6840+ Job Posting Available
6840+ Job Posting Available
Placements in Rag Llm Application Development: 1,342

Rag Llm Application Development Course Online with Certification

Learn Rag Llm Application Development through Python, OpenAI API, Gemini API, LangChain, LlamaIndex, FAISS, ChromaDB, Pinecone, FastAPI, Streamlit, and Docker. This online training is built for learners who want to build RAG pipelines, LLM applications, and production-ready AI assistants with real projects.

4.7/5 from 1,432 reviews
Build RAG-based applications instead of stopping at prompt writing.
Work with vector databases, embeddings, semantic search, and hybrid retrieval.
Practice with OpenAI API, Gemini API, Hugging Face, and open-source LLMs.
Create document chat apps, enterprise knowledge assistants, and AI research tools.
Use LangChain, LangGraph, and LlamaIndex for modular app development.
Finish with GitHub-ready projects, deployment basics, and interview preparation.
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14,200+ (Placed)

Freshers to IT

7,100+ (Placed)

Non-IT to Tech

5,800+ (Placed)

Career Gap Fillers

6,400+ (Placed)

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Placement Record

We have placed 10,579 Students in Rag Llm Application Development

Microsoft logo
Google logo
Deloitte logo
Infosys logo
Zomato logo
Tech Mahindra logo
5.2 LPA
Pramod

Pramod

5.2 LPAServiceNow Developer

Prodapt
5.7 LPA
Vihaana

Vihaana

5.7 LPAAndroid Developer

Nextwebi
6 LPA
Navya

Navya

6 LPAAndroid Developer

Corsel Technologies
7 LPA
Karthik

Karthik

7 LPAAndroid Developer

appzoc
9 LPA
Sanjeev Sukla

Sanjeev Sukla

9 LPAAI Engineer

Tech Mahindra
5 LPA
Sukumar Roy

Sukumar Roy

5 LPAData Scientist

Accenture
8 LPA
Jagjith Rathode

Jagjith Rathode

8 LPAMachine Learning Engineer

Deloitte
4 LPA
Lipika Shah

Lipika Shah

4 LPAAI Engineer

Infosys
4 LPA
Kutumb Sharma

Kutumb Sharma

4 LPAAssociate Product Manager

Cognizant
3.45 LPA
Gheeta Kumari

Gheeta Kumari

3.45 LPANetwork Engineer

Cognizant
3.75 LPA
Venkatesh Iyengar

Venkatesh Iyengar

3.75 LPANOC Support Engineer

BharatHire.com
4.4 LPA
Lakshmi Menonon

Lakshmi Menonon

4.4 LPANetwork Administrator

Capgemini
9 LPA
Jagan Roy

Jagan Roy

9 LPAAI Engineer

goibibo
12 LPA
Sharmila

Sharmila

12 LPAData Engineer

TCS
16 LPA
Rahul Rai

Rahul Rai

16 LPAData Engineer

atlys
5.1 LPA
Pawan Singh

Pawan Singh

5.1 LPARPA Developer

Infosys
7.83 LPA
Narayan

Narayan

7.83 LPARPA Business Analyst

Capgemini
5.55 LPA
Sima

Sima

5.55 LPAData Scientist

TATA
40 LPA
Joseph

Joseph

40 LPAAWS Devops Engineer

Amazon
25 LPA
Sameer

Sameer

25 LPASalesforce Developer

Salesforce
30 LPA
Savitha Iyer

Savitha Iyer

30 LPAProject Administrator

Amazon
20 LPA
Jayanthi

Jayanthi

20 LPADigital Marketing Specialist

Zomato
12 LPA
Sangeetha

Sangeetha

12 LPASocial Media Manager

Rubrik
8 LPA
Kishore

Kishore

8 LPADigital Marketing Analyst

Wipro
8.5 LPA
Rekha

Rekha

8.5 LPAPerformance Marketer

Atlassian
4.3 LPA
Jestina

Jestina

4.3 LPADigital marketing specialist

zensar technologies
8 LPA
Sasidharan

Sasidharan

8 LPAPerformance Marketer

atlys
4.3 LPA
Vanaya

Vanaya

4.3 LPAAI Engineer

zensar technologies
7.5 LPA
Jyoti

Jyoti

7.5 LPAData Engineer

Velocity
4.5 LPA
Kaushik

Kaushik

4.5 LPASalesforce Developer

Tech Mahindra
8.45 LPA
Rohini

Rohini

8.45 LPAComputer Vision Engineer

nvidia
5 LPA
Shravya

Shravya

5 LPASAP FICO Analyst

accenture
5.8 LPA
Sandhya

Sandhya

5.8 LPASAP FICO Analyst

Sonata Software
4.2 LPA
Abhiram

Abhiram

4.2 LPAServicenow Developer

Prodapt
4.8 LPA
Krishna

Krishna

4.8 LPATOSCA Automation Engineer

Hexaware
8 LPA
Aqib

Aqib

8 LPAData Engineer

Tiger Analytics
8 LPA
Rohan

Rohan

8 LPATosca Test Analyst

Cognizant
10 LPA
Muskan

Muskan

10 LPAMachine Learning Engineer

Fractal
4.4 LPA
Ritika

Ritika

4.4 LPATosca Administrator

QualityAI
5.7 LPA
Aliya

Aliya

5.7 LPAML Engineer

Mu Sigma
6 LPA
Amith

Amith

6 LPADevops Engineer

Meesho
7.15 LPA
Asha

Asha

7.15 LPADevSecOps Engineer

netsmartz
6.3 LPA
Anamika

Anamika

6.3 LPAAI Engineer

Fractal
7 LPA
Sai Krishna

Sai Krishna

7 LPAMLOps Engineer

First Source
5 LPA
Prachi

Prachi

5 LPAHR Executive

ABC Consultants
7 LPA
Rafiya

Rafiya

7 LPAData Scientist

Tredence
10 LPA
Rudra Lakshmi

Rudra Lakshmi

10 LPABrand Marketing Specialist

gojek
8.2 LPA
Andro

Andro

8.2 LPAAI Engineer

Fractal

Placement Assistance for Rag Llm Application Development

This program is built for job outcomes, not just course completion. Learners get help turning RAG, LLM, and AI agent projects into interview-ready proof of skill, with support that covers resume framing, project explanation, and role mapping for titles like LLM Application Developer, RAG Developer, and Generative AI Developer.

The support is structured across the course timeline: project work first, then resume building, then mock technical interviews and scenario-based practice. By the time learners finish the capstone, they already have material to discuss in interviews with clarity.

Our Signature Career Support:

  • Resume support focused on LLM, RAG, and AI project experience.
  • GitHub portfolio guidance for semantic search, document chat, and agentic workflow projects.
  • Mock interviews on embeddings, chunking, vector search, retrieval quality, and deployment.
  • Interview coaching for roles such as RAG Developer, AI Engineer, and LLM Engineer.
  • Help presenting capstone work with ATS-friendly skills and project descriptions.

Rag Llm Application Development Salary Insights

Rag Llm Application Development roles are hired across product teams, SaaS companies, AI startups, enterprise support teams, and data-driven service firms. Pay usually rises with stronger deployment, retrieval, and agent-building experience, especially when a candidate can explain production projects clearly.

Average Salary by Experience

Why Students Choose Our Rag Llm Application Development Course Online?

4.7/5 Google Rating | 1,432+ Verified Reviews

4.7 / 5

By Google Reviews

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4.7 / 5

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4.7 / 5

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Success Result: Our students are competing at global levels. Watch their placement journey here.

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REVIEWS

4.7/5 · 1,432+ Verified Reviews

About Inventateq

Inventateq has supported learners with job-oriented training for years, with a format that keeps classes practical, mentor-led, and focused on outcomes that matter after training ends. For Rag Llm Application Development, that means structured online learning, project work, and interview preparation built into the process instead of added at the end.

We stand apart through our commitment to:

  • Longstanding training delivery with a job-first teaching style.
  • Mentor-led classes that keep concepts tied to real application building.
  • Curriculum updates that follow current LLM, RAG, and deployment practices.
  • Learners from different backgrounds trust the institute for career transitions.
  • Support continues beyond theory through projects, revision, and interview prep.
 classes
Live Online
Remote Learning

Inventateq Online Live Classes

The live online batch is designed for learners who want the same practical pace without travel. Sessions are interactive, code-driven, and easy to follow from anywhere, with screen sharing, project walkthroughs, and mentor feedback on RAG pipelines, LangChain work, and deployment tasks.

100% Live Instructor-Led Online Classes
Dedicated Doubt-Solving Sessions with Mentors
Study Guides, PPTs, and Exam Guidance Included
Class Recordings and Backup Sessions for Missed Classes
Flexible Weekday and Weekend Batch Timings
Career Guidance and Interview Preparation Support

Details of Inventateq Rag Llm Application Development Course

Freshers

Learners who want a structured entry into LLM application development and AI project work.

Working professionals

Developers who want to move into GenAI, RAG, and AI product roles.

Career switchers

People from software, support, analytics, or non-IT backgrounds with basic Python interest.

Python learners

Those who already know functions, classes, and basic data handling and want to apply them.

AI curious learners

Anyone who wants to build document chat systems, assistants, and retrieval-based apps.

Corporate teams

Teams looking for LLM Application Development Training for internal use cases.

Quick Highlights of Rag Llm Application Development Course

A focused 2-month online program with a hands-on pace.

  • Duration: Recommended training length is 2 months.

  • Level: Starts from beginner-friendly concepts and moves to advanced application building.

  • Format: Live online training with practical coding and project work.

  • Method: 30% concepts and 70% hands-on development.

Rag Llm Application Development Curriculum

1. Module 1: LLM & Generative AI Foundations (Week 1)

W1
  • Generative AI basics and how LLM applications are structured
  • Tokens, context windows, inference, and generation parameters
  • System, user, and assistant messages
  • Prompt engineering fundamentals and structured outputs
  • Function calling and the first Python-based AI assistant

2. Module 2: Prompt Engineering & LLM APIs (Week 2)

W2
  • Zero-shot, few-shot, and role prompting
  • Prompt templates, variables, and versioning
  • Context injection and output formatting
  • API parameters, rate limits, retries, and error handling
  • Summarization, classification, extraction, and sentiment tasks

3. Module 3: Embeddings & Semantic Search (Week 3)

W3
  • What embeddings are and how text becomes vectors
  • Cosine similarity and semantic similarity
  • Embedding pipelines and similarity search
  • Keyword search versus semantic search
  • Top-K retrieval for document discovery

4. Module 4: Vector Databases (Week 4)

W4
  • Vector database architecture and indexing
  • Collections, documents, and chunks
  • FAISS, ChromaDB, Pinecone, and PostgreSQL + pgvector
  • Metadata filtering and retrieval APIs
  • Choosing the right vector database for an application

5. Module 5: RAG Fundamentals (Week 5)

W5
  • RAG architecture and why retrieval is needed
  • Document ingestion, loading, cleaning, and text extraction
  • Chunking, overlap, embeddings, and storage
  • Retrieval, context construction, and prompt augmentation
  • Build a document chat application with supported file types

6. Module 6: LangChain & LlamaIndex for LLM Applications (Week 6)

W6
  • LangChain components such as models, prompts, parsers, loaders, retrievers, and chains
  • LlamaIndex ingestion, indexing, and query engines
  • Vector store connections and reusable components
  • RAG implementation using both frameworks
  • Enterprise knowledge assistant project work

7. Module 7: Advanced RAG (Week 7)

W7
  • Recursive and semantic chunking strategies
  • Parent-child retrieval and multi-document retrieval
  • Hybrid search, query transformation, and query expansion
  • Reranking, context compression, and self-query retrieval
  • Precision improvement and source-cited enterprise RAG

8. Module 8: RAG Evaluation, Guardrails & Production Optimization (Week 8)

W8
  • Retrieval and answer evaluation metrics
  • Faithfulness, context relevance, and answer relevance
  • Hallucination detection and grounded responses
  • Prompt injection, sensitive data handling, and validation
  • Logging, error handling, cost optimization, and latency control

9. Module 9: LLM Agents & Tool Calling (Week 9)

W9
  • AI agent fundamentals and agent architecture
  • Tool calling, function calling, and external APIs
  • State management and multi-step reasoning
  • Database tools, search tools, and RAG plus agents
  • LangGraph foundations and an AI research assistant project

10. Module 10: Deployment & Production LLM Applications (Week 10)

W10
  • FastAPI, Streamlit, REST APIs, and application architecture
  • Environment variables, API security, and production setup
  • Docker fundamentals and containerization
  • Logging, monitoring, testing, and GitHub workflows
  • Deploy a production-ready RAG web application

11. Projects, Interview Prep & Capstone (Week 11)

W11
  • AI assistant, text processing, semantic search, and document chat projects
  • Enterprise knowledge assistant and customer support RAG assistant
  • AI research assistant with agents and tool use
  • Capstone build from ingestion to deployment
  • Resume prep, GitHub structuring, mock interviews, and scenario questions

Student Reviews – Rag Llm Application Development

4.7 Star Rating from 1,432+ Google Reviews

Vibhu Rajesh

Vibhu Rajesh

3.3 LPA • Soft India

The learning experience at Inventateq is unparalleled. The trainers are not just knowledgeable but also passionate about teaching. They make complex topics easy to understand. I am extremely satisfied with the quality of education I received here.

Lakshmi Iyer

Lakshmi Iyer

30 LPA • Google India

Inventateq is a beacon of hope for aspiring professionals. Their practical approach to learning and emphasis on skill development make them stand out. The mentors provide individualized attention, nurturing each student's strengths. I owe my success to their guidance.

Mohammed Basha

Mohammed Basha

14.8 LPA • Lenovo

I cannot speak highly enough of Inventateq. Their commitment to student success is evident in every aspect of their training program. The hands-on projects and real-world simulations prepare students for the challenges of the industry. Truly a transformative experience!

Meera Nair

Meera Nair

10 LPA • Tech Mahindra

Inventateq is the epitome of excellence in industry-aligned training. The personalized attention from mentors sets them apart. The placement support provided by them is top-notch. I'm grateful for their unwavering support throughout my journey.

Shaik Shaheed

Shaik Shaheed

6.5 LPA • Aptus Data Labs

Inventateq gave me practical training and interview prep that helped me land my dream role. Mentors were always available to clear doubts and guide me through every step of the placement process.

Nikita Jain

Nikita Jain

15 LPA • Accenture

The placement support team connected me with top brands. Resume sessions and mock interviews made a huge difference in my confidence during campus drives and off-campus interviews.

Manikanta Saladi

Manikanta Saladi

40 LPA • AWS

Industry-focused curriculum and real-time projects prepared me for cloud roles. I highly recommend Inventateq to every aspiring developer looking for serious career growth.

Priya Sharma

Priya Sharma

18 LPA • Microsoft

Personalised courses and dedicated mentors helped me switch careers successfully. The learning environment is supportive, professional, and focused on real outcomes.

Sandhya Bm

Sandhya Bm

— • Inventateq

I had a very good learning experience with Inventateq. The SAP FICO training was well-structured and covered both theoretical concepts and practical scenarios. The trainers were knowledgeable, supportive, and always ready to clarify doubts. The hands-on exercises and real-time examples helped me understand SAP FICO processes better. The course has improved my confidence in working with SAP and preparing for SAP-related job opportunities. I would recommend Inventateq to anyone looking to build their career in SAP FICO.

Gokul A

Gokul A

— • Inventateq

I enrolled in the Salesforce Admin course at Inventateq. The institute provides quality technical training with experienced trainers and useful learning materials. The sessions are practical-oriented, and trainers clarify doubts clearly, which helped me understand the concepts better. Overall, I am satisfied with the course and the learning environment. One area where the institute can improve is by including more soft skills training, communication development, and interview preparation sessions. Adding these would help students become more confident and industry-ready for placements and real-world opportunities.

Shaik Misrath

Shaik Misrath

— • Inventateq

I had an excellent learning experience with Inventateq Training Institute. The support and teaching quality were outstanding. Nikitha was extremely helpful in managing demos, classes, and addressing all queries in a timely and professional manner. Bharannidharan Sir provided in-depth knowledge of Cloud Security with clear explanations and real-world insights. His guidance and support made learning both effective and enjoyable. I highly recommend Inventateq to anyone looking to build a strong career in cloud and cybersecurity.

Maheswaran M

Maheswaran M

— • Inventateq

It’s a great place to learn big data Hadoop and trainer is more supportive once after completing the course but our efforts are also more important to get the job and train better. Thank you inventateq for your support and guidance.

Manaswini Kolupula

Manaswini Kolupula

— • Inventateq

Inventateq Institute Bangalore offers quality technical training with experienced trainers and helpful learning materials. The classes are practical-oriented and doubts are clarified properly. Overall, I am satisfied with the course training. However, adding soft skills, communication skills, and interview preparation sessions would greatly enhance the overall learning experience and make students more industry-ready.

MUKTHA C V

MUKTHA C V

— • Inventateq

I completed the Data Science course at Inventateq Institute. The training covered Python, Statistics, and Machine Learning libraries like NumPy, Pandas, and Scikit-learn with practical examples. Overall, it was a good learning experience and I sincerely thank the trainers for their support and guidance.

srikruthi n

srikruthi n

— • Inventateq

Excellent way of teaching with examples. Easy to understand. Crisp and clear. Highly knowledgeable and experienced sir. Practiced calculations alot. Highly recommend payroll online class . Teched very patiently. Thank you so much for everything sir.

Thejaswini Asundi

Thejaswini Asundi

— • Inventateq

I completed the Data Science course at Inventateq. The training was practical and easy to understand. Trainer was supportive, and the course helped me improve my skills. Good place to learn Data Science.

Heemanshu Mahadeva

Heemanshu Mahadeva

— • Inventateq

I enrolled for Salesforce Admin course here. From the day one support was genuine and honest.They listen to your concern and fedback regarding the course. My sincere thanks to Nikitha and Tutor Jai Yadav.

Bindhiya gowda

Bindhiya gowda

— • Inventateq

I completed a Data Science course at Inventateq, and it was an incredibly valuable experience. The training was comprehensive, covering essential topics like Python, Machine Learning algorithms, Data Visualization, and real-world project implementation. The instructors were knowledgeable and always ready to clarify doubts with practical examples. The hands-on approach, combined with real-time case studies and assignments, helped me strengthen my understanding and build confidence in applying concepts to real data. It gave me a great boost as I transitioned into applying for data science roles. I highly recommend Inventateq to anyone looking to begin or transition into the field of Data Science.

sanhita dawn

sanhita dawn

— • Inventateq

I joined Inventateq for the Digital Marketing course, and it was a very good experience. Arif sir was extremely helpful and supportive. He explained everything clearly and with great care. His teaching style made the concepts easy to understand. Overall, I’m very satisfied with the training and truly appreciate his guidance.

uma bn

uma bn

— • Inventateq

I joined the HR course, and the teaching is good. It has helped me a lot, and the coordinators are very supportive.

Dhanush D

Dhanush D

— • Inventateq

I completed my Salesforce Admin and developer course at Inventateq training institute, Btm Layout. The trainer was very friendly and teaching very clearly and understand the topics and most of the topics has explained with real time examples and individual guidance makes learning very easy and effective, also trainer was very clearly guide me about interview preparations. I had an amazing experience and also give the good placement support. Thank u Inventateq

Asim Ali

Asim Ali

— • Inventateq

I have done AWS DevOps course in inventateq institute located in btm layout bangalore, the trainer’s deep expertise and practical exercises made complex topics easy to grasp. I now working in a IT Company as a Cloud Engineer with a good salary.

Ganesh K S

Ganesh K S

— • Inventateq

Inventateq provides the Aspirant an In depth knowledge of SAP MM and makes them proficient in using the software. Course training will make learner expertise in the software and provides the chances of grabbing good job opportunities in this domain.

aditya singh

aditya singh

— • Inventateq

I had a great learning experience at this institute. The faculty was knowledgeable and supportive, and the curriculum was well-structured, covering all the important concepts in depth. A good place to learn skills like Data Science and other tech courses.

Vibhu Rajesh

Vibhu Rajesh

3.3 LPA • Soft India

The learning experience at Inventateq is unparalleled. The trainers are not just knowledgeable but also passionate about teaching. They make complex topics easy to understand. I am extremely satisfied with the quality of education I received here.

Lakshmi Iyer

Lakshmi Iyer

30 LPA • Google India

Inventateq is a beacon of hope for aspiring professionals. Their practical approach to learning and emphasis on skill development make them stand out. The mentors provide individualized attention, nurturing each student's strengths. I owe my success to their guidance.

Mohammed Basha

Mohammed Basha

14.8 LPA • Lenovo

I cannot speak highly enough of Inventateq. Their commitment to student success is evident in every aspect of their training program. The hands-on projects and real-world simulations prepare students for the challenges of the industry. Truly a transformative experience!

Meera Nair

Meera Nair

10 LPA • Tech Mahindra

Inventateq is the epitome of excellence in industry-aligned training. The personalized attention from mentors sets them apart. The placement support provided by them is top-notch. I'm grateful for their unwavering support throughout my journey.

Shaik Shaheed

Shaik Shaheed

6.5 LPA • Aptus Data Labs

Inventateq gave me practical training and interview prep that helped me land my dream role. Mentors were always available to clear doubts and guide me through every step of the placement process.

Nikita Jain

Nikita Jain

15 LPA • Accenture

The placement support team connected me with top brands. Resume sessions and mock interviews made a huge difference in my confidence during campus drives and off-campus interviews.

Manikanta Saladi

Manikanta Saladi

40 LPA • AWS

Industry-focused curriculum and real-time projects prepared me for cloud roles. I highly recommend Inventateq to every aspiring developer looking for serious career growth.

Priya Sharma

Priya Sharma

18 LPA • Microsoft

Personalised courses and dedicated mentors helped me switch careers successfully. The learning environment is supportive, professional, and focused on real outcomes.

Sandhya Bm

Sandhya Bm

— • Inventateq

I had a very good learning experience with Inventateq. The SAP FICO training was well-structured and covered both theoretical concepts and practical scenarios. The trainers were knowledgeable, supportive, and always ready to clarify doubts. The hands-on exercises and real-time examples helped me understand SAP FICO processes better. The course has improved my confidence in working with SAP and preparing for SAP-related job opportunities. I would recommend Inventateq to anyone looking to build their career in SAP FICO.

Gokul A

Gokul A

— • Inventateq

I enrolled in the Salesforce Admin course at Inventateq. The institute provides quality technical training with experienced trainers and useful learning materials. The sessions are practical-oriented, and trainers clarify doubts clearly, which helped me understand the concepts better. Overall, I am satisfied with the course and the learning environment. One area where the institute can improve is by including more soft skills training, communication development, and interview preparation sessions. Adding these would help students become more confident and industry-ready for placements and real-world opportunities.

Shaik Misrath

Shaik Misrath

— • Inventateq

I had an excellent learning experience with Inventateq Training Institute. The support and teaching quality were outstanding. Nikitha was extremely helpful in managing demos, classes, and addressing all queries in a timely and professional manner. Bharannidharan Sir provided in-depth knowledge of Cloud Security with clear explanations and real-world insights. His guidance and support made learning both effective and enjoyable. I highly recommend Inventateq to anyone looking to build a strong career in cloud and cybersecurity.

Maheswaran M

Maheswaran M

— • Inventateq

It’s a great place to learn big data Hadoop and trainer is more supportive once after completing the course but our efforts are also more important to get the job and train better. Thank you inventateq for your support and guidance.

Manaswini Kolupula

Manaswini Kolupula

— • Inventateq

Inventateq Institute Bangalore offers quality technical training with experienced trainers and helpful learning materials. The classes are practical-oriented and doubts are clarified properly. Overall, I am satisfied with the course training. However, adding soft skills, communication skills, and interview preparation sessions would greatly enhance the overall learning experience and make students more industry-ready.

MUKTHA C V

MUKTHA C V

— • Inventateq

I completed the Data Science course at Inventateq Institute. The training covered Python, Statistics, and Machine Learning libraries like NumPy, Pandas, and Scikit-learn with practical examples. Overall, it was a good learning experience and I sincerely thank the trainers for their support and guidance.

srikruthi n

srikruthi n

— • Inventateq

Excellent way of teaching with examples. Easy to understand. Crisp and clear. Highly knowledgeable and experienced sir. Practiced calculations alot. Highly recommend payroll online class . Teched very patiently. Thank you so much for everything sir.

Thejaswini Asundi

Thejaswini Asundi

— • Inventateq

I completed the Data Science course at Inventateq. The training was practical and easy to understand. Trainer was supportive, and the course helped me improve my skills. Good place to learn Data Science.

Heemanshu Mahadeva

Heemanshu Mahadeva

— • Inventateq

I enrolled for Salesforce Admin course here. From the day one support was genuine and honest.They listen to your concern and fedback regarding the course. My sincere thanks to Nikitha and Tutor Jai Yadav.

Bindhiya gowda

Bindhiya gowda

— • Inventateq

I completed a Data Science course at Inventateq, and it was an incredibly valuable experience. The training was comprehensive, covering essential topics like Python, Machine Learning algorithms, Data Visualization, and real-world project implementation. The instructors were knowledgeable and always ready to clarify doubts with practical examples. The hands-on approach, combined with real-time case studies and assignments, helped me strengthen my understanding and build confidence in applying concepts to real data. It gave me a great boost as I transitioned into applying for data science roles. I highly recommend Inventateq to anyone looking to begin or transition into the field of Data Science.

sanhita dawn

sanhita dawn

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I joined Inventateq for the Digital Marketing course, and it was a very good experience. Arif sir was extremely helpful and supportive. He explained everything clearly and with great care. His teaching style made the concepts easy to understand. Overall, I’m very satisfied with the training and truly appreciate his guidance.

uma bn

uma bn

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I joined the HR course, and the teaching is good. It has helped me a lot, and the coordinators are very supportive.

Dhanush D

Dhanush D

— • Inventateq

I completed my Salesforce Admin and developer course at Inventateq training institute, Btm Layout. The trainer was very friendly and teaching very clearly and understand the topics and most of the topics has explained with real time examples and individual guidance makes learning very easy and effective, also trainer was very clearly guide me about interview preparations. I had an amazing experience and also give the good placement support. Thank u Inventateq

Asim Ali

Asim Ali

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I have done AWS DevOps course in inventateq institute located in btm layout bangalore, the trainer’s deep expertise and practical exercises made complex topics easy to grasp. I now working in a IT Company as a Cloud Engineer with a good salary.

Ganesh K S

Ganesh K S

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Inventateq provides the Aspirant an In depth knowledge of SAP MM and makes them proficient in using the software. Course training will make learner expertise in the software and provides the chances of grabbing good job opportunities in this domain.

aditya singh

aditya singh

— • Inventateq

I had a great learning experience at this institute. The faculty was knowledgeable and supportive, and the curriculum was well-structured, covering all the important concepts in depth. A good place to learn skills like Data Science and other tech courses.

Rated 4.9/5 by AI Students

Why Learn Rag Llm Application Development Today?

Companies are moving from simple chatbot demos to real systems that search documents, answer with context, and use tools safely. That shift has created demand for learners who can build RAG pipelines, connect APIs, and ship applications that actually work outside a notebook.

Why Students Trust Inventateq for Rag Llm Application Development

  • The course follows a learn, build, test, deploy structure that matches how real teams work.
  • Learners practice with current tools used in GenAI projects, not just theory slides.
  • Projects are designed around business use cases like support, internal search, and research assistance.
  • The training keeps the focus on accuracy, retrieval quality, and production readiness.
  • Inventateq positions learners to explain their work clearly in interviews and project reviews.

Build Real Rag Llm Application Development Skills That Open Career Paths

Learners do not just study concepts. They build working applications, practice debugging, and learn how to explain their projects as part of a job interview conversation.

Connect an LLM to a Python app

You will be able to send prompts to LLM APIs, handle responses, and format outputs in a useful way. That gives you a working base for assistants, text tools, and AI workflows.

Design prompts that produce stable results

You will learn to use templates, variables, and structured output patterns. This helps you reduce messy responses and make outputs easier to use in real applications.

Create semantic search pipelines

You will know how to generate embeddings, compare vectors, and retrieve the most relevant content. This is the core of document search and RAG systems.

Build complete RAG applications

You will be able to move from document loading and chunking to retrieval and final answer generation. That makes you capable of building chat-with-docs and knowledge assistant tools.

Work with production frameworks

You will use LangChain, LlamaIndex, LangGraph, FastAPI, and Streamlit in practical builds. These are the kinds of tools employers expect in applied GenAI work.

Prepare projects for interviews and GitHub

You will finish with capstone-level work, clear project explanations, and ATS-friendly resume content. That makes your profile easier to present to recruiters and hiring managers.

Detailed Insights :: Rag Llm Application Development Training Online

Students Most Asked Questions

Is this course suitable for beginners?

Yes. The course starts with LLM basics, prompts, and simple Python integration before moving into retrieval, vector databases, and deployment. If you know basic Python functions, classes, and APIs, you can follow the training step by step.

Will I work on real projects?

You will. The syllabus includes AI assistant builds, semantic search, document chat, enterprise knowledge assistant, support assistant, and a capstone RAG platform. Those projects are designed to show practical ability, not just topic coverage.

Do you provide placement assistance?

Yes, placement assistance is part of the training flow. Support includes resume preparation, mock interviews, project explanation, and role mapping for titles such as RAG Developer, LLM Application Developer, and AI Engineer.

Can non-technical learners join this online training?

Learners from non-IT backgrounds can join if they are ready to learn basic Python and simple API usage. The course avoids heavy math and focuses on application building, which makes it more practical for career switchers. The main requirement is consistency with coding practice.

Is the class live or recorded?

The format is live online training. That means learners can ask questions, watch code being built in real time, and get help when a concept such as chunking, retrieval, or API integration needs extra clarification.

How long does the course take to complete?

The recommended duration is 2 months. The structure is paced around modules, projects, and interview preparation so the learner can move from basics to deployment without rushing the applied parts.

What job roles can I target after this course?

You can target roles such as Generative AI Developer, LLM Application Developer, RAG Developer, AI Engineer, Generative AI Engineer, LLM Engineer, AI Application Developer, and Conversational AI Developer. The exact role depends on your prior background and how strong your projects are.

Join Inventateq Career Guidance Program.

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