Course Content

Hands-on projects like chatbots, sentiment analysis, and image classification. Includes AI-focused interview coaching and resume building with projects. History & evolution of AI, Difference between AI, ML, and DL, Applications in real-world industries. Problem-solving & search algorithms, Knowledge representation, Logic & reasoning, Text preprocessing (tokenization, stemming), Sentiment analysis basics.

What You Will Learn?

• Chatbot introduction, Image processing basics, Object detection & recognition
• AI in image classification, TensorFlow, PyTorch overview, Pre-trained AI models
• Case studies & applications, Real-time AI solution (chatbot, recommendation engine, or computer vision project)
• Example: Sentiment analysis on social media data / Face detection app
• AI-specific technical interviews (NLP, CV, algorithms), Resume building with AI skills & projects
• Networking & job referrals to AI startups & MNCs

Outcome

• Job-ready AI Engineer / NLP or Computer Vision Specialist with expertise in AI models, chatbots, and intelligent systems.