Artificial Intelligence & Machine Learning Course Overview
Artificial Intelligence is technology’s latest advancement which has exploded over the past few months following the introduction of AI tools such as ChatGPT, Google’s AI Chatbot Bard, etc. The Artificial Intelligence & Machine Learning Course is an introduction to the fundamentals of Artificial intelligence and Machine learning, Applications of Artificial intelligence, AI programming, Deep learning AI, and Neural networking.
The course will employ a hands-on practical approach and will cover the ethical implications of AI, and how to design and deploy machine learning models responsibly. At the end of the training, participants will create practical AI applications using the Python programming language.
Artificial Intelligence & Machine Learning Course Outline
Module 1: Introduction to Machine Learning and AI
- Overview of machine learning and AI
- History and applications of machine learning
- Machine learning pipeline and process
- Types of machine learning: supervised, unsupervised, and reinforcement learning
Module 2: Data Preprocessing and Feature Engineering
- Data cleaning and transformation
- Feature selection and extraction
- Data visualization
Module 3: Supervised Learning
- Regression and classification problems
- Linear regression and logistic regression
- Decision trees and random forests
- Support vector machines
Module 4: Unsupervised Learning
- Clustering techniques
- Principal component analysis
- Dimensionality reduction
- Support vector machines
Module 5: Deep Learning
- Neural networks and deep learning architectures
- Convolutional neural networks (CNNs)
- Recurrent neural networks (RNNs)
- Autoencoders and generative adversarial networks (GANs)
Module 6: Evaluation Metrics and Model Selection
- Model evaluation metrics: accuracy, precision, recall, F1 score, AUC-ROC
- Cross-validation and hyperparameter tuning
- Model selection and ensemble methods
Module 7: Responsible and Ethical AI
- Bias and fairness in machine learning
- Privacy and security considerations
- Explainability and interpretability of machine learning models
- Societal Implications of AI
Module 8: Emerging Trends in AI
- Reinforcement learning and deep reinforcement learning
- Natural language processing and text analytics
- Computer vision and image recognition
- Time series forecasting and anomaly detection
- Become Job Ready
- Become an expert in the field.
- Increase earning potential.
Artificial Intelligence & Machine Learning Course Fees & Dates for Upcoming Classroom Classes In 2024
Batch 1 | Batch 2 | |
---|---|---|
Date | 17th Nov – 16th Dec, 2023 | Contact Us |
Fees | ₦350,000 | ₦350,000 |
Training Days | Fri & Sat | Contact Us |
Training Time | 2pm – 4pm | Contact Us |
Delivery Method | Classroom & Online | Contact Us |
Location | 123a Obadina street Lagos | Contact Us |
Course FAQ
This course is an introduction to the fundamentals of machine learning and artificial intelligence (AI). Students will learn how to apply various algorithms to real-world data sets and gain an understanding of how these algorithms work under the hood. Additionally, the course will cover the ethical implications of AI and how to design and deploy machine learning models responsibly.
AI technology has a wide range of applications across various industries. Some of its uses include Neural Language Processing for speech AI for smartphone devices and tools such as ChatGPT, Machine Learning Algorithms for data science, and Smart vehicles etc.
The Artificial Intelligence & Machine Learning Course is an introduction to the fundamentals of Artificial intelligence and Machine learning, Applications of artificial intelligence, AI programming, Deep learning AI, and Neural networking.