Free Artificial Intelligence Projects Course
Artificial Intelligence Projects
Learn AI agents, Azure OpenAI, LangChain, RAG, PDF question answering, video retrieval, OpenCV, Haar Cascade, and face detection. Join this AI Project Course to build practical AI development skills.
About this course
The AI training projects course equips you with practical skills to build applied AI solutions through hands-on projects. You’ll learn how to create AI agents, including a database agent that can query data using Azure OpenAI and LangChain. The course also covers Retrieval-Augmented Generation systems, showing how to build applications for PDF question answering, video retrieval, and a zero-cost RAG engine.
You’ll also learn computer vision with OpenCV by detecting faces in images using Haar Cascade classifiers, including images with multiple faces. By the end of this AI projects online for beginners course, you’ll be able to apply AI concepts to real project scenarios, build agent-based and RAG-powered applications, use computer vision for image tasks, and strengthen your foundation for practical AI development work.
Course outline
Building AI Agents
In this module, you'll learn to build your first AI agent and create a database agent that queries data using Azure OpenAI and LangChain.
Retrieval-Augmented Generation (RAG) Systems
In this module, you'll learn to build RAG applications for PDF question answering and video retrieval, plus a practical zero-cost RAG engine.
Computer Vision with OpenCV
In this module, you'll learn to detect faces in images using OpenCV and Haar Cascade classifiers, including handling images with multiple faces.
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Practice exercises
Guided Projects
AI Resume Builder
AI mock interviews
What our learners enjoyed the most
Skill & tools
64% of learners found all the desired skills & tools
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
Why do Artificial Intelligence Projects Fail?
There can be multiple reasons for AI / ML projects failure. Some are :
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Insufficient Data
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Lack of skilled Data Scientists
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Lack of Data Strategy
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Training Data problem
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Deficient Budget
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Too complex project
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Lack of leadership support
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Unexpected complications
What makes a good Artificial Intelligence project?
To make a good AI project, you can follow below steps :
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You need to determine the purpose
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Determine the objective of the project
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Do your data building part wisely
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Check and measure the outcome of the project
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Make use of the visualization tool
What are some cool AI projects?
Some of the cool Artificial Intelligence projects can be :
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Voice-based Virtual Assistant
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Facial Emotion Recognition and Detection
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Handwritten Digits Recognition
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Next Word Predictor
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T-rex Dino Bot
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Chatbot
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Self-Driving Car
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Online Assignment Plagiarism Checker
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Stock Price Prediction
What are AI projects around us?
There are several AI projects that are around us, and we use them frequently. Some of the best AI projects are listed below :
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Alexa
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Microsoft Cortana
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AlphaGo
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IBM Watson
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Google Brain
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Self-driving car
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Manufacturing robots
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Smart Assistants