regression Explained for AI Students
Linear regression predicts numeric outcomes — sales, scores, prices. AI Udaan builds simple and multiple regression models, explains the math behind the scenes, introduces polynomial regression, and teaches error checking and quality evaluation.
Read guide - Week 8–12
Classification in Machine Learning — Spam to Multi-Class
Classification assigns categories — spam vs not spam, disease yes/no, product type A/B/C. AI Udaan covers binary and multi-class classification, mathematics of loss and gradients, logistic regression, KNN, decision trees, and accuracy basics.
Read guide - Week 12
Clustering & Model Evaluation for ML
Not all ML is prediction. Clustering groups similar data without labels. Evaluation metrics tell you if a model is actually good. AI Udaan Week 12 combines K-Means, unsupervised learning concepts, and metrics like accuracy, precision, and recall.
Read guide - Week 13
Neural Networks Basics for AI Developers
Neural networks stack layers of artificial neurons to learn complex patterns — image edges, text sentiment, speech. AI Udaan Week 13 covers neurons, perceptrons, activation functions, forward propagation, and backpropagation before TensorFlow practice.
Read guide - Week 14
Deep Learning with TensorFlow & Keras
Deep learning scales neural networks to image, text, and audio tasks. AI Udaan Week 14 teaches TensorFlow basics, Keras model building, training epochs, accuracy tuning, and improvement techniques — with paths toward computer vision and NLP applications.
Read guide - Week 15
Deploy AI Models with FastAPI
Training a model in a notebook is step one. Production AI exposes models through APIs. AI Udaan Week 15 covers model saving/loading, FastAPI basics, creating AI APIs, deployment introduction, portfolio building, and interview preparation.
Read guide
Ready for the full program?
AI Udaan is a 16-week Python with AI/ML bootcamp — 91 lessons, live mentors, and job-focused projects.