ENG 
NSQF Level: 4.0
540 Hours
32 students enrolled
Overview
Artificial Intelligence Application Developer Course
Artificial Intelligence Application Developer is a comprehensive skill development program designed to prepare students for the rapidly growing field of Artificial Intelligence, Machine Learning, Data Science, and Intelligent Application Development. This course provides a strong foundation in Python programming, data analysis, machine learning algorithms, deep learning techniques, natural language processing, and computer vision technologies.
Artificial Intelligence is transforming industries across healthcare, banking, finance, education, manufacturing, agriculture, e-commerce, and government sectors. Organizations are increasingly adopting AI-powered solutions to automate processes, improve decision-making, analyze large datasets, and enhance customer experiences. As a result, the demand for skilled AI professionals continues to grow worldwide.
The program focuses on both theoretical concepts and practical implementation using industry-standard tools and technologies. Learners develop the skills required to build intelligent systems capable of analyzing data, identifying patterns, making predictions, understanding natural language, and recognizing images.
Upon successful completion, candidates will be equipped with job-ready skills required for entry-level positions in Artificial Intelligence, Machine Learning, Data Analytics, and related domains.
What You Will Learn
- Build AI Applications
- Develop Machine Learning Models
- Perform Data Analysis
- Create Deep Learning Models
- Work with NLP
- Develop Computer Vision Solutions
Career Opportunities
After successful completion of the course, candidates can explore opportunities such as:
- Artificial Intelligence Developer
- AI Application Developer
- Machine Learning Associate
- Junior Machine Learning Engineer
- Data Analyst
- Business Intelligence Associate
- AI Support Executive
- Computer Vision Associate
- NLP Associate
- Data Science Assistant
- AI Research Assistant
- Automation Analyst
Why Choose This Course?
- Industry-Oriented Curriculum
- Hands-On Practical Training
- Government Recognized Certification
- Experienced Trainers
- Career Guidance
- Interview Preparation Support
- Job Readiness Training
- Future-Focused Technology Skills
- Growing Career Opportunities in AI Domain
Course Content
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Installing and configuring programming environment for python -
Writing basic programs and understanding datatypes, operators, looping constructs, functions
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Exploring various data structures
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Learn to work on modules and packages
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Concept of Data Science and tools used
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Pre- Processing Concepts in Data Science
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Introduction to Numpy and Working on N-d arrays
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Learning Analysis on Numpy
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Exploring Image handling using Numpy
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Introduction to Pandas
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Exploring Data Frames and Series
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Learning EDA and Data Analysis
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Performing Analysis on datasets
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Introduction to Visualization and Learning Tools for making Graphs and plots
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Exploring analysis through visualization
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Introduction to Machine Learning
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Learning various ML categories
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Learning to build models on datasets
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Implement Predictive Analysis using various Regression and Classification algorithms
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Learn and apply statistics used in Machine Learning
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Using various metrics and Feature Engineering techniques
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Develop and Implement Project in Predictive Analysis using ML
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Understand and implement Deep Learning using Neural Networks
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Work in Computer Vision using CNN and implement Image based models
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Understand NLP and implement Natural Language Processing algorithms
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Communication Skills
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Teamwork
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Problem Solving
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Interview Preparation
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Professional Ethics
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Workplace Readiness
NSQF Level: 4.0
Duration: 540 Hours
Government Recognized Certificate
Certificate of Completion
12th grade pass
