Description
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 and hard copy dispatch by next working day
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. Also, you can have your printed certificate delivered by post (shipping cost £3.99). 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.
Curriculum
Section 01: Introduction
Section 02: Class Imbalance and Grid Search
Section 03: Adaboost Regressor
Section 04: Detecting patterns with Unsupervised Learning
Section 05: Affinity Propagation Model
Section 06: Clustering Quality
Section 07: Gaussian Mixture Model
Section 08: Classifiers
Section 09: Logic Programming
Section 10: Heuristic Search
Section 11: Natural Language Processing
