Artificial Intelligence & ML
This course is perfect for those aspiring to be Machine Learning Engineers, AI Specialists, or Data Scientists.
Course Overview
The AI & ML course at Sir Ius Services is designed to transform learners into skilled AI practitioners. From foundational machine learning algorithms to deploying AI-driven solutions, this course combines theory, hands-on projects, and real-world datasets to ensure you gain practical experience.
What You’ll Learn
Fundamentals of AI & ML: Core concepts, supervised & unsupervised learning, and model evaluation. Python for Machine Learning: Leveraging NumPy, Pandas, and Scikit-learn for data preparation and modeling. Deep Learning: Neural networks, CNNs, RNNs, and working with TensorFlow and PyTorch.
Natural Language Processing (NLP): Text preprocessing, sentiment analysis, and chatbots. Computer Vision: Image recognition, object detection, and OpenCV applications. Model Deployment: Deploy AI solutions using Flask/Django, APIs, and cloud services. AI Ethics & Best Practices: Bias detection, fairness, and responsible AI development.
Tools & Technologies
Languages: Python Libraries: NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch
Visualization Tools: Matplotlib, Seaborn Cloud Platforms: AWS, Google Cloud, Azure
Course Duration
Total Duration: 14 Weeks
Online E Learning Platform
Trainer
Chris F
Highly driven, published Mathematician specializing in the theory and applications of Optimization, Stochastic, and Statistical Modelling, which provide a strong foundation for Data Science, with expertise in Python, PHP, Java, and JavaScript.
Outcome
By the end of this course, you’ll be able to:
Develop and evaluate ML and AI models Implement deep learning techniques for images, text, and structured data Deploy AI solutions in real-world environments Understand ethical considerations and best practices in AI
