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Free Artificial Intelligence Projects Course

Name: Artificial Intelligence Projects
Rating: 4.5 (1595 reviews)

Artificial Intelligence Projects

4.5 Beginner level 6.75 learning hrs 55.6K+ Learners

Take a free artificial intelligence projects course & get hands-on experience to handle ai problems.

Instructor:

Ms. Sampriti Chatterjee

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Skills you will gain

ANN Model

Keras

Python

Weights

Biasis

Activation

+7 More

Key Highlights

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

About this course

Artificial intelligence is one of the most common topics and the most trending domain today. The Artificial Neural Network (ANN) is a data-processing paradigm inspired by the brain. It learns by doing, just like people. An ANN is designed for a given purpose, such as pattern recognition or data classification, through a learning process. This course will also predict stock prices using Deep learning techniques. The model training approach is discussed in a case study. The course is structured in a way that helps you to implement the solution and models of Artificial Intelligence to the problems. To do well in the real world and learn business applications of AI, the best practice is learning through artificial intelligence projects.

Explore India's best artificial intelligence course to gain skills and succeed in the global environment. The 12-month online course provides personalised mentorship with career support and access to our vast professional network.

Stand out with an industry-recognized certificate

Start learning

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Course outline

Image Processing using Python

What is Image Processing?

Human brain vs Neural Network

How image input works in computer?

What is CNN?

Layers in CNN

Face Recognition using Python

Getting started with OpenCV Demo Creating a Virtual Assistant using Python

What is Chatbot?

Building a Virtual Assistant using Python

Architecture of ANN

Loss Functions in Neural Networks

Back Propagation in Neural Networks

Gradient Descent

Keras Basic ANN Architecture - Demo

Dataset Overview and Model Framework

ANN Application Credit Data - Demo

What is Dead Neuron Problem?

Is Scaling necessary?

What is Time Series Forecasting?

Basics of Steps in Forecasting

ANN and RNN

Model Training

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

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Artificial Intelligence Projects

4.5

6.75 Hours

Beginner

55.6K+ learners enrolled so far

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Master in-demand skills & tools

Test your skills with quizzes

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Master Artificial Intelligence

3 projects 12.5 hrs video content

Practice exercises

Guided Projects

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Trusted by 10 Million+ Learners globally

4.6

4.89

4.94

4.7

Learner reviews of the Free Courses

4.5

★★★★

★ ☆

★

71%

★

☆

19%

★

☆

★

☆

★

☆

ladeeda Yasmin

4.0

★★★ ★ ☆

India

“I Had a Good Experience in This. It Was Awesome. Thank You”

I appreciated the hands-on projects that allowed me to apply AI concepts directly. The mentorship sessions were particularly helpful, offering guidance on industry-relevant skills and tools, like TensorFlow and NLP libraries. The structured curriculum, combined with practical examples and case studies, made the complex topics easier to understand. I also enjoyed the community aspect, where we could interact with peers working on similar projects, which provided a great learning experience.

Nada Dachraoui

5.0

★★★★ ★

“Gained Significant Knowledge in AI, Particularly in CNNs and Image Processing”

The tutorials were insightful, breaking down complex concepts into manageable sections, which allowed me to truly understand the workings of AI. One of the most fascinating aspects was learning about CNNs, where I explored how neural networks are used to process images by identifying patterns, edges, and shapes. The detailed explanations on how convolutional layers, filters, and pooling layers function to reduce dimensionality and enhance feature detection were particularly eye-opening.

Prasanna Pramod Raut

5.0

★★★★ ★

India

“It Was a Great Experience Learning”

The online learning experience has been interesting and helpful. The course materials are well-organized, making them easy to follow. The quizzes and discussion boards add to the learning experience and help build a sense of community among students. It would be great to have more real-life examples or case studies to apply what we’ve learned. Overall, it’s a great course, and I’m excited to see how it improves!

Mohammed Mohsin

5.0

★★★★ ★

India

“Chatbot Development: Create an AI-Powered Chatbot for Customer Service”

Chatbot Development: Create an AI-powered chatbot that can engage users in natural language conversations, answer questions, and provide support for customer service applications. Image Recognition: Develop a model that can analyze images and identify objects, scenes, or even specific features, useful for applications in security, healthcare, and retail. Sentiment Analysis: Build a tool that analyzes text data (like social media posts or customer reviews) to determine the sentiment behind the words, helping businesses understand public perception.

Dhruv Laddha

5.0

★★★★ ★

India

“Develop Systems to Solve Complex Problems and Enhance Human Capabilities”

The best thing for learning AI, in short, is hands-on experience with practical projects. Applying concepts through real-world projects allows you to solidify your understanding, gain practical skills, and tackle challenges that you’ll encounter in real applications. Combine this with foundational knowledge in mathematics, programming, and core AI concepts to build a solid and effective learning foundation.

Naahh h

5.0

★★★★ ★

Qatar

“Thoroughly Enjoyed the AI Class: Informative and Engaging”

I thoroughly enjoyed the AI class and found it to be both informative and engaging. The course provided a solid understanding of key concepts in artificial intelligence, such as machine learning.

Ranjitha S Nambiar

5.0

★★★★ ★

India

“ANN and RNN Were My Favorite Topics in This Course”

This course has strengthened my understanding of machine learning and its potential in solving complex problems. I'm excited to apply this knowledge to future AI projects! Looking forward to continuing my journey in AI and machine learning.

Dhanoj Gupta

5.0

★★★★ ★

India

“Began My Journey in AI with Curiosity for Machine Learning”

My journey into Artificial Intelligence (AI) began out of a deep curiosity for how machines can mimic human intelligence. I was drawn to the idea of using data to uncover patterns and make predictions, so I started learning the fundamentals of machine learning, neural networks, and deep learning through various online platforms. Early on, I familiarized myself with tools like Python, TensorFlow, and scikit-learn, which are essential for developing AI models.

Kathleen Ballesteros

5.0

★★★★ ★

Philippines

“Learning AI Opens Up a World of Innovation and Problem-Solving”

By mastering AI, you gain the tools to tackle complex challenges, optimize processes, and analyze vast amounts of data, making you an invaluable asset in today’s data-driven world. The interdisciplinary nature of AI also allows you to blend interests in mathematics, computer science, and even psychology, enriching your understanding of how intelligent systems operate.

Wagh Sejal Ravindra

5.0

★★★★ ★

India

“AI Project Deepened My Understanding of Machine Learning”

I enjoyed working on the AI project because it allowed me to apply theoretical knowledge in a real-world context. The hands-on experience with data preprocessing, training machine learning models, and evaluating their performance was particularly rewarding. I also liked the problem-solving aspect, as I had to fine-tune models and adapt strategies to improve accuracy, making it a valuable learning experience in both technical and practical terms.

What our learners enjoyed the most

Skill & tools

64%

64% of learners found all the desired skills & tools

Our course instructor

Ms. Sampriti Chatterjee

Artificial Intelligence Expert

951K+ Learners

75 Courses

Sampriti has been working in the field of data science and has expertise in languages such as Python, SQL, and Java. She also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow 2.0. She is been in the technical content side for the last few years.

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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Free Artificial Intelligence Projects Course

Artificial Intelligence Projects

Stand out with an industry-recognized certificate

Key Highlights

About this course

Stand out with an industry-recognized certificate

Course outline

Image Processing using Python

What is Image Processing?

Human brain vs Neural Network

How image input works in computer?

What is CNN?

Layers in CNN

Face Recognition using Python

Getting started with OpenCV Demo Creating a Virtual Assistant using Python

What is Chatbot?

Building a Virtual Assistant using Python

Architecture of ANN

Loss Functions in Neural Networks

Back Propagation in Neural Networks

Gradient Descent

Keras Basic ANN Architecture - Demo

Dataset Overview and Model Framework

ANN Application Credit Data - Demo

What is Dead Neuron Problem?

Is Scaling necessary?

What is Time Series Forecasting?

Basics of Steps in Forecasting

ANN and RNN

Model Training

Level up with advanced skills & become job ready with Pro+

Trusted by 10 Million+ Learners globally

Learner reviews of the Free Courses

What our learners enjoyed the most

Our course instructor

Frequently Asked Questions

Subscribe to Academy Pro+ & get exclusive features

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