Vande Bharath

Vande Bharath

Vande Bharath

Vande Bharath

Short Term -12

Gen AI

Build Smarter with Generative AI that Empowers your development with AI that writes, codes, and learns. Integrate advanced generative models into your apps, products, and workflows to streamline innovation and reduce time to market.

30 - 40 Days

Offline/Online

(593+)

Batches Starts On 1st,10th & 20th of every month

Batches Start From 1st,10th & 20th of every month

Document

Course Overview

30 - 40 Days Course Duration

We go over all the prerequisites needed to acquire a fantastic job, from the ground up.

100% Placement Assistance

Providing complete assistance with the preparation to crack the interviews

Placement Opportunities

We are assisting in finding better and more relevant job openings.

Live Training Interactive Sessions

Through guidance throughout to ensure the students gain the best out of the course.

Why Choose Short term-12 ?

Short Term-12 at GQT is designed for rapid skill-building, hands-on learning, and industry-ready outcomes. With expert mentors, real-time projects, and focused training in high-demand technologies like Generative AI, it’s the perfect launchpad for students and professionals looking to upskill quickly and effectively. Whether you’re exploring AI-powered content creation, intelligent automation, or next-gen tools, this program equips you with the practical knowledge to stay ahead in a tech-driven world.

Instructors

Syllabus

Foundations of Generative AI & Prompt Engineering
  • What is Generative AI?
  • Anatomy of LLMs (briefly covering transformer, GPT, and BERT)
  • Introduction to Prompt Engineering
    •  Few-shot, Zero-shot, Chain-of-Thought
    • Output formatting (JSON, tables, etc.)
    • Prompt templates in LangChain
  • Hands-on: Create prompt templates for classification and summarization
Retrieval-Augmented Generation (RAG)
  • Why RAG? Overcoming LLM context limitations
  • Core components: Embeddings, Vector Stores, Chunking, Retriever
  • Implementing RAG with LangChain
  • Chunking strategies and embedding models
  • Hands-on: Build a basic RAG system with PDF/text data
LangChain Essentials
  • LangChain architecture: Chains, Tools, Agents
  • Memory, PromptTemplates, LLMChains
  • Using tools and function-calling
  • Introduction to LangChain Expression Language (LCEL)
  • Hands-on: Use LangChain to query a dataset using chains & agents
ReAct & Reflection Patterns
  • What is ReAct? Reasoning + Acting loop
  • Differences between ReAct, CoT, and Reflexion
  • Reflection and Reflexion: Iterative self-correction
  • Comparing: ReAct vs Reflexion vs ToRA vs LATS
  • Hands-on:
    • Implement a ReAct agent in LangChain
    • Implement a Reflexion agent using LangGraph state
LangGraph for Agentic Workflows
  • Introduction to LangGraph (State Machines + LangChain)
  • Nodes, edges, states, loops, branching logic
  • Designing Agentic workflows with memory
  • Reflexion loops using LangGraph
  • Hands-on:
    • Build a LangGraph agent with self-reflection
    • Multi-hop RAG using LangGraph
CrewAI for Multi-Agent Collaboration
  • What is CrewAI? How it compares to LangGraph
  • Agents, Roles, Tasks, Crew
  • Tools and Custom Agents
  • Planning multi-step agent flows
  • Hands-on:
    •  Build a 3-agent CrewAI system (e.g., Question Generator → Retriever → Answer Synthesizer)
Capstone Project

Project: Build an Agentic RAG System using CrewAI and LangGraph

  • Project Brief:
    “Create a system that takes a document, extracts multiple questions, and answers them
    using Agentic RAG.”
  • Phase 1: Document upload + RAG indexing
  • Phase 2: Question generator agent (CrewAI or LangGraph node)
  • Phase 3: RAG agent + synthesizer
  • Phase 4: Reflexion loop for better answer quality
  • Optional: Gradio front-end or Streamlit demo

Course Features

Mentorship by Industry Experts

Get hands-on learning from the industry experts and polish your real-life application skills.

Industrial Boost camps

Polish your skills for the industry with the updated Industrial Boot Camps

Peer Networking

Learn with the like-minded individuals and grow together with them with the network you form

Placement Assistance

Get thorough placement assistance from finding openings to cracking the interview.

Course Fees

Offline/Online Training + Mentorship

Rs. 4999/- *18% GST

Register Here

Frequently Asked Questions

What is Generative AI?

Generative AI refers to artificial intelligence systems capable of creating new content—such as text, images, code, music, and more—based on patterns learned from existing data.

Can Generative AI help me in my career?

Yes. Generative AI skills are in high demand across industries, including media, software development, marketing, and design.

Who can join the Generative AI programs at GQT?

Our Gen AI programs are designed for everyone—from beginners curious about AI to professionals seeking to upskill. No prior coding or AI knowledge is required to get started.

Are there any placement opportunities?

Yes, GQT offers placement assistance through its strong network of hiring partners and dedicated career support services.

How do I enroll?

You can enroll online via the GQT website or by visiting the nearest GQT training center.

Student Testimonials

Google
Likitha K A profile picture
Likitha K A
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
I had a really good learning experience at Global Quest Technologies. The Core Java and MySQL training was very practical and easy to follow. The trainers, especially Raghu Sir, were supportive and explained everything clearly. I feel much more confident.
Google
Nandana T profile picture
Nandana T
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
I recently completed the MySQL training at Global Quest Technologies under the guidance of Raghu Sir, and it was an excellent learning experience. The course was very well-structured, starting from fundamentals and gradually moving into advanced topics.He explained every concept with great clarity and real-time examples, which made it easy to understand even the complex parts of SQL. I am very thankful to Raghu Sir and Global Quest Technologies for their excellent training and support. I would definitely recommend this institute to anyone who wants to build strong MySQL skills. And also I have currently completed core java from global quest technologies as java full stack intern under the mentoring of Raghu sir.The classes are absolutely worth and he has coverd all the important core concepts in java.I would recommend the classes to all.Such a good class.
Google
Umamaheswara Rao Uppu profile picture
Umamaheswara Rao Uppu
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
It is a great Experience to coming here and learning the technology currently i have completed Core Java by Raghu sir, all the concepts is clear.. thank you so much GQT
Google
ARJUN ARJUN profile picture
ARJUN ARJUN
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
Global quest technologies is providing the best trainer now i have completed my corejava classes
Google
Pruthvi Shivanagi profile picture
Pruthvi Shivanagi
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
I had privilege of learning MySQL under the guidance of Raghu sir, and it has been excellent experience. Raghu sir is not only an expert in SQL but also a great mentor, His classes are well paced, engaging, and perfectly suited for both beginners and advanced learners.
Google
Munganda Chandrika profile picture
Munganda Chandrika
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
Trained by professional corporate trainer Raghu sir. Gained practical experience in Java and MYSQL.
Google
Jyothirmayi Runku profile picture
Jyothirmayi Runku
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
I am so thankful to GQT (Global Quest Technologies) for providing excellence knowledge and giving practical experience through out the training . Thank you to GQT
Google
Satish Tiwari profile picture
Satish Tiwari
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
It is a great expreince to coming here and learning the technology currently i have completed SQL by Raghu sir, all the concet is cleare... thank you so much GQT
Google
Indu profile picture
Indu
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
Raghu Sir’s SQL sessions were not just about queries and commands, but about truly understanding how databases think. His way of connecting real-life scenarios with SQL concepts made the subject come alive. What I liked most was his patience in clearing doubts and the way he built confidence in approaching complex problems step by step. It was more than a class – it was an experience that strengthened my foundation in SQL. Honestly i liked it. Thank You sir [Indra]
Google
Reena Reenu profile picture
Reena Reenu
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
It was an good experience being in this soft skill class where i can learn more things like how to communicate, manage the things . Where i learned how to perform in group discussion, interview and built my confident. It was an amazing class and i am very glad and thankful for being in sir class. The MYSQL class which gives a good experience on how to solve queries and learn from it , the topic which was covered like ddl , dml , dql, clause, function, transaction, er diagarm ,view ,stored procedure, triggers , variables .