Create AI-powered applications, chatbots, and autonomous multi-agent systems used by real-world companies.
We focus on API connections, embeddings, and agents rather than dry theory.
Everyone knows how to use ChatGPT. Companies pay for developers who can write logic that triggers workflows based on AI decisions.
Learn vector embeddings, function calling, state routing, and semantic routing architectures.
Build self-correcting multi-agent loops that run autonomously to execute complex business tasks.
Hook LLMs up to external knowledge hubs using semantic search, metadata filters, and vector tables.
A highly practical roadmap covering prompt architectures, AI pipelines, and agent loops.
Few-shot learning, chain-of-thought prompting, XML structure delimiters, and guardrails to prevent AI hallucinations.
Working with OpenAI, Anthropic, and open-source models via Hugging Face. JSON formatting setups.
Create vector chunks, execute embeddings, and query Pinecone/ChromaDB databases for semantic context match.
Set up LangChain or CrewAI. Orchestrate agents that play roles (researcher, writer, debugger) to execute tasks.
Write hooks that let AI trigger external database searches, send emails, or check live calendar timings.
Host AI chatbot backends, deploy serverless functions, optimize token costs, and secure API keys.
We offer two structures. Choose the one matching your immediate academic or professional goal.
Perfect for beginners wishing to understand how LLM APIs connect. Build a simple chatbot and explore prompting limits.
Designed to build job-ready AI engineers. Deploy vector databases, configure complex tool calling, and manage self-correcting agent teams.
Real-world AI systems displaying complete tool calling capabilities.
Build a custom chatbot that consumes corporate PDF documents, splits and vectorizes the data, and answers semantic questions accurately.
A dashboard connecting image and text models (DALL-E, Stable Diffusion, GPT-4) to generate marketing banners based on simple target briefs.
An agentic system that crawls Google search, scrapes company websites, extracts key team emails, and crafts custom draft outreaches.
A Node-based graph orchestrator linking multiple agents (Researcher, Editor, Publisher) using CrewAI to automate content calendar creation.
Every student who finishes their development track walks away with a suite of professional deliverables.
Complete source code for 4 major AI projects showing clean API handshakes and custom backend logic.
A beautiful web page consolidator hosting live demonstration frames of your chatbots and research agents.
Live 1-on-1 technical review sheets evaluating your knowledge on embeddings, rates, token counts, and RAG pipelines.
Walk away with a basic understanding of prompting formats and a simple single-page chatbot mockup.
Internship Experience Certificate from Digiteease verifying your contribution and code repositories.
Invest in your career launch. Lock in the pricing before the next batch deadline.
Accelerated sprint to understand basic API parameters and simple prompt designs.
Complete AI Engineering track. Multi-agent configuration, Pinecone vector search, and complete Career Accelerator layer.
1-on-1 direct coaching with weekly project code checks, OpenAI credits allocation, and portfolio domain setup.
Frequently asked questions regarding the Gen AI & Agentic AI program.
Bypass generic coding mockups. Secure a job-ready portfolio and start landing developers' callbacks.