Course Overview:
The Artificial Intelligence (AI) & Machine Learning (ML) course is designed to equip students with cutting-edge knowledge of AI-driven technologies and ML algorithms. This course covers data preprocessing, supervised and unsupervised learning, deep learning, and natural language processing (NLP), helping students develop AI-powered applications for real-world challenges.
By the end of the course, students will gain hands-on experience with Python, TensorFlow, Keras, Scikit-Learn, OpenCV, and NLP libraries, preparing them for careers in AI development, data science, automation, and research.
Course Duration:
📅 10 to 16 Weeks (Flexible Schedule)
📅 10 to 16 Weeks (Flexible Schedule)
Prerequisites:
✔ Basic understanding of Python programming
✔ Knowledge of mathematics and statistics (helpful but not mandatory)
✔ Interest in AI, data science, and automation
Capstone Project:
Students will work on real-world AI & ML projects, including:
✅ Predictive analytics models for business forecasting
✅ Image recognition and object detection using deep learning
✅ Chatbot development using NLP and AI
✅ AI-based recommendation system for e-commerce or streaming platforms
✅ Speech recognition and sentiment analysis
This hands-on approach ensures students gain practical experience to work on real AI solutions.
Key Learning Outcomes:
📌 Introduction to AI & ML – Learn AI fundamentals, history, and industry applications
📌 Python for AI & ML – Master NumPy, Pandas, Matplotlib, and data preprocessing
📌 Supervised & Unsupervised Learning – Implement regression, classification, clustering, and dimensionality reduction
📌 Neural Networks & Deep Learning – Work with TensorFlow, Keras, and PyTorch
📌 Natural Language Processing (NLP) – Develop chatbots, sentiment analysis, and text summarization
📌 Computer Vision & Image Processing – Work with OpenCV for facial recognition and object detection
📌 Reinforcement Learning – Understand AI decision-making for automation and robotics
📌 AI in the Cloud – Deploy AI models on AWS, Google Cloud AI, and Azure AI
📌 AI Ethics & Responsible AI – Learn about bias, fairness, and ethical considerations
Who Can Learn?
✅ Aspiring AI Engineers & Data Scientists looking for AI & ML expertise
✅ Software Developers & Python Programmers interested in AI-driven applications
✅ IT Professionals & Researchers wanting to explore machine learning
✅ Students & Enthusiasts eager to break into the AI industry
✅ Business Analysts & Marketing Professionals seeking insights from AI-driven data analysis
Why Choose This Course?
🎯 Hands-on Training – Work on real AI projects and gain industry-relevant experience
🎯 Industry-Standard Tools – Learn TensorFlow, Keras, Scikit-Learn, OpenCV, and more
🎯 Practical Case Studies – Solve AI problems in healthcare, finance, retail, and automation
🎯 Expert-Led Training – Learn from AI professionals with real-world experience
🎯 100% Placement Assistance – Resume building, AI job referrals, and freelancing tips
🎯 Industry-Recognized Certification – Get a Certificate in AI & ML for career growth
Certification:
Upon successful completion, students will receive a Certificate in Artificial Intelligence & Machine Learning, showcasing their skills in AI, deep learning, NLP, and automation.
