AI Engineering Beginner Series (Project Implementation)

AI Engineering Beginner Series

The AI Engineering Beginner Series is an immersive, hands-on course designed to introduce learners to the foundations of Artificial Intelligence and Machine Learning. This program equips students, professionals, and enthusiasts with the essential technical and conceptual skills needed to begin their journey in AI development and innovation.

Through a blend of interactive lectures, practical coding sessions, and real-world projects, participants explore the building blocks of AI systems — from data processing and model training to deployment and ethical AI considerations.

Key learning areas include:

• Fundamentals of Python programming for AI

• Data preprocessing and exploratory data analysis (EDA)

• Introduction to Machine Learning algorithms

• Neural networks and the basics of Deep Learning

• Overview of Natural Language Processing (NLP) and Computer Vision

• Prompt engineering and Generative AI concepts

• Building and deploying simple AI-powered applications

By the end of the course, learners will have developed a solid understanding of how AI systems work and gained the confidence to progress to the AI Engineering Intermediate Series, where they will dive deeper into model fine-tuning, large language models (LLMs), and advanced deployment techniques.