Build the AI products companies are shipping in 2026 — LLM-powered apps, computer vision systems and end-to-end MLOps pipelines. 45 live sessions with PyTorch, LangChain and Hugging Face.
Linkskill's AI Engineer program is a 45-session, live-instructor-led course that takes you from Python and ML fundamentals to building production-grade AI systems. You'll master PyTorch for deep learning, LangChain & OpenAI API for LLM applications, Computer Vision with YOLO & OpenCV, and MLOps for deploying and monitoring models at scale.
By graduation you'll have built a GenAI-powered application, a computer vision pipeline and a deployed ML API — three projects that put you in the top 5% of AI job applicants in India.
Course Curriculum
01
Python & ML Foundations
5 sessions
Python OOP & advanced patterns for AI codebases
NumPy, Pandas & data preprocessing pipelines
Scikit-learn: classical ML refresher & pipelines
Math for AI: linear algebra, calculus intuition, probability
GPU setup: CUDA, Google Colab Pro & local environment
02
Deep Learning with PyTorch
8 sessions
PyTorch tensors, autograd & custom training loops
Building & training CNNs for image classification
Transfer learning: fine-tuning ResNet, EfficientNet
RNNs, LSTMs & GRUs for sequential data
Transformer architecture from scratch (attention mechanism)
Model optimisation: mixed precision, gradient clipping
TorchServe for model serving
Experiment tracking with MLflow & W&B
03
NLP & Large Language Models
8 sessions
NLP pipeline: tokenisation, embeddings, attention
BERT & GPT-2 fine-tuning with Hugging Face Transformers
Complete all 45 sessions and the capstone project to receive the Linkskill Academy AI Engineer certificate — recognised by hiring companies across India's tech sector.
