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Certificate in Computer Application & Artificial Intelligence

Rs.6,000 Rs.3,000

Enroll your course today to avail 50% discount offer, Diploma is valid for all type of Employment.

A Certificate in Computer Application & Artificial Intelligence provides the necessary skills for individuals looking to blend their knowledge of computer applications with AI technologies. This combination is particularly valuable as industries across the world adopt AI to streamline operations, enhance services, and drive innovation.

Description

Course Name: Certificate in Computer Application & Artificial Intelligence

Course Id: CCAAI/Q1001.

Eligibility: 10th Grade (High School) or Equivalent.

Objective: A Certificate in Computer Application & Artificial Intelligence (AI) is a specialized program that combines fundamental computer application skills with advanced knowledge in artificial intelligence technologies. This course is designed to provide students with a strong foundation in using computer applications alongside a practical understanding of how AI can be integrated into various industries for automating tasks, solving complex problems, and making data-driven decisions.

Duration: 90 Hrs (Equivalent to 3 Months).

How You will Get Diploma Certificate:

Step 1- Select your Course for Certification.

Step 2- Click on Enroll Now.

Step 3- Proceed to Enroll Now.

Step 4- Fill Your Billing Details and Proceed to Pay.

Step 5- You Will be Redirected to Payment Gateway, Pay Course and Exam Fee by Following Options.

Card(Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.

Step 6- After Payment You will get Study Material Login id and Password on your email id.

Step 7- After Completion of  Course Study give Online Examination.

Step 8- After Online Examination you will get Diploma Certificate soft copy(Scan Copy) and Hard Copy(Original With Seal and Sign).

Step 9- After Certification you will receive Prospect Job Opportunities as per your Interest Area.

Online Examination Detail:

Duration- 60 minutes.
No. of Questions- 30. (Multiple Choice Questions).
Maximum Marks- 100, Passing Marks- 40%.
There is no negative marking in this module.

Marking System:
S.No. No. of Questions Marks Each Question Total Marks
1 10 5 50
2 5 4 20
3 5 3 15
4 5 2 10
5 5 1 5
30 100
How Students will be Graded:
S.No. Marks Grade
1 91-100 O (Outstanding)
2 81-90 A+ (Excellent)
3 71-80 A (Very Good)
4 61-70 B (Good)
5 51-60 C (Average)
6 40-50 P (Pass)
7 0-40 F (Fail)

Benefits of Certification:

  • Government Authorized Assessment Agency Certification.
  • Certificate Valid for Lifetime.
  • Lifetime Verification of Certificate.
  • Free Job Assistance as per your Interest Area.

Syllabus

Fundamentals of Computer Applications: Introduction to Computers & Operating Systems, Computer Hardware & Software Basics, Microsoft Office Suite (Word, Excel, PowerPoint), Internet & Web Technologies, Database Management Systems (DBMS), Cybersecurity Basics.

Programming Fundamentals: Introduction to Programming Concepts, Python for Beginners (Basic Syntax, Loops, Functions), Object-Oriented Programming (OOP) Basics, Introduction to Data Structures & Algorithms, Hands-on Projects with Python.

Artificial Intelligence & Machine Learning Basics: Overview of Artificial Intelligence (AI), History & Evolution of AI, Mathematics for AI & ML , Machine Learning Process & Data Handling, Introduction to Deep Learning, Machine Learning (ML) vs. Deep Learning, AI Applications in Real-World Scenarios, Introduction to Neural Networks.

Data Science & Machine Learning with Python: Introduction to Data Science & Python , Data Handling & Preprocessing,  Data Preprocessing & Feature Engineering, Supervised & Unsupervised Learning, Introduction to Machine Learning, Introduction to Popular ML Libraries (Scikit-learn, TensorFlow, PyTorch), Hands-on ML Projects.

Natural Language Processing (NLP) & Computer Vision: Introduction to NLP & Computer Vision , NLP Techniques & Machine Learning,  Basics of NLP (Text Processing, Sentiment Analysis), Image Processing & Object Detection, AI in Speech Recognition & Chatbots, Deep Learning for NLP, Deep Learning for Computer Vision.

AI Ethics, Future Trends & Applications: Introduction to AI Ethics , Bias & Fairness in AI,  Ethical Considerations in AI, AI Bias & Responsible AI, AI in Healthcare, Finance, Education & Automation, Future Trends in AI & Emerging Technologies, AI & Job Automation – Societal Impact, AI in Governance & Regulations, Future Trends in AI.

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