by TensorHub Technologies
Programs / Generative & Agentic AI Foundations
Foundations · Start Here

Generative & Agentic AI Foundations

The entry point into the THriveX portfolio. Build a solid, practical foundation in large language models, prompt engineering, retrieval-augmented generation, and agent basics — then ship your first working agent by week 8.

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Duration
8 Weeks
Commitment
6–8 hrs/wk
Format
Live + Self-paced
Level
Beginner-friendly
Curriculum

From "what is an LLM" to "I shipped an agent"

1

How LLMs Actually Work

Weeks 1–2
  • Transformers, tokens, and context windows — explained without heavy math
  • Comparing GPT, Claude, Gemini, Llama, Mistral, DeepSeek
  • Costs, latency, and model selection for business use cases
  • Responsible use, hallucination, and known limitations
2

Prompt Engineering for Enterprise Tasks

Weeks 3–4
  • Structured prompting, few-shot examples, and system prompts
  • Chain-of-thought and self-consistency techniques
  • Prompt evaluation and iteration workflow
  • Hands-on: build a document-summarization assistant
3

Retrieval-Augmented Generation (RAG)

Weeks 5–6
  • Embeddings and vector search (Pinecone, Chroma, Weaviate)
  • Chunking strategy and retrieval quality
  • Grounding answers in your own enterprise documents
  • Hands-on: build a Q&A assistant over a company knowledge base
4

Your First Agent

Weeks 7–8
  • What makes something an "agent" vs. a chatbot
  • Tool calling and simple planning loops
  • Intro to LangChain / LangGraph basics
  • Capstone: ship a working single-agent assistant with one real tool integration
Outcomes

What you'll be able to do

  • ✓Explain how LLMs work and choose the right model for a task
  • ✓Write reliable, structured prompts for business use cases
  • ✓Build a RAG pipeline grounded in real documents
  • ✓Ship a simple working agent with tool-calling
  • ✓Speak confidently about GenAI capabilities and limits to any stakeholder
Real-World Use Cases

Built on enterprise scenarios

Professional Services

Contract summarization assistant

Prompt-engineered assistant that extracts key clauses and flags risk terms from legal documents.

HR & Operations

Internal policy Q&A bot

RAG-grounded assistant answering employee questions from the company handbook, with citations.

Sales & Marketing

Meeting-notes-to-CRM agent

Simple tool-calling agent that extracts action items from call notes and logs them automatically.

Job Market

Where this foundation leads

Foundations is a launchpad — most graduates progress directly into Agentic AI Designer, AI Deployment Engineer, or the FDE track. Indicative entry-level ranges below.

RoleIndia (Annual)Global (Annual)
GenAI / Prompt Engineer (Entry)₹8L – ₹20L$75K – $140K
AI-Enabled Product / Business Analyst₹10L – ₹25L$85K – $150K
Junior Applied AI Engineer₹12L – ₹30L$100K – $170K

Ideal for professionals transitioning into AI from software engineering, data, product, or consulting backgrounds.

✓

Designed and delivered by a Claude Architect–certified Forward Deployed Engineer

Even at the foundational level, every example is drawn from real enterprise deployments — so you learn the habits that scale, from day one.

Claude Architect Certified Former Forward Deployed Engineer
FAQ

Common questions

Do I need a technical background?

Basic comfort with spreadsheets or light scripting helps, but this program is designed for working professionals from product, operations, and analyst backgrounds — not just engineers.

What happens after I finish?

Graduates get priority placement consideration for Agentic AI Designer, AI Deployment Engineer, and (with relevant experience) Forward Deployed Engineer.

Start your AI engineering journey in 8 weeks.

Get the full syllabus and see a sample capstone agent.

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