Programming for AI with Python

Course Dates :

17/11/25

21/11/25

Course ID:

251117001001329ESH

Course Duration :

5 Studying Day/s

Course Location:

London

UK

Course Fees GBP:

£5,151.66

  • Vat Not Included in the price. * VAT may vary depending on the country where the course or workshop is held.

Course Category:

Professional and CPD Training Programs

Artificial intelligence

Course Certified By:

* ESHub CPD

* Professional Training and CPD Programs

Leading to:
Executive Diploma Certificate
Leading to:
Executive Mini Masters Certificate
Leading to
Executive Masters Certificate

Certification Will Be Issued From :


United Kingdom

Secure Your Place

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

Course Information

Introduction

Python has emerged as one of the most popular programming languages for Artificial Intelligence (AI) due to its simplicity, flexibility, and extensive library support. This course, "Programming for AI with Python," is designed to provide participants with a comprehensive understanding of how Python can be leveraged to develop intelligent systems and solve real-world problems. The course bridges the gap between theoretical knowledge and practical applications, ensuring participants gain both foundational and advanced insights into programming for AI.

Participants will explore the key concepts of AI, machine learning, and deep learning while mastering Python’s essential tools and frameworks, including NumPy, pandas, TensorFlow, Keras, and scikit-learn. The course emphasizes hands-on experience, empowering learners to implement AI solutions through guided coding exercises, project-based learning, and case studies.

The curriculum also highlights the importance of structuring AI projects effectively, starting with problem definition, data preparation, model building, and evaluation. Through step-by-step instruction, participants will build skills in designing robust machine learning pipelines and deploying AI solutions to production environments.

A significant aspect of the course is dedicated to exploring ethical considerations, ensuring that AI systems are developed responsibly. Participants will learn how to address challenges such as bias in AI models, data privacy, and transparency in decision-making. By combining technical expertise with ethical awareness, learners will be equipped to create AI solutions that align with industry standards and societal expectations.

Whether participants are new to AI programming or have some experience in Python, the course ensures a progressive learning journey. With practical assignments, group discussions, and expert guidance, learners will develop the confidence to tackle complex AI programming tasks independently.

The course's dynamic approach aims to cater to diverse professional needs, making it an essential program for anyone seeking to excel in AI programming and stay ahead in the rapidly evolving technological landscape.

Objectives

By attending this course, participants will be able to:

Understand the fundamentals of Python programming and its relevance to AI development.
Explore the core concepts of AI, machine learning, and deep learning and their practical applications.
Utilize Python libraries such as NumPy, pandas, scikit-learn, TensorFlow, and Keras to build AI models.
Develop skills in data preprocessing, feature engineering, and data visualization for AI projects.
Build and evaluate machine learning pipelines for classification, regression, clustering, and deep learning tasks.
Gain insights into deploying AI models in production environments using best practices.
Address ethical considerations in AI programming, including fairness, transparency, and accountability.
Work on real-world projects to reinforce learning and apply knowledge to industry-relevant scenarios.

Who Should Attend?

This course is ideal for:

Professionals aspiring to build a career in Artificial Intelligence and Machine Learning.
Data scientists, software developers, and IT professionals seeking to enhance their AI programming skills.
Individuals with basic programming knowledge looking to transition into the field of AI.
Business analysts and project managers involved in AI-driven projects.
Researchers and academics interested in applying AI techniques using Python.
Students and graduates eager to gain practical AI programming experience to boost their career prospects.

Training Method

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
• Post-assessment

Program Support

This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.

Daily Agenda

The course agenda will be as follows:
• Technical Session 08.30-10.00 am
• Coffee Break 10.00-10.15 am
• Technical Session 10.15-12.15 noon
• Coffee Break 12.15-12.45 pm
• Technical Session 12.45-02.30 pm
• Course Ends 02.30 pm

Secure Your Place

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

Course Outlines

Week 1
Day 1:
Introduction to Python for AI

Overview of Python programming and its relevance in AI.
Setting up the Python environment and essential tools.
Introduction to Python libraries: NumPy, pandas, and Matplotlib.
Writing Python scripts and understanding key programming concepts.

Day 2:
Fundamentals of Artificial Intelligence and Machine Learning

Understanding the basics of AI, machine learning, and deep learning.
Exploring supervised, unsupervised, and reinforcement learning techniques.
Introduction to data preprocessing and feature engineering.
Implementing basic machine learning models using scikit-learn.

Day 3:
Advanced AI Techniques with Python

Building deep learning models with TensorFlow and Keras.
Training and evaluating neural networks for classification and regression tasks.
Exploring natural language processing (NLP) and computer vision techniques.
Introduction to transfer learning and pre-trained models.

Day 4:
AI Model Deployment and Best Practices

Preparing AI models for deployment in production environments.
Using Flask and Django for deploying AI applications.
Monitoring and maintaining AI systems post-deployment.
Addressing challenges in scalability, latency, and real-time AI solutions.

Day 5:
Ethics, Real-World Applications, and Capstone Project

Exploring ethical considerations in AI programming and development.
Case studies of AI applications in various industries.
Hands-on capstone project: Building an end-to-end AI solution.
Final review, feedback, and Q&A session with the instructor.

Secure Your Place

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

Share by: