AI & Data Programs Track
Learn to build intelligent, data-driven systems. Master machine learning pipelines and modern AI integration.
Skill Level
Beginner to Advanced
Certification
Industry Recognized Certificate
Internship
Live Project Options Available
Placement
Placement Support Provided*
Course Curriculum
Our AI & Data track encompasses 2 specialized courses. You can enroll in individual modules or take the comprehensive track.
Artificial Intelligence
Overview: Learn to build intelligent systems. Understand foundational AI concepts, neural networks, and how to integrate large language models (LLMs) into production applications.
Who Should Join: Software engineers and tech professionals looking to pivot into AI.
Tools & Tech: Python, TensorFlow, PyTorch, OpenAI API
Learning Outcomes: Design, train, and deploy AI models for real-world business problems.
Project Work: Build a scalable Knowledge Assistant using Retrieval-Augmented Generation (RAG).
Mode: Online / Classroom
Detailed Curriculum
Module 1: Foundations of Artificial Intelligence
- Introduction to AI, History, and Future Trends
- Search Algorithms and Heuristics
- Knowledge Representation and Reasoning
- Fuzzy Logic and Expert Systems
- Ethics in AI and Bias Mitigation
Module 2: Deep Learning & Neural Networks
- Artificial Neural Networks (ANN) Architecture
- Activation Functions, Backpropagation & Gradient Descent
- Convolutional Neural Networks (CNN) for Image Processing
- Recurrent Neural Networks (RNN) and LSTMs
- Implementing Models using TensorFlow and PyTorch
Module 3: Natural Language Processing (NLP)
- Text Preprocessing: Tokenization, Stemming, Lemmatization
- Word Embeddings (Word2Vec, GloVe)
- Transformers Architecture (Attention is All You Need)
- Fine-Tuning Pre-trained Models (Hugging Face)
- Building Chatbots and Sentiment Analysis Systems
Module 4: Generative AI & MLOps
- Understanding Large Language Models (LLMs) like GPT-4
- Prompt Engineering Techniques
- Retrieval-Augmented Generation (RAG) Systems
- Deploying AI Models with Docker and Kubernetes (MLOps)
- Monitoring and Scaling AI in Production
Ready to build the future?
Schedule a consultation with our architecture team today.
Download Track Syllabus