Do I need machine learning knowledge before Generative Ai Training in Bangalore?

Not necessary. We start with the basics of ML before going deep into Gen AI.

Will I get real-time project experience?

Yes, you'll work on 4+ real projects including chatbots, AI writers, and image generators.

What if I get stuck in a topic?

We offer live support, Telegram groups, and weekly mentor sessions.

Is there a certificate exam?

Yes. There’s a project-based assessment for our internal certificate. We guide you for external exams too.

Can I get a job after this even if I’m a fresher?

Yes. Most of our freshers get offers in AI-focused companies with a strong portfolio.

Home /Generative & Agentic AI/ Advanced Generative AI Course in Bangalore

Learn Generative AI concepts from experts and become an efficient IT enthusiast worldwide.

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Course Duration

50 Hrs.

Live Project

2 Project

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Training Format

Live Online /Self-Paced/Classroom

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200+

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Batches every month

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Bangalore is not just Indias IT capital-its now the heart of AI innovation. Companies here are building AI tools that generate content, write code, make business reports, and even create realistic images and videos. This Gen AI Course in Bangalore helps you learn the real technical skills behind these tools.
Youll get hands-on experience working with powerful models like GPT, DALLE, and Stable Diffusion. From prompt engineering to fine-tuning LLMs (Large Language Models), this Gen AI Training in Bangalore trains you to build AI apps that solve real-world problems. Its perfect for students, freshers, and professionals who want to lead in this fast-growing field.

Gen AI Course in Bangalore teaches you how to use, modify, and create AI models that can generate human-like content, images, or even decisions. Youll learn by doing-not just by watching videos.

Understand how transformer models like GPT work

Learn prompt engineering to guide AI responses

Fine-tune open-source LLMs like LLaMA and Mistral

Use LangChain to build smart chat apps with memory

Work with vector databases like FAISS and Pinecone

Build apps using ChatGPT, DALLE, and Stable Diffusion APIs

Deploy Gen AI apps on platforms like Gradio and Streamlit

Learn how to prevent AI errors like hallucination and bias

Freshers in Bangalore with hands-on Gen AI skills are earning much more than traditional software engineers. Employers want people who can use AI to save time and automate tasks.
Expected Salary Range:

Entry Gen AI Developer: 6 to 9 LPA

AI Content Assistant: 5 to 7 LPA

Prompt Engineer: 7 to 10 LPA

Why salaries are higher:

Gen AI saves time, so companies pay more for skilled people

Not many freshers have deep knowledge of Gen AI tools

Bangalore has hundreds of startups building AI-based products

Gen AI Training in Bangalore opens doors to multiple AI careers. Whether you want to become a coder, a product lead, or an AI consultant, Generative Ai Course in Bangalore builds your foundation.
Career Paths:

Prompt Engineer AI Strategist AI Product Manager

Gen AI Developer AI Consultant AI Architect

AI Trainer LLM Expert Researcher

Growth Boosters:

Build Gen AI apps for your GitHub profile

Contribute to open-source Gen AI projects

Gain recognition through global certifications

Bangalore is the testing ground for Gen AI tools in India. Companies in this city are looking for engineers who can build smart tools, not just websites or apps.
Why the course is popular:

Gen AI Training in Bangalore includes AI project scenarios from Bangalore startups

High demand in healthcare, fintech, and content industries

Includes tools like LangChain, Pinecone, and Gradio used by local AI teams

Helps students get internship offers during Generative Ai Course in Bangalore itself

After completing Gen AI Training in Bangalore, youll be equipped to take on roles that involve designing, training, fine-tuning, and deploying generative AI models. You may work on building intelligent applications that generate text, images, or code, or help organizations customize AI models to fit specific industry needs. Your skills can be applied to real-world problems such as automating customer support, generating creative content, enhancing data analysis, or developing AI-driven tools across sectors like healthcare, finance, marketing, and education.
Roles You Can Apply For:

Gen AI Developer

Prompt Engineer

AI Application Engineer

Chatbot Specialist

What Youll Do:

Write prompts for GPT models to automate emails, reports, or code

Connect LLMs with databases using LangChain

Build chat apps that can remember user input

Fine-tune models using small datasets for specific company needs

In Bangalore, many industries are quickly adopting Generative AI. Sectors like e-commerce and healthcare now rely heavily on this technology. This creates a need for professionals who know how to develop and manage AI tools. Companies want people who can handle the complexities of these systems to improve their operations and spark innovation.
Top Industries Hiring Gen AI Talent:

E-commerce: AI chatbots, content generation

Fintech: AI advisors, fraud detection tools

Healthcare: AI-based reports, diagnosis help

EdTech: Learning content generation, automated tests

Media: Image and video generation for branding

When you complete Generative Ai Course in Bangalore, you will earn certificates that confirm your skills in creating and using Generative AI solutions. These certificates will show your expertise and your ability to solve real-world problems with advanced AI technologies.
Youll Get:

Generative AI Developer Certificate (issued by us)

Prompt Engineering Certificate

GitHub Projects and hosted demos as proof-of-work

Digital badge for sharing on LinkedIn

Generative AI (Gen AI) is evolving fast. By 2025, we can expect it to become more embedded in daily life and work. Tools like ChatGPT, image generators, and code assistants will be more accurate, secure, and specialized. Gen AI will move from being a productivity booster to a co-creator across industries - from marketing to healthcare.
Enterprises will integrate Gen AI into internal tools for summarizing documents, generating emails, writing code, and analyzing customer feedback. Multimodal AI, which understands text, images, and audio together, will become more common in apps.
Privacy and regulation will grow too. More on-device AI models will allow users to use Gen AI without sending data to the cloud. Companies will focus on trust, transparency, and safety in AI usage.
In education, Gen AI will become a personal tutor, offering adaptive content. In coding, it will help debug and refactor code in real time.
By 2025, Gen AI wont just be about generating content - it will shape how we interact with technology.

Rise of domain-specific Gen AI tools

Growth of multimodal AI systems

Focus on AI governance and safety

Expansion of Gen AI in enterprises

Surge in on-device, privacy-safe AI models

More human-AI collaboration workflows

We focus on building job-ready skills. Our trainers are AI engineers working with real Gen AI tools. Youll leave Generative Ai Training in Bangalore with apps you can actually show to employers.
Why Were Best:

You learn from real projects, not just theory

Weekly doubt-clearing with AI professionals

Access to exclusive industry projects from Bangalore startups

Support to publish your apps on Gradio and Streamlit

Detailed review of every project before certification

We guide you from learning to landing a job. Our placement team works closely with startups, product companies, and MNCs in Bangalore.
How We Support You:

Resume building tailored to Gen AI roles

Mock interviews with real questions from hiring panels

Direct referrals to Bangalore-based AI startups

Help with freelancing and client-based AI project pitching

LinkedIn profile optimization and GitHub polishing

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Why should you learn Gen AI?

Transform ideas into content with ease

Automate creative and repetitive tasks

Stay relevant in the AI-driven job market

Not just learning –

we train you to get hired.

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CURRICULUM & PROJECTS

Generative AI Training Program

What is a Large Language Model

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Encoders and Decoders

Model Ontology

Encoders

Decoders

Encoders-Decoders

Architectures at a glance

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Affecting the distribution over Vocabulary

Prompting

Prompt Engineering

In-context Learning and Few-shot Prompting

Example Prompts

Advanced Prompting Strategies

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Prompt Injection

Memorization

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Training

Hardware Costs

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Decoding

Greedy Decoding

Non-Deterministic Decoding

Temperature

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Hallucination

Groundedness and Attributability

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Retrieval Augmented Generation

Code Models

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OCI Generative AI Service

How does OCI Generative AI service work

Pretrained Foundational Models

Fine-tuning

Dedicated AI Clusters

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Tokens

Pretrained Chat Models

Chat Model Parameters

Preamble Override

Temperature

Chat Model Parameters

Top k

Top p

Frequency and Presence Penalties

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Embeddings

Word Embeddings

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Prompt & Prompt Engineering

LLMs as next word predictors

Aligning LLMs to follow instructions

In-context Learning and Few-shot Prompting

Prompt Formats

Advanced Prompting Strategies

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Training LLMs from scratch with my data

In-context Learning / Few-shot Prompting

Fine-tuning a pretrained model

Fine-tuning Benefits

Retrieval Augmented Generation (RAG)

Customize LLMs with your data

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Fine-tuning and Inference

Fine-tuning workflow in OCI Generative AI

Inference workflow in OCI Generative AI

Dedicated AI Clusters

T-Few Fine-tuning

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Dedicated AI Cluster Units

Dedicated AI Cluster Units Sizing

Dedicated AI Clusters Sizing

Example Pricing

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Fine-tuning Configuration

Fine-tuning Parameters (T-Few)

Understanding Fine-tuning Results

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Dedicated GPU and RDMA Network

Model Endpoints

Customer Data and Model Isolation

Generative AI leverages OCI Security Services

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Retrieval Augmented Generation

RAG Framework

RAG Techniques

RAG Pipeline

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Chatbot Introduction

Demo Chatbot

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Chatbot Architecture

OCI Generative AI and LangChain Integration

LangChain Components

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LangChain Prompt, Model and Chain Interaction

LangChain Prompt Templates

String Prompt Template and PromptValue

Chat Prompt Template and PromptValue

LangChain Models

LangChain Models OCI Chat Models

LangChain Models OCI Embedding Models

LangChain Chains

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LangChain Memory

Memory

Memory Chat Messages

LangChain Memory Per User

Demo Memory

Demo Streamlitand Memory

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RAG with LangChain

Retrieval Augmented Generation (RAG) with LangChain

Read and Split Documents

Embed documents and store in the vector database

Retrieve documents and send as a context to the LLM

Demo RAG - Indexing

Demo RAG - Retrieval and Generation

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RAG Plus Memory

Adding chat history as context

Print of Response

Demo RAG Plus Memory and Tracing with LangSmith

Demo Evaluate Model using LangSmith

Chatbot Technical Architecture

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Deploy Chatbot to OCI Compute Instance (Virtual Machine)

Demo Deploy Chatbot to VM

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Deploy LangChain Application to Data Science as Model

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+ More Lessons

Course Design By

Nasscom & Wipro

Course Offered By

Croma Campus

Real

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inspiration

Abhishek

career upgrad

Upasana Singh

career upgrad

Shashank

career upgrad

Abhishek Rawat

career upgrad

Course Duration

50 Hrs.

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Weekday1 Hr/Day

Weekend2 Hr/Day

Training ModeClassroom/Online

Flexible Batches For You

19-Jul-2025*
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21-Jul-2025*
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MON - FRI
Mor | Aft | Eve - Slot

23-Jul-2025*
Weekday
MON - FRI
Mor | Aft | Eve - Slot

19-Jul-2025*
Weekend

SAT - SUN

Mor | Aft | Eve - Slot

21-Jul-2025*
Weekday

MON - FRI

Mor | Aft | Eve - Slot

23-Jul-2025*
Weekday

MON - FRI

Mor | Aft | Eve - Slot

Course Price :

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SELF ASSESSMENT

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Rating: 4.90

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