AI & Generative AI Track • Python • LangChain • RAG

AI & Machine Learning Internship | Python, LLMs & RAG | Haque Studio

Stop watching theoretical videos that only call standard OpenAI endpoints. Learn how real AI engineers build: Python asynchronous backends, Vector Embeddings with Pinecone, Retrieval-Augmented Generation (RAG), and Autonomous Tool-Calling Agents. Designed for beginners and undergraduate students.

Apply for AI & ML Track View 4-Week AI Syllabus

Python 3.12FastAPI & Async Microservices

Vector DBPinecone & pgvector Indexing

LangChainRAG Chains & Tool Calling

VerifiedQR Ledger Certificate & LOR

The 4 Pillars of Production AI Engineering

Beginners are guided through step-by-step milestones to construct production-ready AI software systems.

1. Python Backend & Async Architecture

Master Python 3.12 syntax, data structures, Pydantic v2 validation models, and asynchronous REST APIs using FastAPI to power responsive AI services.

Week 1 Milestone • Foundational Backend

2. Vector Embeddings & Similarity Search

Learn mathematical embeddings, cosine similarity metrics, chunking strategies, and vector database management using Pinecone and pgvector.

Week 2 Milestone • Vector Space

3. Retrieval-Augmented Generation (RAG)

Connect LLMs to private datasets without retraining. Eliminate hallucinations using LangChain, query re-ranking, and contextual document retrieval.

Week 3 Milestone • Hybrid RAG Systems

4. Autonomous Agents & Tool Calling

Build autonomous software agents capable of executing database queries, calling external REST APIs, and self-correcting logic outputs dynamically.

Week 4 Milestone • Agentic Workflows

Real Capstone Projects to Showcase on GitHub

No generic spam classifiers or MNIST digit detectors. You build software that solves actual enterprise challenges.

Capstone Project A

Enterprise PDF & Document RAG Intelligence

An end-to-end vector pipeline that ingests complex technical documents, chunks tables and text, computes embeddings, and provides cited, accurate answers with sub-second retrieval latency.

FastAPILangChainPineconeDocker

Capstone Project B

Autonomous Code Auditor & SQL Query Agent

An intelligent agent equipped with tools to inspect SQL schemas, parse GitHub commits, test query performance, and flag security vulnerabilities automatically via LLM function calling.

Python 3.12Tool CallingNeon PostgreSQLPydantic

Earn an Industry-Endorsed AI Credential

Every candidate receives an official, cryptographically verifiable Certificate of Completion with a dynamic QR code. High performers who demonstrate exceptional capstone engineering receive an executive Letter of Recommendation (LOR) signed by CEO Nejamul Haque.

Apply for AI & ML Cohort 2026

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