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Free Artificial Intelligence Projects Course

Artificial Intelligence Projects

star 4.5  Beginner level 6.75 learning hrs 55.7K+ Learners

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

Instructor:

Ms. Sampriti Chatterjee

Artificial Intelligence Projects

star 4.5  Beginner level 6.75 learning hrs 55.7K+ Learners
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Skills you will gain

ANN Model

Keras

Python

Weights

Biasis

Activation

Back Propagation

Time Series Forecasting

ANN and RNN

Understanding image processing

Using Convolutional Neural Networks

Face recognition using Python

Building a virtual assistant

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Key Highlights

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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.

 

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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

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Artificial Intelligence Projects

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6.75 Hours

Beginner

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55.7K+ learners enrolled so far

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3 projects 12.5 hrs video content
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Learner reviews of the Free Courses

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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.
Read more
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.
Read more
Reviewer Profile
Irfan Fadli Jalal

5.0

★★★★ ★
Country Flag 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.
Read more
Reviewer Profile
Shreya Shah

5.0

★★★★ ★
Country Flag 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.
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Reviewer Profile
Lakshmi M

4.0

★★★ ★ ☆
Country Flag 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.
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Reviewer Profile
Muzahidul Islam

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.
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Reviewer Profile
Amitlaxman

5.0

★★★★ ★
Country Flag 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.
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Reviewer Profile
Shristi Pahari

5.0

★★★★ ★
Country Flag 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.
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Reviewer Profile
Sankalp Shant

5.0

★★★★ ★
Country Flag 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.
Read more
Reviewer Profile
Sanjana Adhav linkedin icon

5.0

★★★★ ★
Country Flag 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.
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What our learners enjoyed the most

Our course instructor

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Ms. Sampriti Chatterjee

Artificial Intelligence Expert

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954.2K+ Learners
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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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