12+ Lesson
9hr 30min
32 students enrolled
Cloud PLatform COURSE CONTENT
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What is AI? History &
Evolution
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Applications of AI in Real
Life
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Types of AI – Narrow, General,
and Super AI
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AI vs Machine Learning vs Deep
Learning
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Overview of AI Tools &
Libraries
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Python Basics (Data Types,
Loops, Functions)
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Working with NumPy, Pandas,
and Matplotlib
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Data Preprocessing &
Visualization
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Handling Large Datasets
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Linear Algebra & Calculus
Essentials
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Probability & Statistics for
AI
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Data Normalization & Feature
Scaling
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Understanding Gradient Descent
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Supervised vs Unsupervised
Learning
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Regression & Classification
Algorithms
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Clustering & Dimensionality
Reduction
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Model Evaluation &
Optimization
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Scikit-learn Implementation
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Introduction to Neural
Networks
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Activation Functions &
Backpropagation
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Convolutional Neural Networks
(CNNs)
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Recurrent Neural Networks
(RNNs & LSTMs)
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Introduction to TensorFlow &
Keras
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Text Preprocessing &
Tokenization
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Sentiment Analysis & Text
Classification
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Chatbots & Language Models
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Introduction to Transformers &
Large Language Models (LLMs)
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Image Processing Techniques
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Object Detection & Image
Classification
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Face Recognition Systems
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Real-time Vision Applications
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AI in Healthcare, Finance, and
Business
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Predictive Analytics &
Recommendation Systems
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Edge AI & IoT Integration
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Ethical AI & Responsible
Development
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End-to-End AI Project
-
Model Deployment &
Presentation
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Portfolio Building for
Job/Internship
-
Students and graduates
aspiring to build a career in Artificial
Intelligence and Data Science.
-
Developers and IT
professionals who want to upskill in AI and
machine learning technologies.
-
Analysts or data enthusiasts
seeking to enhance automation and prediction
capabilities.
-
Entrepreneurs and innovators
looking to integrate AI into products or
business solutions.
-
FREE demo session introducing
the fundamentals of Artificial Intelligence
and Machine Learning.
-
Comprehensive training in
Python, Machine Learning, Deep Learning, and
Neural Networks.
-
Hands-on experience with tools
like TensorFlow, PyTorch, OpenCV, and
scikit-learn.
-
Real-world projects on image
recognition, chatbots, recommendation
systems, and more.
-
Placement support, mock
interviews, and resume-building sessions for
job readiness.
-
Small batch sizes to ensure
personalized mentorship and one-on-one
guidance.
-
Trainers with industry
experience in AI, Machine Learning, and Data
Science projects.
-
Project-based learning focused
on real-world AI problem-solving.
-
Updated syllabus aligned with
the latest trends in AI and automation.
-
Career-focused learning with
project portfolios and placement support.
-
Earn an industry-recognized
Artificial Intelligence Certificate upon
course completion.
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Understand AI concepts,
algorithms, and machine learning workflows.
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Design, train, and deploy
predictive models using supervised and
unsupervised learning.
-
Work on computer vision,
natural language processing, and data-driven
automation.
-
Develop end-to-end AI projects
and integrate them with real-world
applications.
Enrolled: 32 students
Duration: 20 hours
Chapters: 15
Video: 12 hours
Level: Beginner