Artificial Intelligence and Machine Learning

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Course Duration3 months
Learning FormatFlexible Learning
Course Fee£ 125 GBP

Course Overview

Unlock the power of Artificial Intelligence and Machine Learning with this hands-on, practical course designed for the next generation of data professionals, developers, and business innovators. Learn the fundamentals of AI and ML, from supervised and unsupervised learning to neural networks and model evaluation—all while building real-world projects in Python using tools like Scikit-learn, Pandas, and Tensor Flow. This beginner-friendly course balances technical skills with applied problem-solving, preparing you for entry-level roles in data science, analytics, and AI-driven decision-making. No advanced maths or programming experience required to get started.

Course Curriculum

5 lessons 48 hours

Module 1: Introduction to Artificial Intelligence

6 Hours

Overview of AI, its history, key concepts, and real-world applications.

Module 2: Fundamentals of Machine Learning

6 Hours

Basic ML concepts, supervised vs. unsupervised learning, and key algorithms.

Module 3: Data Preparation and Preprocessing

6 Hours

Collecting, cleaning, and transforming data for AI/ML models.

Module 4: Supervised Learning Algorithms

6 Hours

Classification and regression algorithms (e.g., Decision Trees, k-NN, SVM).

Module 5: Unsupervised Learning and Clustering

6 Hours

Clustering techniques like k-means and hierarchical clustering.

Module 6: M Model Evaluation and Validation

6 Hours

Metrics, overfitting, underfitting, and cross-validation techniques.

Module 7: Neural Networks and Deep Learning Basics

6 Hours

Introduction to neural networks, deep learning, and frameworks like TensorFlow/Keras.

Module 8: AI/ML Applications and Ethical Considerations

8 Hours

Real-world use cases, deployment basics, and ethical considerations.

Skills Covered

• AI/ML Fundamentals and Development Workflow
• Python Programming for Machine Learning
• Data Cleaning and Pre-processing
• Model Building: Regression, Classification, Clustering
• Neural Networks and Deep Learning Foundations
• Model Evaluation and Hyperparameter Tuning
• Ethical AI & Real-world Application Strategies

Why join this program?

• Beginner-friendly: Start with zero or minimal coding experience.
• Learn practical ML applications for real business problems.
• Build your own portfolio project with Python and open-source tools.
• Get step-by-step coding guidance using Jupyter Notebooks.
• No advanced maths required—just curiosity and motivation.

Course Objectives/key Features

• Live sessions plus recorded coding labs and walkthroughs.
• Use real datasets for hands-on project work.
• Access to Python, Scikit-learn, Pandas, and TensorFlow.
• Certificate issued by London Technology College.
• Project mentorship and end-to-end support.

Learning Outcomes

By the end of this course, learners will be able to:

• Understand the key principles of AI and machine learning.
• Preprocess real-world data for AI models.
• Build, train, and evaluate models using Python.
• Apply supervised and unsupervised learning techniques.
• Develop a complete ML project from data collection to deployment.
• Make ethical and practical decisions using AI responsibly.

Why Choose London Technology College?

• Open to All – Whether you're brand new or brushing up your skills, our courses are designed to meet you where you are.
• Practical Approach – Learn by doing, with hands-on exercises that reflect real-world office tasks.
• Experienced Tutors – Our instructors bring real industry know-how and a passion for teaching.
• Certificate of Completion – Add an accredited certificate to your CV or LinkedIn profile to boost your job prospects.
• Flexible Learning Options – Study at your own pace, from anywhere in the world. Ideal for working professionals and international students seeking flexibility without compromising quality.
• Job-Ready Skills – Get trained in tools and techniques that employers actually look for.
• Support That Stays With You – Need help? Our team is here from start to finish—no question is too small.
• Learn at Your Own Pace – Take your time or move quickly—the course is designed to adapt to your needs.
• Hands-On Projects – Put your skills into action with tasks like reports, spreadsheets, resumes, and more

Certificate of Completion

Upon successful completion, you will receive an industry-recognised certificate from London Technology College. Showcase your final project, demonstrate your understanding of modern AI practices, and enhance your CV with a globally relevant credential.

Earn Your Certificate in Artificial Intelligence and Machine Learning:

• A certificate recognised in UK and global tech industries.
• Confidence in coding and applying ML to practical scenarios.
• Showcase-ready portfolio project in AI/ML
• Readiness for roles such as Data Analyst, AI Assistant, or ML Trainee.