6 Months · Production AI, not demos
Build LLM apps, RAG pipelines, and AI agents with Core2CloudX's AI Engineering internship. Hands-on training with OpenAI, LangChain, FastAPI.
Phases 1–2
NumPy, Pandas, Matplotlib, linear algebra, statistics, probability & Calculus basics.
NumPy, Pandas, Matplotlib, linear algebra, statistics, probability & Calculus basics.
Scikit-learn, regression, classification, clustering, model evaluation, feature engineering.
Phases 3–4
Neural networks, backpropagation, CNNs, RNNs, LSTMs — PyTorch & TensorFlow.
Neural networks, backpropagation, CNNs, RNNs, LSTMs — PyTorch & TensorFlow.
Transformers, BERT, text classification, OpenCV, image detection, Hugging Face.
Phases 5–6
GPT, Claude, LangChain, RAG pipelines, vector databases (FAISS, Pinecone), agents.
GPT, Claude, LangChain, RAG pipelines, vector databases (FAISS, Pinecone), agents.
Stable Diffusion, fine-tuning LLMs, PEFT & LoRA, multimodal models, AI agents.
Phases 7–8
MLflow, DVC, FastAPI model serving, Docker, AWS/GCP deployment, monitoring.
MLflow, DVC, FastAPI model serving, Docker, AWS/GCP deployment, monitoring.
End-to-end AI product build, GitHub portfolio, mock interviews, resume & LinkedIn.
Curriculum
8 phases over 6 months. Each one ends with something you've built and can show, not a quiz you've passed.
NumPy, Pandas, Matplotlib, linear algebra, statistics, probability & Calculus basics.
Scikit-learn, regression, classification, clustering, model evaluation, feature engineering.
Neural networks, backpropagation, CNNs, RNNs, LSTMs — PyTorch & TensorFlow.
Transformers, BERT, text classification, OpenCV, image detection, Hugging Face.
GPT, Claude, LangChain, RAG pipelines, vector databases (FAISS, Pinecone), agents.
Stable Diffusion, fine-tuning LLMs, PEFT & LoRA, multimodal models, AI agents.
MLflow, DVC, FastAPI model serving, Docker, AWS/GCP deployment, monitoring.
End-to-end AI product build, GitHub portfolio, mock interviews, resume & LinkedIn.
Career Deliverables
Opportunities waiting for you — and the evidence to go after them.
Live URLs and a public repo, not screenshots.
Checkable by any employer at any time.
Technical and HR rounds with written feedback.
Referrals and applications until you land the role.
