Free Artificial Intelligence Projects Course

Artificial Intelligence Projects

star 4.5  Beginner level 2.25 learning hrs 55.9K+ Learners

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.

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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.


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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.

Get access to the complete curriculum once you enroll in the course

Artificial Intelligence Projects

rating icon 4.5

2.25 Hours

Beginner

55.9K+ learners enrolled so far

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Learner reviews of the Free Courses

4.5
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Reviewer Profile
Mirza younis

5.0

“Excellent experience learning Artificial Intelligence Projects”
Artificial Intelligence Projects provide an excellent learning experience, opening the door to endless opportunities in today’s digitally-driven world. Getting Started with Bard encompasses various strategies, tools, and platforms that allow businesses and individuals to effectively reach their target audience. Gaining expertise in this field can be both enriching and transformative.
Reviewer Profile
Quratulain

5.0

“I just loved practicing these projects under AI.”
This project basically offers to learn many skills and tools. The way of conveying the concepts by the instructor was just amazing.
Reviewer Profile

5.0

Indonesia
“Comprehensive and In-depth Learning Experience”
I thoroughly enjoyed the curriculum and the depth of the topics covered. The instructor was knowledgeable and made complex concepts easy to understand. The quizzes and assignments were challenging yet rewarding, enhancing my learning experience.
Reviewer Profile

5.0

India
“User-friendly interface with high-quality, interactive content.”
1. Engaging Content Interactive Elements: Quizzes, exercises, and interactive simulations made learning more engaging and practical. Multimedia Resources: Videos, infographics, and animations helped illustrate complex concepts effectively. 2. Clear and Structured Learning Path Well-Organized Modules: Courses and lessons were structured logically, making it easy to follow a clear learning path. Progress Tracking: Tools for tracking progress and completion kept motivation high and helped manage learning goals. 3. User-Friendly Interface Intuitive Navigation: The website had a clean design with easy-to-use navigation, making it simple to find and access different resources. Responsive Design: The site worked well across various devices, ensuring accessibility from both desktop and mobile. 4. Support and Resources Accessible Support: Help sections, FAQs, and support forums were readily available, providing assistance when needed. Additional Resources: Links to supplementary materials, references, and further reading.
Reviewer Profile

4.0

India
“Excellent deep dive into ANN for financial modeling”
I successfully completed the Artificial Intelligence Projects course, focusing on the bank defaulters using ANN project. The course covered important fundamental topics like time series forecasting methods, pooling, and dense layers. I appreciated the practical application of TensorFlow in Google Colab. The materials were easy to follow, and the quizzes and assignments helped solidify the concepts.
Reviewer Profile

4.0

“My experience was good. I have acquired basic knowledge about Artificial Intelligence Projects.”
The curriculum, instructor, topic depth, quizzes, and assignments were good.
Reviewer Profile

5.0

India
“Very good course, good content, good instructor.”
Very good course, good content, good instructor. I really liked the projects showcased; they guided us well.
Reviewer Profile

5.0

Canada
“I appreciated the depth of information on neural networks and time-series forecasting.”
I enjoyed the detailed insights into neural networks and their practical applications. The coverage of forecasting techniques and how patterns in time-series data are identified was particularly useful. The explanations were straightforward, making complex concepts more accessible.
Reviewer Profile

5.0

India
“It's included with examples, making it easier to understand.”
It's included with examples, making it easier to understand, and it is really easy for the students to learn AI.
Reviewer Profile

5.0

India
“Got to learn in-depth information.”
Time-series forecasting predicts future values based on historical data, identifying trends, seasonality, and patterns. Techniques include naive methods, moving averages, and ARIMA. Performance evaluation metrics like MAE and RMSE assess forecast accuracy. Applications span business, weather, and economics, aiding decision-making through historical data analysis.

What our learners enjoyed the most

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

Why do Artificial Intelligence Projects Fail?

There can be multiple reasons for AI / ML projects failure. Some are :

  • Insufficient Data

  • Lack of skilled Data Scientists

  • Lack of Data Strategy

  • Training Data problem

  • Deficient Budget 

  • Too complex project

  • Lack of leadership support

  • Unexpected complications

 

What makes a good Artificial Intelligence project?

To make a good AI project, you can follow below steps :

  • You need to determine the purpose

  • Determine the objective of the project

  • Do your data building part wisely

  • Check and measure the outcome of the project

  • Make use of the visualization tool

What are some cool AI projects?

Some of the cool Artificial Intelligence projects can be :

  • Voice-based Virtual Assistant

  • Facial Emotion Recognition and Detection

  • Handwritten Digits Recognition

  • Next Word Predictor

  • T-rex Dino Bot

  • Chatbot

  • Self-Driving Car

  • Online Assignment Plagiarism Checker

  • 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 :

  • Alexa

  • Microsoft Cortana

  • AlphaGo

  • IBM Watson

  • Google Brain

  • Self-driving car

  • Manufacturing robots

  • Smart Assistants

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