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Python and AI: From Programming Basics to Intelligent Applications

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Python and AI: From Programming Basics to Intelligent Applications

Begin your AI journey with Python for AI, a compact and hands-on course tailored to take complete beginners through the fundamentals of Python programming and AI model building within just 6 weeks. This course is designed for today's fast-moving tech landscape, focusing on practical Python coding skills combined with foundational AI, machine learning, and deep learning concepts. Learn to manipulate and visualize data, build machine learning models, develop neural networks using Keras, and deploy simple AI applications—all using free and open-source tools. Whether you aspire to become an AI developer or want to apply programming skills in AI-powered projects, this course lays a strong foundation with a project-oriented approach.

Trainer :

LiveOnline Classstarts on:

Upto First 3 session - 100% Refund

1. Introduction to Python

Topics:

Python syntax
data types
operators
Functions and modules
Basic file handling

Hands-on:

Python scripting exercises

Skills You Will Learn:

Basic programming
logical thinking

2. Data Structures and Manipulation

Topics:

Lists tuples
dictionaries
Classes and objects. NumPy arrays and Pandas dataframes for data handling

Hands-on:

Data processing and analysis tasks

Skills You Will Learn:

Data manipulation
preparation for AI workloads

3. Data Visualization

Topics:

Plotting with Matplotlib
Statistical visualizations with Seaborn
Ethics & Misuse in Visualization

Hands-on:

Create exploratory visualizations on datasets

Skills You Will Learn:

Visual communication of data insights

4. AI & Machine Learning Core

Topics:

Mathematics for AI
Machine Learning (ML)
Deep Learning (DL)
Natural Language Processing (NLP)

Hands-on:

Build and evaluate simple ML models

Skills You Will Learn:

ML model building and validation

5. Basics of Deep Learning

Topics:

Neural networks fundamentals
Build/train models using TensorFlow/Keras

Hands-on:

Train a digit recognition model (MNIST)

Skills You Will Learn:

Deep learning
neural network coding

6. AI Project Development and Deployment

Topics:

Mini-project design and workflow
Deploy models using Streamlit web applications
Version control basics with GitHub

Hands-on:

Build and deploy a simple AI-powered app

Skills You Will Learn:

AI application deployment
portfolio project creation

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Why Choose Python and AI: From Programming Basics to Intelligent Applications?

Why enroll for Python and AI: From Programming Basics to Intelligent Applications Certification?

Unlock your potential in cloud computing with Python and AI: From Programming Basics to Intelligent Applications certification

Most Popular Certification

Python and AI: From Programming Basics to Intelligent Applications certification is rated as one of the most popular and lucrative cloud certifications in IT globally.

Growing Market

The global Python and AI: From Programming Basics to Intelligent Applications market size is expected to grow at a CAGR of 21.2% from 2024 to 2030.

High Salary Potential

The estimated total pay for an Python and AI: From Programming Basics to Intelligent Applications is ₹7,09,000 per year, with an average salary of ₹6,09,000 per year - Glassdoor.

"Python syntax and data types"

"Control flow and functions"

"Error handling and debugging"

"Python data structures"

"NumPy array operations"

"Pandas data manipulation"

"Data visualization with Matplotlib and Seaborn"

"Exploratory Data Analysis project"

"Machine learning introduction and workflow"

"Supervised learning: linear and logistic regression"

"Model evaluation and cross-validation"

"Deep learning basics and neural networks"

"Building models with Keras"

"Model tuning and optimization"

"AI project planning"

"Model deployment with Streamlit"

"Project presentation and wrap-up"

Curriculum Designed by Experts

1. Introduction to Python

Topics:

Python syntax
data types
operators
Functions and modules
Basic file handling

Hands-on:

Python scripting exercises

Skills You Will Learn:

Basic programming
logical thinking

2. Data Structures and Manipulation

3. Data Visualization

4. AI & Machine Learning Core

5. Basics of Deep Learning

6. AI Project Development and Deployment

Free Career Counselling

We are happy to help you 24/7

1. Introduction to Python

Topics:

Python syntax
data types
operators
Functions and modules
Basic file handling

Hands-on:

Python scripting exercises

Skills You Will Learn:

Basic programming
logical thinking

2. Data Structures and Manipulation

Topics:

Lists tuples
dictionaries
Classes and objects. NumPy arrays and Pandas dataframes for data handling

Hands-on:

Data processing and analysis tasks

Skills You Will Learn:

Data manipulation
preparation for AI workloads

3. Data Visualization

Topics:

Plotting with Matplotlib
Statistical visualizations with Seaborn
Ethics & Misuse in Visualization

Hands-on:

Create exploratory visualizations on datasets

Skills You Will Learn:

Visual communication of data insights

4. AI & Machine Learning Core

Topics:

Mathematics for AI
Machine Learning (ML)
Deep Learning (DL)
Natural Language Processing (NLP)

Hands-on:

Build and evaluate simple ML models

Skills You Will Learn:

ML model building and validation

5. Basics of Deep Learning

Topics:

Neural networks fundamentals
Build/train models using TensorFlow/Keras

Hands-on:

Train a digit recognition model (MNIST)

Skills You Will Learn:

Deep learning
neural network coding

6. AI Project Development and Deployment

Topics:

Mini-project design and workflow
Deploy models using Streamlit web applications
Version control basics with GitHub

Hands-on:

Build and deploy a simple AI-powered app

Skills You Will Learn:

AI application deployment
portfolio project creation

Career Opportunities

Job roles are being prepared for this course. Please check back later.

Why Choose The Skills Lab

Discover the unique advantages that make our learning platform stand out

24x7 Support

One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time

Hands-On Project Based Learning

Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments

Industry Recognised Certification

Learnees Training Certificate
Graded Performance Certificate
Certificate of Completion

Course Overview

Everything you need to know about Python and AI: From Programming Basics to Intelligent Applications

Write and debug Python code essential for AI programming Use Python libraries (NumPy, Pandas) for data handling and Matplotlib/Seaborn for visualization Understand and implement basic machine learning algorithms using Scikit-learn Build simple neural networks with TensorFlow/Keras Deploy AI models as interactive applications Develop and present a mini AI project demonstrating end-to-end workflow