Technology

Foundations of Artificial Intelligence

Begin where intelligence meets intention. Dive into the essential pillars of AI — exploring how machines think, reason, and learn.

  • Basic Python Programming
  • Introduction to Machine Learning
  • Hands-on with Pandas Library




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Machine

Machine Learning with Python

Dive into supervised, unsupervised, and reinforcement learning using hands-on Python projects.

  • Core Machine Learning Algorithms
  • Supervised, Unsupervised & Reinforcement Learning
  • Real-World Python Projects
  • Model Evaluation & Optimization Techniques


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Deep Learning & Neural Networks

Master deep learning architectures like CNNs, RNNs, and GANs using TensorFlow and PyTorch.

  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs) & LSTMs
  • Generative Adversarial Networks (GANs)
  • Transformers & Attention Mechanisms
  • RAG Pipelines (Retrieval-Augmented Generation)
  • TensorFlow & PyTorch Implementation
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Machine Learning & Deep Learning Masterclass

Explore the full data science lifecycle — from data wrangling and visualization to statistical analysis and predictive modeling.

  • Data Cleaning & Feature Engineering
  • Exploratory Data Analysis & Visualization
  • Statistical Foundations & Hypothesis Testing
  • Machine Learning Algorithms (SVM, Random Forests, XGBoost)
  • Deep Learning with TensorFlow & PyTorch
  • Model Deployment & Performance Tuning
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Technology

Python ML & Deep Learning

Learn to manage and analyze massive datasets using tools like Hadoop, Spark, and cloud platforms like AWS or Azure.

  • Python for Data Science & ML
  • Scalable Data Processing with Hadoop & Spark
  • Model Building & Tuning with Scikit-learn & TensorFlow
  • Big Data Integration with AWS, GCP & Azure
  • Deep Learning Pipelines for Real-Time Analytics
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Machine

AI Master Class

Leverage AI tools and analytics for smarter business strategy, marketing automation, and operational decisions.

  • AI-Powered Business Intelligence Tools
  • Marketing Automation with Predictive Analytics
  • Customer Segmentation & Personalization
  • Operational Decision-Making with ML Models
  • Real-Time Dashboards using AI & NLP

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