CPD-accredited courses from £39 · Instant e-certificates · 2,700+ courses
CPD-accredited certificates 020 4618 6402 Team training
Home / Courses / Artificial Intelligence / Learn AI with Python
CPD course All Levels

Learn AI with Python

4 enrolled 6h 24m of learning Updated Nov 2026
CertificateOn completion
6h 24mSelf-paced
59 lessonsOn the UISC learning portal
All LevelsNo prior training needed

Course curriculum

1 modules 59 lessons 6h 24m total
01 Learn AI with Python 59 lessons
  1. Introduction to Predictive Analysis
  2. Random Forest and Extremely Random Forest
  3. Dealing with Class Imbalance
  4. Grid Search
  5. Adaboost Regressor
  6. Predicting Traffic Using Extremely Random Forest Regressor
  7. Traffic Prediction
  8. Detecting patterns with Unsupervised Learning
  9. Clustering
  10. Clustering Meanshift
  11. Clustering Meanshift Continues
  12. Affinity Propagation Model
  13. Affinity Propagation Model Continues
  14. Clustering Quality
  15. Program of Clustering Quality
  16. Gaussian Mixture Model
  17. Program of Gaussian Mixture Model
  18. Classification in Artificial Intelligence
  19. Processing Data
  20. Logistic Regression Classifier
  21. Logistic Regression Classifier Example Using Python
  22. Naive Bayes Classifier and its Examples
  23. Confusion Matrix
  24. Example os Confusion Matrix
  25. Support Vector Machines Classifier(SVM)
  26. SVM Classifier Examples
  27. Concept of Logic Programming
  28. Matching the Mathematical Expression
  29. Parsing Family Tree and its Example
  30. Analyzing Geography Logic Programming
  31. Puzzle Solver and its Example
  32. What is Heuristic Search
  33. Local Search Technique
  34. Constraint Satisfaction Problem
  35. Region Coloring Problem
  36. Building Maze
  37. Puzzle Solver
  38. Natural Language Processing
  39. Examine Text Using NLTK
  40. Raw Text Accessing (Tokenization)
  41. NLP Pipeline and Its Example
  42. Regular Expression with NLTK
  43. Stemming
  44. Lemmatization
  45. Segmentation
  46. Segmentation Example
  47. Segmentation Example Continues
  48. Information Extraction
  49. Tag Patterns
  50. Chunking
  51. Representation of Chunks
  52. Chinking
  53. Chunking wirh Regular Expression
  54. Named Entity Recognition
  55. Trees
  56. Context Free Grammar
  57. Recursive Descent Parsing
  58. Recursive Descent Parsing Continues
  59. Shift Reduce Parsing

About this course

Overview:

Welcome to "Learn AI with Python"! This course is your gateway to mastering Artificial Intelligence (AI) concepts and techniques using the Python programming language. With AI revolutionizing industries worldwide, this course empowers you to harness the power of Python to build intelligent systems and algorithms. From machine learning to deep learning and natural language processing, you'll explore a wide range of AI applications, equipping you with the skills to tackle real-world challenges and drive innovation.

  • Interactive video lectures by industry experts
  • Instant e-certificate
  • Fully online, interactive course with Professional voice-over
  • Developed by qualified first aid professionals
  • Self-paced learning and laptop, tablet, smartphone friendly
  • 24/7 Learning Assistance
  • Discounts on bulk purchases

Main Course Features:

  • Comprehensive coverage of AI fundamentals, algorithms, and libraries in Python
  • Hands-on projects and coding exercises to reinforce learning
  • Exploration of machine learning techniques, including supervised and unsupervised learning
  • Implementation of neural networks and deep learning models with TensorFlow and Keras
  • Introduction to natural language processing (NLP) for text analysis and sentiment analysis
  • Guidance on deploying AI models and integrating them into applications
  • Real-world case studies and examples to illustrate AI concepts in practice
  • Access to a supportive online community for collaboration and assistance

Who Should Take This Course:

  • Aspiring data scientists and AI enthusiasts looking to kickstart their career in AI
  • Python developers interested in expanding their skill set to include AI and machine learning
  • Students and professionals seeking to leverage AI for solving real-world problems

Learning Outcomes:

  • Master AI concepts and techniques using Python programming
  • Develop machine learning models for classification, regression, and clustering tasks
  • Build and train neural networks and deep learning models for various applications
  • Perform text analysis and sentiment analysis using natural language processing (NLP)
  • Deploy AI models and integrate them into web applications or other systems
  • Enhance problem-solving skills by applying AI algorithms to real-world datasets
  • Debug and optimize AI models for improved performance and accuracy
  • Stay updated with the latest advancements and trends in AI and machine learning.

Certification

Once you’ve successfully completed your course, you will immediately be sent a digital certificate. All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Assessment

At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.

Your certificate

CPD certificate — download it when you finish

Issued the moment you complete the final module. Every certificate lists the course aims and objectives, anticipated learning outcomes, the quality-assurance process — the elements required for verifiable CPD. Non-registrants can use it as CQC training evidence and for appraisals.

Aims & objectives Learning outcomes Unique certificate number

Common questions

Where do I take the course?

On the UISC learning portal. "Enrol now" takes you to this course there, where you pay securely, get your login and study at your own pace. Your certificate is issued there when you finish.

When can I start?

Immediately. Access opens the moment your order is confirmed and you can learn from any device, in any order, as many times as you like.

How is the course assessed?

A short multiple-choice or scenario-based assessment at the end of the course with instant results. You can retake it as many times as you need at no extra cost.

Can I enrol my whole team?

Yes. Organisations can buy multiple places on one invoice and receive a training record for every learner. Contact us for team pricing.

Keep learning

Related courses

More in Artificial Intelligence
£39.00 6h 24m · All Levels
Enrol now