AI-PYTHON.AW1

Learn AI with Python

This Python AI course is an introduction to artificial intelligence (AI), an encouragement to build a smart environment, and a route to hands-on experience.

11 Interactive Lessons and 80 topics mapped to the official exam objectives

Intermediate Self-paced · 1 year access

11Interactive Lessons

80Topics

01 / Skills you'll get

What you will be able to do

Try Free → No credit card required

Enroll in our Python AI course and build intelligent applications that interact with the world around you.

In this course, dive into AI programming with Python, from setting up your AI environment to implementing neural networks, NLP, and speech recognition. Master machine learning (ML) algorithms for classification, regression, and clustering. Then apply them to real-world problems.

Learn to construct AI agents, automate tasks with logic programming, and even build object recognition models using Convolutional Neural Networks (CNNs).

Build & Deploy AI Models: Create machine learning and deep learning applications using Python.
ML Algorithms: Implement classification, regression, and clustering for real-world problem-solving.
Neural Networks Development: Design and train ANNs (Artificial Neural Networks) and CNNs for image recognition.
NLP Automation: Process and analyze text using Natural Language Processing (NLTK) techniques like tokenization and sentiment analysis.
Speech Recognition: Build AI systems that understand and respond to spoken language.
Reinforcement Learning: Develop intelligent agents that learn from environments using Python.
AI Solutions Optimization: Fine-tune models with performance metrics, regularization, and advanced architectures like YOLO and R-CNN.

Course Highlights

11 Structured Lessons Comprehensive coverage of core course objectives
1 Year Full Access Self-paced learning accessible anytime on all devices

02 / Lessons & labs

See exactly what you will learn and practice

Download outline (PDF)

Lessons

11 Interactive Lessons · 80 topics

01 Preface

02 Introduction to AI and Python 12 topics

Introduction
Introduction to Artificial Intelligence (AI)
Why to learn AI?
Understanding intelligence
Various fields of study in AI
Applications of AI in various industries
How does artificial intelligence learn?
AI agents and environments
AI and Python – how do they relate?
Python3 - installation and setup
Conclusion
Questions

03 Machine Learning and Its Algorithms 7 topics

Introduction
Understanding Machine Learning (ML)
The Landscape of Machine Learning Algorithms
Components of a Machine Learning algorithm
Different learning styles in machine learning algorithms
Popular machine learning algorithms
Questions

04 Classification and Regression Using Supervised Learning 10 topics

Introduction
Classification
Various steps to build a classifier using Python
Lazy learning versus eager learning
Performance metrics for classification
Regression
Various steps to build a regressor using Python
Performance metrics for regression
Conclusion
Questions

05 Clustering Using Unsupervised Learning 6 topics

Introduction
Clustering
Various methods to form clusters
Important ML clustering algorithms
Conclusion
Questions

06 Solving Problems with Logic Programming 7 topics

Introduction
Logic programming
Building blocks of logic programming
Useful Python packages for logic programming
Implementation examples
Conclusion
Questions

07 Natural Language Processing with Python 10 topics

Introduction
Natural Language Processing (NLP)
Installing Python's NLTK Package
Understanding tokenization, stemming, and lemmatization
Understanding chunking
Understanding Bag-of-Words (BoW) model
Understanding stop words
Understanding vectorization and transformers
Some examples
Conclusion

08 Implementing Speech Recognition with Python 5 topics

Introduction
Basics of speech recognition
Building a speech recognizer
Conclusion
Questions

09 Implementing Artificial Neural Network (ANN) with Python 8 topics

Introduction
Understanding of Artificial Neural Network (ANN)
Optimizers for training the neural network
Regularization
Installing useful Python package for ANN
Examples of building some neural networks
Conclusion
Questions

10 Implementing Reinforcement Learning with Python 7 topics

Understanding reinforcement learning
Markov Decision Process (MDP)
Building blocks of reinforcement learning
Constructing an environment using Python
Constructing an agent using Python
Conclusion
Questions

11 Implementing Deep Learning and Convolutional Neural Network 8 topics

Introduction
Understanding Deep Learning
Elucidation of Convolutional Neural Networks
The Architecture of Convolutional Neural Network
Localization and object recognition with deep learning
Image classification using CNN in Python
Conclusion
Questions

03 / FAQs

Questions before you start

What’s the difference between AI, ML, and Deep Learning?

AI mimics human intelligence (e.g., chatbots).
ML (a subset of AI) uses algorithms to learn from data (e.g., spam filters).
Deep Learning (a subset of ML) uses neural networks for complex tasks (e.g., image recognition). Python libraries like TensorFlow simplify the implementation.

Can I learn AI in 3 months?

Yes, but with realistic expectations. A structured 3-month Python AI course (10–20 hours/week) can help you grasp foundational AI concepts, Python programming, and basic machine learning (ML) algorithms.

However, mastering advanced topics like deep learning or NLP typically requires longer practice.

Can I learn AI with Python?

Absolutely. Python is the top language for AI due to its simplicity and rich libraries (e.g., TensorFlow, PyTorch, scikit-learn). Most of our courses, such as Learn AI with Python or Building Machine Learning Systems using Python, use Python for hands-on projects in ML, neural networks, and NLP.

Do I need prior programming experience for this Python AI course?

No. This AI coding in Python course requires no prior knowledge as it teaches Python basics alongside AI concepts.

What jobs can I get after learning AI with Python?

Roles include AI Developer ($130K avg salary), ML Engineer, Data Scientist, or NLP Specialist. Projects like building image classifiers or chatbots boost employability.

Future-Proof Your Skills

The only Python AI course that won’t put you to sleep (promise).

1 year of full access
Certificate of completion

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