📘 What You’ll Learn

A powerful 6-month hands-on program designed to take you from fundamentals to real-world applications:

💡 Core Modules

• Introduction to AI & Machine Learning Concepts
• Supervised & Unsupervised Learning Algorithms
• Deep Learning Foundations (Neural Networks, CNNs, RNNs)
• Model Evaluation, Optimization & Deployment
• Real-world Projects in NLP, Computer Vision & Predictive Analytics

🛠️ Tools & Frameworks

• Python Programming
• Jupyter Notebooks
• Scikit-learn & Pandas
• TensorFlow & Keras
• OpenCV, NLTK & Hugging Face
• Google Colab & Git for collaboration

🧠 Learning Outcomes

By the end of the course, you will:

• Understand the building blocks of AI and how machines learn
• Design, train, and evaluate machine learning models
• Build and deploy deep neural networks for real-time applications
• Work with data pipelines, preprocessing, and automation tools
• Develop a portfolio of end-to-end AI projects for resume and job interviews

💼 Career Opportunities

AI is reshaping industries, and skilled professionals are in high demand. You’ll be prepared for roles such as:

• Machine Learning Engineer
• AI Researcher
• Data Scientist
• Computer Vision Engineer
• NLP Engineer
• AI Consultant or Freelancer

Industries hiring AI talent include:

• Tech & Software Development
• Finance & Banking
• Healthcare & Biotech
• E-commerce & Marketing
• Robotics & Smart Devices
• Education & Research Institutions

🎯 Course Highlights

• Duration: 6 Months (520+ Hours)
• Mode: In-Person or Hybrid (Practical Focused)
• Class Hours: 4 Hours / Day, Weekdays
• Level: Beginner to Intermediate
• Batch Size: 20-25 Students
• Certification: Completion + Project Portfolio