DRAG
Techcadd

Best Prompt Engineering Course in Mohali

Master Prompt Engineering at Techcadd Mohali & Chandigarh — learn prompting techniques, LLM APIs, retrieval-augmented generation (RAG), and AI agent design through hands-on projects, expert mentorship, and 100% placement assistance.

Advanced Engineering Labs Mohali
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Context Grounding Systems

Context Grounding

Multi-Agent Execution Patterns

Agent Architectures

What You'll Learn in This Prompt Engineering Course

A hands-on curriculum that takes you from writing your first structured prompt to shipping a working AI agent — covering prompting technique, context grounding, multi-agent orchestration, and model optimization.

Prompt Engineering Fundamentals
Context Grounding & RAG Architecture
Multi-Agent System Orchestration
Model Optimization & Fine-Tuning Labs

Prompt Engineering Fundamentals


Learn how LLMs actually process a prompt — tokens, context windows, temperature and sampling — then master zero-shot, few-shot and chain-of-thought prompting to get reliable, structured output every time, not just on a lucky run.

Context Grounding & RAG Architecture


Reduce hallucination by grounding a model in real data. You'll build retrieval-augmented generation (RAG) pipelines — chunking documents, generating embeddings, and querying a vector database — so answers stay accurate and source-backed.

Multi-Agent System Orchestration


Move from single prompts to autonomous agents. Using frameworks like LangChain and LangGraph, you'll design agent loops with tool calling, memory, and multi-agent handoffs that complete multi-step tasks end-to-end.

Model Optimization & Fine-Tuning Labs


Go beyond prompting alone: evaluate prompt/response quality systematically, understand when fine-tuning beats prompting, and apply cost- and latency-optimization techniques so your applications stay fast and affordable at scale.

One Click to Deploy Your
Intelligent AI Agents

Learn to design, test and ship prompt-driven AI agents in this hands-on Prompt Engineering course — from your first structured prompt to a deployed, tool-using agent.

Course Curriculum

Prompt Engineering Course Curriculum

Seven modules, one continuous build — from your first structured prompt to a deployed, tool-using AI agent.

01

Prompt Engineering Foundations

Tokens, context windows, temperature & sampling, zero-shot vs. few-shot prompting.

02

Advanced Prompting Techniques

Chain-of-thought, ReAct, self-consistency, prompt chaining & structured JSON output.

03

LLM APIs & Function Calling

OpenAI, Anthropic & Gemini APIs, tool/function calling, cost & token optimization.

04

RAG & Context Engineering

Embeddings, chunking strategy, vector databases, and grounding to cut hallucination.

05

AI Agents & Orchestration

LangChain & LangGraph agent loops, tool use, memory, and multi-agent handoffs.

06

Evaluation, Safety & Fine-Tuning

Testing prompt quality, prompt-injection defense, guardrails, and when to fine-tune.

07

Capstone & Deployment

Ship a real prompt-engineered application — deployed, documented, and portfolio-ready for interviews.

Course Details

Prompt Engineering Course Details at a Glance

Duration

2 to 4 months, depending on batch pace

Mode of Learning

Classroom training in Mohali & Chandigarh, plus live online batches

Eligibility

Students, developers & working professionals — beginner friendly

Batch Options

Weekday, weekend and evening batches available

Certification

Industry-recognized Techcadd Prompt Engineering Certificate

Fees

Affordable fee structure with EMI options — ask your counsellor

Techcadd Expert Team Collaboration

Every module is guided by our expert Prompt Engineering & AI trainers - ensuring hands-on practice, mentorship, and real project value.

From your first prompt to a deployed AI agent, our trainers guide you step by step.

Got Questions?

Frequently Asked Questions

What exactly is covered in this Prompt Engineering course?

You will learn core prompting techniques (zero-shot, few-shot, chain-of-thought), structured output design, LLM API integration, tool/function calling, retrieval-augmented generation (RAG), and how to build and evaluate AI agents.

Do I need a coding background to join?

Basic computer literacy is enough to start. We introduce Python and API calls step by step as they come up in the curriculum, so non-programmers can follow along and still build working projects.

How long does the course take and what batch options are available?

The program typically runs 2 to 4 months, with weekday, weekend and evening batches so working professionals and students can both attend comfortably.

How is this different from the Generative AI or general AI courses at Techcadd?

This course focuses specifically on prompting, context engineering, and agent design — the applied skill of directing existing LLMs. Our Generative AI course goes deeper into building GenAI applications end-to-end, and our AI course covers the broader machine learning and deep learning foundations.

Which AI models and tools will I actually use?

You will work hands-on with ChatGPT/GPT-4o, Anthropic Claude, Google Gemini, LangChain, vector databases like Pinecone or ChromaDB, and the OpenAI API for building real prompt-driven applications.

Will I build real projects, or is this mostly theory?

The course is project-based. You will design production-grade prompts, build a RAG-powered knowledge assistant, and ship a working AI agent as your capstone project for your portfolio.

Is job placement assistance included?

Yes. Techcadd provides 100% placement assistance, including resume building, mock interviews, and direct connections with hiring partners across Mohali and Chandigarh.

What certificate do I receive after completing the course?

You receive an industry-recognized Techcadd Prompt Engineering Certificate, validating your practical ability to design, test and deploy prompt-driven AI applications.

What job roles can I target after this course?

Graduates typically move into roles such as Prompt Engineer, AI Automation Specialist, Conversational AI Developer, or AI Product Associate, often alongside existing developer or content skill sets.

Will I learn how to protect prompts from misuse or injection attacks?

Yes. We cover prompt-injection defense, input validation, and guardrail patterns so the applications you build hold up against real-world misuse, not just clean demo inputs.

Is there support for beginners with zero prior AI exposure?

Absolutely. The course opens with prompt engineering fundamentals built for beginners, and mentors are available throughout for one-on-one doubt-clearing.

How do I get pricing and the detailed syllabus?

Fees, the detailed module-wise syllabus and current batch schedules are shared during a free counselling session — book a free demo class to get the full breakdown.

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