Classes & Workshops

Intro workshop: Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to perform tasks that would typically require human intelligence. It involves the development of computer systems capable of performing tasks that would typically require human cognitive abilities, such as learning, problem-solving, perception, understanding natural language, and making decisions.

The scope of AI is broad and encompasses various subfields and applications.
Join Us for a 3Day Masterclass to understanding AI and its applications. Live with Coach Amaka Adindu. Do not miss this introduction session it will drastically change your perception of AI, how to use AI and what is available in AI technology. An introductory learn on AI and its applications. Implementation and general knowledge on the benefits of using AI for your business growth.

Day One

1)Introduction to Artificial Intelligence: Register Today

Definition and scope of AI
Historical background and milestones
Types of AI (narrow vs. general)
Ethical considerations and societal impact
2)Machine Learning Fundamentals:

Basics of machine learning
Supervised, unsupervised, and reinforcement learning
Feature engineering and selection
Evaluation metrics
3)AI Algorithms and Techniques:

Regression and classification algorithms (linear regression, logistic regression, decision trees, etc.)
Clustering algorithms (k-means, hierarchical clustering, etc.)
Dimensionality reduction techniques (PCA, t-SNE, etc.)
Introduction to neural networks and deep learning

Day Two

Deep Learning and Neural Networks:

Neural network architecture and components
Activation functions and backpropagation
Convolutional neural networks (CNNs) for image recognition
Recurrent neural networks (RNNs) for sequential data analysis
Natural Language Processing (NLP):

Basics of NLP and its applications
Text preprocessing and tokenization
Word embeddings (Word2Vec, GloVe)
Sentiment analysis and text classification
Computer Vision:

Image processing techniques
Object detection and recognition
Image segmentation and semantic segmentation
Transfer learning for computer vision tasks

Day Three

AI in Practice:

Real-world applications of AI in various industries (healthcare, finance, e-commerce, etc.)
Case studies and success stories
Challenges and limitations of AI implementation
AI Ethics and Responsible AI:

Bias and fairness in AI systems
Explainability and interpretability
Privacy and data protection
Guidelines for ethical AI development and deployment
Future Trends and Advanced Topics:

Reinforcement learning and its applications
Generative adversarial networks (GANs)
Explainable AI and AI for social good
Cutting-edge research and emerging trends in AI
Throughout the workshop, there can be a mix of lectures, hands-on coding exercises, and interactive discussions. Participants may also have the opportunity to work on practical projects or case studies to apply their knowledge and gain hands-on experience in AI.

Register for our 3Day Masterclass now