Python, APIs & NLP
Python essentials, async programming, functions, classes, API integration, tokenization and embeddings.
Go beyond prompting. Learn to design AI agents that call tools, coordinate tasks, recover from failures and deliver working applications.
These modules describe the planned 60-hour Agentic AI pathway. Practical examples and technology choices may be adapted for each batch.
Python essentials, async programming, functions, classes, API integration, tokenization and embeddings.
Model APIs, prompt patterns, structured output, context windows, hallucination handling and model parameters.
FAISS, Chroma, Qdrant, Pinecone, pgvector, retrieval, grounding and source validation.
Agent tool calling, LangGraph, CrewAI, Microsoft Agent Framework, MCP and multi-agent coordination.
Memory, checkpoints, retries, circuit breakers, human review, security boundaries and observability.
Design a workflow, integrate external tools, test agent behavior and deploy a working application.
Designed for students, career switchers and software professionals. Beginners can discuss prerequisite learning with the team before enrolling.
Python and APIs, GenAI and LLMs, RAG, vector databases, tool calling, agent orchestration, security, evaluation, and deployment.
Basic Python helps. Forge AI can recommend a foundation path based on your existing experience.
Online learning is offered for students based in Hyderabad and elsewhere. Please confirm whether any classroom sessions are scheduled.
Fees and batch dates are subject to availability. Message the D-3Forge admissions team for current details.
Explore the syllabus, ask questions and find the right starting point.