Post Graduate Diploma in Computer Application (PGDCA)
The one-year Post Graduate Diploma in Computer Application (PGDCA) Program (50 credits) prepares the students for various industry jobs. The students are offered courses including, program core, specialization core, specialization elective, life skills, and project-based learning.-
4.4/5
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4.7/5
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4.7/5 (1505)
Why Should You Learn This course?
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Future relevance
Abundant career opportunities -
Societal impact
Automation and efficiency -
Innovation and problem-solving
Personal and professional growth
Hiring Company
What you will learn
- Introduction to Artificial Intelligence
- Artificial Intelligence vs Machine Learning
- Linear Regression using Python
- Multiple Linear Regression
- Evaluation Metrics For Classification
- Machine Learning random forest algorithm
- Clustering algorithms in Machine Learning
- Clustering vs Classification
- Recommender system in Machine Learning
- Machine Learning Projects
- Decoding Model selection for Machine Learning
- Machine Learning Model Deployment using Flask
- Practical Ai Project experience
Technologies you'll Master
We have designed this course as per the Industry requirements. In this course, you will gain practical experience and learn various tools based on the most recent technologies, such as: Numpy, Seaborn, Pandas, Matplotlib, TensorFlow, Flask and much more…..
Project
This project takes parameters such as temperature, humidity and wind to forecast weather.
This project use a set of different strategies and algorithms to help users find the most relevant films.
In this project we will use tensor flow frame work created by Google for creating Deep learning models.
This project will apply Machine learning algorithm and Linear Regression to predict Healthcare insurance costs.
This project refers to detect whether a person is wearing a mask or not.
In this project we build our own plagiarism checker to search vast database for stolen content.
This project aimed to predict breast cancer using different Machine learning approaches.
In this Project we build a chatbot program that stimulates human conversation “chatter” through text or voice interactions.
Course Journey
Phase 1
Practical Training Overview
The first part of the course journey focuses on providing students with comprehensive practical training to develop their skills and competencies in real-world scenarios. This hands-on experience allows students to apply theoretical knowledge gained in the classroom to practical situations of real world. Time period : 11 months (1st year)Phase 2
Internship Experience
In the second part of the course journey, students have the opportunity to undertake internships in various companies ranging from startups to established companies, gaining insights into diverse industry sectors which provide a direction for students to enhance their technical & soft skills.Time period : 13 months (2nd year)
Phase 3
100% Placement in Big Companies
We Perfect eLearning offers dedicated support to students during the placement process. This may include career counseling, resume building, interview preparation, and networking opportunities. Students are equipped with the necessary skills to showcase their abilities to potential employers in Final yearProgram outcomes
- Advanced problem-solving skills..
- Expertise in machine learning and deep learning..
- Natural Language Processing (NLP) skills.
- Competence in computer vision and abilities in reinforcement learning.
- Practical AI project experience..
- Proficiency in Python programming & Ai Ethics..
Who will teach?
Jyoti Sharma
4.4 ReviewsOK Google Developer
B.Tech & M.Tech Computer Science at NIT Kurukshetra (Department Ranker 1, CGPA: 9.8) with experience in Android App Development and Machine Learning. I am highly enthusiastic about learning and teaching cutting-edge technologies. My interests include Teaching, Data Structures, Algorithms, and Problem Solving. Worked at Infoedge(Naukri), Ok Google, and got offers from various tech companies including Adobe, UrbanCompany, etc, I would love to create more developers by imparting what I know.
12 Topic
- Database Management Systems [semester 1]
- C Programming and File Handling
- Management Information Systems
- Logic Building and Soft Skills
- Database Management Systems Lab
- C Programming and File Handling Lab
- Data Structure Using C [ semester 2]
- Application Programming in Python
- Quantitative Aptitude and Verbal Ability Skill Building
- Design and Analysis of Algorithms
- Artificial Intelligence and Machine Learning
- Application Programming in Python Lab
