Python Course

Our AI course offers comprehensive training in artificial intelligence, covering key concepts like machine learning, neural networks, and data analysis.

Duration

3 Month

Time

1.5 Hrs / Session

Level

Basic - Advance

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Syllabus

Week-1: Python Fundamentals for AI

Installing Python, VS Code and the environment setup.
Variables, Data Types and Basic Operations
Strings, input/output handling
Writing simple Python programs
Introduction to problem-solving
How Python is used in AI
Task: Create a basic Calculator & Greeting Program

Week-2 : Control Flow & Logic Building

Booleans and comparison operators
Conditional statements (if, elif, else)
Loops (for, while)
Writing logic-based programs
Debugging techniques
Mini problem-solving exercises
Assignment: Number Guessing Game with logic

Week-3: Data Structures for AI

Lists and list operations
Dictionaries and key-value data
Tuples and sets basics
Looping through data structures
Storing and processing structured data
Task: Create a Phonebook (Storing and Searching Data)

Week-4: Functions, Modules & File Handling

Functions (def, parameters, return)
Code modularity and reuse
Working with files (read/write)
Error handling (try/except)
Using built-in modules
Assignment: Building a to-do app using file storage

Week-5: NumPy for Numerical Computing

Introduction to NumPy
Arrays and operations
Indexing and slicing
Mathematical computations
Performance vs Python lists
Instruction: Analysis of sample dataset along with numbers

Week-6: Pandas for Data Analysis

Introduction to Pandas
DataFrames and Series
Loading CSV/Excel files
Data exploration and filtering
Basic data analysis
Assignment: Analyze student dataset and generate insights

Week-7: Data Cleaning & Preprocessing

Handling missing values
Data cleaning techniques
Feature engineering basics
Data transformation
Preparing datasets for ML
Assignment: Cleaning up and preparing a real-world dataset

Week-8: Data Visualization (EDA)

Introduction to Matplotlib
Using Seaborn for visualization
Graphical representation (bar, line, scatter, heatmap)
Exploratory Data Analysis (EDA)
Finding patterns in data
Assignment: Create full EDA report with charts

Week-9: Machine Learning Fundamentals

What is Machine Learning
Types: Supervised vs Unsupervised
Train-test split
Feature scaling
ML workflow and pipeline basics
Task: Create a simple machine learning pipeline (Iris dataset)

Week-10: Machine Learning Algorithms

Linear Regression
Logistic Regression
Decision Trees
K-Nearest Neighbors (KNN)
Model training and prediction
Task 4: Create a prediction model (Titanic dataset)

Week-11: Model Evaluation & Improvement

Accuracy and evaluation metrics
Confusion matrix
Precision, recall, F1-score
Overfitting vs underfitting
Model improvement techniques
Assignment: Compare multiple ML models

Week-12: AI Project & Deployment

Introduction to model deployment
Building API using Flask/FastAPI
Creating UI with Streamlit
Model integration
Project structuring and presentation
Assignment: End-to-End ML Project Deployment (API + Streamlit App)

FAQs

Which is the best Artificial Intelligence Course?

The best artificial intelligence course is one that provides a good balance of theory, practice, and projects, an AI course that includes Python, machine learning, AI deployment, and even ethics.

What is the Artificial Intelligence course?

An artificial intelligence course covers machine learning, deep learning, human language processing, computer vision, and predictive analytics with the aid of hands-on lessons and projects.

Who is eligible for AI courses?

Our artificial intelligence courses in Nepal are tailored for beginners and are ideal for students, professionals, and those looking to change careers.

What are the artificial intelligence course fees in Nepal?

Similar to other courses, the fees for AI courses in Nepal are around NPR 18,000 to NPR 40,000. The fees depend on the length of the course, how the course is delivered, and the level of detail provided in the content.

Do you provide certification after course completion?

All learners are able to receive a course completion certificate and hence, are able to leverage their AI skills to seek employment or more advanced roles.

Are online classes available for this course?

Yes. In addition to the in-person classes in Kathmandu, we offer comprehensive online course materials, including live classes and mentorship.

What is the duration of the AI course?

A typical course lasts for about 3 months after which an intership period starts.

Does the course offer placement support?

Definitely. Let’s Learn offers placement support with the artificial intelligence courses so that learners are able to move into employment, freelance, or internship positions quickly after the course concludes.

What You’ll Learn

Fundamentals of Artificial Intelligence: Concepts, History, and Applications
Basics of Python Programming for AI Development
Introduction to Machine Learning and its Different Types
Data Preprocessing: Cleaning, Transforming, and Visualizing Data
Building Machine Learning Models Using Popular Libraries like Scikit-learn
Basics of Neural Networks and Deep Learning with TensorFlow
AI Project Workflow: From Problem Statement to Model Deployment
Ethics and Future Trends in AI
Portfolio Building and Career Guidance in AI

Benefits of the Artificial Intelligence Course offered at LetsLearn

Practical and theoretical Learning for AI tools and Tensor flow exposes our students to hands-on practical work.
All lectures are adjoined with a full placement for internship opportunities, freelance work, and even job openings for associated positions.
Admissions for interface training and classroom lectures have now been opened for the online option too.
Develop a polished project portfolio and improve your technical resume.
Course fees for artificial intelligence are transparent and affordable, especially for students from Nepal.
No need for any prior coding experience. The course is ideal for beginners and those from non-tech backgrounds.
Personalized instruction, career guidance, and certification are available during and after the course.

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