Artificial Intelligence Course
Overview
From understanding machine learning algorithms to harnessing the power of neural networks, this course equips learners with the knowledge and practical skills needed to excel in AI driven environments. At the end of these courses, the learner will have an opportunity to work in the fields of AI Engineering and ML Engineering.
OUTCOME:
- Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science and Artificial Intelligence
- You will learn the Numpy, Pandas and Matplotlib libraries which are the basic data science libraries
- Build a simple AI Project in Python CLI
Course modules
1. PROGRAMMING BASICS
- Introduction to Programming
- Flowchart
- Algorithm
2. PYTHON FOR AI
- Python Programming
- Exploratory data analysis (EDA) using Pandas and NumPy
- Data Visualization with Matplotlib and Seaborn
3. VERSION CONTROL (GIT)
4. MAIN PROJECT 1 - WITH PYTHON CLI
5. ASSESSMENT
OUTCOME:
- Acquire knowledge and understanding about applications and the future of AI
- You can build models by building your own machine learning and deep learning models
- Using the models, algorithms learned in the course, you can build a more advanced AI project
Course modules
1. INTRODUCTION TO AI
2. MACHINE LEARNING
3. DEEP LEARNING
4. NATURAL LANGUAGE PROCESSING
5. COMPUTER VISION
6. MAIN PROJECT 2
7. ASSESSMENT
OUTCOME:
- Learn how to use Django framework to develop AI projects
- Build an AI project with a user interface
Course modules
1. FRONT END BASICS (HTML, CSS, JAVASCRIPT)
2. SQLITE, DJANGO
3. PROJECT DEMO
4. FINAL PROJECT
5. FINAL ASSESSMENT