Courses AI052
Artificial Intelligence Course
Become a certified professional with our comprehensive training program. Master the skills demanded by top employers worldwide.
1 Months
Online
NSDC Certified
Course Overview
Artificial Intelligence is a modern and future-focused field that enables computers and machines to think, learn, and make decisions like humans. This Degree Equivalent Program in Artificial Intelligence provides students with a strong foundation in AI fundamentals, machine learning, deep learning, Python, natural language processing, computer vision, and AI tools and platforms. It is designed for learners who want to build practical skills and prepare for real-world AI applications. The course is fully online, making it convenient to study from anywhere. Its goal is to equip students with industry-relevant knowledge and career-ready skills in the growing field of artificial intelligence.
Syllabus
Course Curriculum
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Lesson 1.1: Functional Programming
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Lesson 1.2:Object-Oriented Programming (OOP)
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Lesson 1.3: Advanced Data Structures
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Lesson 1.4: Exception Handling & Logging
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Lesson 1.5: File I/O & Serialization
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Lesson 1.6: Package Management & Environments
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Lesson 2.1: Numerical Computing with NumPy
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Lesson 2.2: Data Manipulation with Pandas
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Lesson 2.3: Advanced Analytics & Aggregations
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Lesson 2.4: Exploratory Data Analysis (EDA)
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Lesson 2.5: Interactive Data Visualization
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Lesson 2.6: Vector Databases & Storage
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Lesson 3.1: Advanced Relational SQL
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Lesson 3.2: Database Design & Optimization
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Lesson 3.3: NoSQL Systems via MongoDB
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Lesson 3.4: Object-Relational Mapping (ORM)
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Lesson 3.5: Data Pipeline Architecture
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Lesson 3.6: Distributed Storage Concepts
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Lesson 4.1: Applied Linear Algebra & Calculus
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Lesson 4.2: Statistical Foundations
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Lesson 4.3: Supervised Learning: Regression
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Lesson 4.4: Ensemble Methods
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Lesson 4.5: Supervised Learning: Classification
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Lesson 4.6: Unsupervised Learning
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Lesson 4.7: Model Validation & Tuning
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Lesson 5.1: Artificial Neural Networks (ANN)
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Lesson 5.2: Deep Learning Frameworks
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Lesson 5.3: Convolutional Neural Networks (CNN)
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Lesson 5.4: Sequence Modeling (RNN/LSTM)
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Lesson 5.5: Computer Vision Applications
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Lesson 5.6: Training Optimization
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Lesson 6.1: The Transformer Architecture
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Lesson 6.2: Foundational LLMs
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Lesson 6.3: Advanced Prompt Engineering
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Lesson 6.4: Retrieval-Augmented Generation (RAG)
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Lesson 6.5: Fine-Tuning Paradigms
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Lesson 6.6: AI Agents & Orchestration
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Lesson 7.1: Production APIs with FastAPI
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Lesson 7.2: Containerization with Docker
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Lesson 7.3: Cloud AI Infrastructure
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Lesson 7.4: CI/CD Pipelines for ML
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Lesson 7.5: Model Monitoring & Observability
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Lesson 7.6: Advanced AI Architecture Design
Enrollment Application
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Program Investment
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