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Certificate in Artificial Intelligence

Certificate in Artificial Intelligence

Original price was: ₹6,000.0.Current price is: ₹3,000.0.

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Description

Here’s a structured course detail for a Certificate in Artificial Intelligence (AI):

Certificate in Artificial Intelligence (AI)

Duration: 3-6 Months (Flexible Learning Options Available)
Mode: Online/In-Person/Hybrid
Level: Beginner to Intermediate
Prerequisites: Basic programming knowledge (Python preferred), familiarity with high-school mathematics (algebra, statistics).

Course Overview

This certificate program provides foundational and practical knowledge in Artificial Intelligence, covering key concepts such as machine learning, deep learning, neural networks, and AI applications. Participants will gain hands-on experience with industry-standard tools and frameworks.

Course Modules

1. Introduction to Artificial Intelligence

  • Definition, History, and Evolution of AI

  • Types of AI (Narrow AI, General AI, Super AI)

  • AI Applications in Various Industries

2. Python for AI & Data Science

  • Python Programming Basics

  • NumPy, Pandas, Matplotlib for Data Handling

  • Introduction to AI Libraries (Scikit-learn, TensorFlow, Keras)

3. Mathematics for AI

  • Linear Algebra, Calculus, and Probability

  • Statistical Concepts for Machine Learning

  • Optimization Techniques

4. Machine Learning Fundamentals

  • Supervised vs. Unsupervised Learning

  • Regression, Classification, Clustering

  • Model Evaluation & Validation

5. Deep Learning & Neural Networks

  • Introduction to Neural Networks

  • CNNs (Convolutional Neural Networks) for Computer Vision

  • RNNs (Recurrent Neural Networks) for NLP

6. Natural Language Processing (NLP)

  • Text Preprocessing & Feature Extraction

  • Sentiment Analysis, Chatbots, and Language Models (e.g., BERT, GPT)

7. AI Ethics & Responsible AI

  • Bias, Fairness, and Transparency in AI

  • AI Regulations and Governance

8. Capstone Project

  • Real-world AI project (e.g., Predictive Model, Image Classifier, Chatbot)

  • Industry-relevant case studies

Learning Outcomes

By the end of the course, students will:
✔ Understand core AI/ML concepts and algorithms.
✔ Implement machine learning models using Python.
✔ Build and train neural networks for different applications.
✔ Work on AI projects with datasets and real-world problems.
✔ Gain knowledge of ethical considerations in AI.

Certification

  • Earn a Certificate in Artificial Intelligence upon successful completion.

  • Industry-recognized credential for career advancement.

Who Should Enroll?

  • Students and professionals looking to enter AI/ML fields.

  • Software developers, data analysts, and engineers.

  • Entrepreneurs and business leaders exploring AI solutions.

Tools & Technologies Covered

  • Python, Jupyter Notebooks

  • Scikit-learn, TensorFlow, Keras

  • NLP Libraries (NLTK, spaCy)

  • Google Colab, GitHub

Career Opportunities

  • AI Engineer

  • Machine Learning Engineer

  • Data Scientist

  • NLP Specialist

  • AI Researcher

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