Generative AI Training in Pune
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Learn Generative AI in Pune with practical, project-based training at 3RI Technologies. Understand how tools like GPT and modern AI models work, build real applications, and gain hands-on experience that helps students and professionals develop skills relevant to today’s AI-driven industry.
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We provide EMI facility for you
| EMI Plan | Registration | Percent |
|---|---|---|
|
EMI With 0% Interest |
On Registration |
10% |
|
1st installment – 1st month of joining |
70% |
|
|
2nd installment – 2nd month |
20% |
Key Features
Course Duration: 4 months
Project Based Learning
Certification & Job Assistance
Real-Time Projects : 4
EMI Option Available
24 x 7 Support
Free Career Counselling
Overview - Generative AI Training in Pune
Generative Artificial Intelligence is transforming how organizations build intelligent software, automate workflows, and generate content using data-driven models. As companies increasingly adopt large language models and AI-powered applications, the demand for professionals who understand how to implement and manage these technologies continues to grow.
The Generative AI training in Pune at 3RI Technologies is designed to help learners gain practical exposure to the technologies that power modern AI systems. Rather than focusing only on theoretical explanations, the training program emphasizes structured learning, guided hands-on practice, and real implementation scenarios.
The training introduces participants to the working principles of generative models, prompt engineering, AI application development, and the practical use of large language models in business environments. Through mentor-led sessions and project-based learning, students gradually develop the ability to work with modern AI tools and build intelligent applications.
This training is particularly suitable for learners who want practical experience working with Generative AI technologies in a structured training environment, supported by industry-experienced trainers and guided implementation exercises.
At 3RI Technologies, the Generative AI training program is designed using a structured learning methodology that combines concept explanation, practical demonstrations, and hands-on exercises. This approach allows learners to understand not only the theoretical foundation of AI models but also how these models are implemented in real-world applications.
The training methodology focuses on helping students build technical confidence through progressive learning stages. Each module introduces a concept, demonstrates its practical use, and then allows students to implement the same techniques through guided exercises.This structured methodology helps learners gradually transition from understanding theoretical AI principles to applying those principles in real development environments.
Training Element | Learning Approach |
Instructor-Led Concept Sessions | Trainers explain key Generative AI concepts and architecture using real-world examples |
Live Coding Demonstrations | Trainers implement AI workflows and models during the class session |
Guided Lab Practice | Students practice concepts during supervised lab sessions |
Practical Assignments | Exercises designed to strengthen understanding of AI tools and frameworks |
Project-Based Implementation | Development of AI-powered applications using real use cases |
Many learners begin exploring Generative AI through online tutorials, documentation, or recorded courses. While these resources provide introductory knowledge, they often lack structured mentorship, practical project guidance, and real-time problem solving.
Instructor-led training environments offer a more guided and interactive learning experience.Because Generative AI technologies evolve rapidly, structured training environments help learners understand not only how models work but also how these technologies are applied in practical software systems.
Self-Paced Courses | Training at 3RI Technologies |
Independent learning with limited guidance | Structured curriculum with trainer guidance |
Mostly theory-focused content | Practical demonstrations and live implementation |
Limited support during technical challenges | Immediate doubt resolution and mentor support |
Irregular learning progress | Structured learning schedule with defined modules |
Minimal real-world exposure | Practical exercises and project-based learning |
The training sessions at 3RI Technologies are conducted by experienced trainers who have practical exposure to artificial intelligence, machine learning frameworks, and modern development environments. Their industry experience allows them to provide insights beyond theoretical knowledge.
During the training program, trainers play an active role in guiding students through complex technical concepts and helping them understand how AI technologies are used in real development projects.
Trainer responsibilities during the course typically include:
- Explaining the working principles of generative models and AI architectures
- Demonstrating how AI frameworks and APIs are used in application development
- Guiding students during lab sessions and practical assignments
- Providing feedback during project implementation
- Sharing insights about real-world AI system development challenges
This mentorship-driven learning environment helps students develop a deeper understanding of AI technologies while building confidence in applying them in practical scenarios.
The training sessions follow a structured format that balances theoretical explanation with practical experimentation. Each class session is designed to gradually introduce new concepts while reinforcing previously learned topics.
A typical session may include the following stages:
Concept Introduction
The trainer introduces the topic for the session, explaining the theoretical foundation and how the concept is used in modern AI applications.
Practical Demonstration
The trainer demonstrates how the concept is implemented using code, tools, or AI frameworks, showing the step-by-step process used in real development workflows.
Hands-On Lab Practice
Students then implement the demonstrated concepts themselves through guided exercises, allowing them to gain practical experience working with AI tools.
Mini Assignments or Challenges
Short assignments are provided to reinforce learning and help students practice applying the concept independently.
Discussion and Doubt Resolution
The session concludes with discussions where students can clarify technical questions and review implementation challenges.
This structured session format helps learners gain both conceptual clarity and practical implementation skills.
One of the most important aspects of Generative AI training is the opportunity to work on practical projects that simulate real-world AI applications. Project-based learning helps students understand how AI systems interact with user inputs, datasets, and application environments.
During the training program, learners may explore projects that demonstrate common Generative AI use cases.
Examples of project-based learning activities may include:
- Development of AI-powered conversational chatbots
- Building automated document summarization systems
- Creating content generation tools using large language models
- Implementing AI-driven workflow automation solutions
Working on these projects helps students understand how AI technologies are integrated into modern software systems and how generative models are used to automate tasks and enhance digital experiences.
To support learners from different backgrounds, the Generative AI training program at 3RI Technologies in Pune is offered through multiple learning schedules.
These flexible options allow students and professionals to choose a training format that aligns with their availability and learning preferences.
Training Mode | Suitable For |
Weekday Classroom Batches | Students and fresh graduates |
Weekend Batches | Working professionals |
Online Instructor-Led Training | Remote learners |
Hybrid Learning Options | Learners who prefer flexible attendance |
This flexibility ensures that participants can continue their professional or academic commitments while gaining practical AI training.
The training environment at 3RI Technologies is designed to support collaborative learning and technical experimentation. Students have the opportunity to interact with trainers and peers while working on exercises, assignments, and AI-based projects.
The institute focuses on creating a structured learning ecosystem where students receive continuous guidance during practical sessions and project implementation stages. This approach helps learners gradually develop technical confidence while working with emerging technologies such as Generative AI.
Through consistent mentorship and guided practice, students gain a clearer understanding of how artificial intelligence systems are developed and applied in real-world environments.
Generative AI training in Pune can benefit individuals who want to explore modern artificial intelligence technologies and understand how AI-powered applications are built.
The training program may be particularly relevant for:
- Computer science and IT students exploring AI technologies
- Software developers interested in AI-powered application development
- Data science learners expanding their knowledge into Generative AI
- Professionals interested in automation and intelligent systems
By combining conceptual understanding with practical exercises, the training helps participants build the foundational knowledge required to explore advanced AI development paths.
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Prerequisite
Who can apply for this program?
- Graduates who want to become Generative AI engineer.
- BE / BTech / MCA passed aspirants to make their career in Generative AI.
- IT-Professionals who want to get career in Generative AI.
- Professionals from non-IT bkg, and want to establish in IT.
- Candidate who would like to restart their career after a gap.
- Infrastructure Management candidates for next level of their career.
Syllabus- Generative AI Course in Pune
The detailed syllabus is designed for freshers as well as working professionals
Decade Years Legacy of Excellence | Multiple Cities | Manifold Campuses | Global Career Offers
- Explore Artificial Intelligence (AI) and its core pillars: Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), and Reinforcement Learning (RL).
- Trace the history and evolution of AI.
- Discover transformative AI applications in industries like finance, healthcare, and retail.
- Understand the future potential of AI and its role in reshaping technology.
1. Introduction to Python
- Python Installation and setting up your Environment
- Get familiar with various Integrated Development Environments (IDEs) such as IDLE, PyCharm
- Start Python programming by learning to code in an interactive shell.
- Start programming on an interactive shell.
- Python Identifiers, Keywords
- Access Command line arguments within programs.
2. Conditional Statement, Loops and File Handling
- Python Data Types and Variable Condition and Loops in Python Python Modules & Packages
- Python Files and Directories manipulations
- Use various files and directory functions for OS operations
3. Python Core Objects and Functions Built in modules (Library Functions) Numeric and Math’s Module
- String/List/Dictionaries/Tuple
- Complex Data structures in Python Python built in function
- Python user defined functions
- The anonymous Functions – Lambda Functions
- Decorators
- Iterators and Iterable Generators
- Yield keyword
- Iterators Generators Difference
4. Modules & Packages
- Modules
- How to import a module…?
- Packages
- How to create packages
5. Data Manipulation with Pandas
- Data Frames Series
- Creating Pandas DataFrame Selection in DFs
- Data Describe Data info
- Retrieving in DFs
- Reshaping the DFs – Pivot Combining DFs
- Merge
- Concatenation
6. Introduction to NumPy
- Array Operations Arrays Functions
- Array Mathematics
- Mean
- Standard Deviation Max
- Min
- Array Manipulation
- Reshaping
- Resizing
- Random function
- Transpose
7. Visualization with Matplotlib
- Matplotlib Installation
- Matplotlib Basic Plots & it’ s Containers
- Matplotlib components and properties
- Scatter plots Histograms
- Bar Graphs Pie Charts Box Plots
1. Introduction to NLP, Text Preprocessing Methods
- Normalization
- Tokenization
- Stopword Removal
- Stemming & Lemmatization
2. Linguistic and Semantic Analysis
- Part-of-Speech (POS) Tagging
- Named Entity Recognition (NER)
- Sentiment Analysis
3. Text Vectorization Techniques
- Bag of Words (BoW)
- TF-IDF
4. Hands-on NLP Implementation
- Industry-standard library usage:
- spaCy for pipeline construction
- Hugging Face Datasets for model training/evaluation
1.Transformer Architecture Deep Dive
- Self-attention mechanisms
- Encoder-decoder structure
- Foundation models: BERT (bidirectional), GPT (autoregressive), and LLM variants
2. LLM Training Lifecycle
- Pretraining objectives
- Tokenization strategies: Byte-Pair Encoding (BPE), WordPiece and Embedding
- Fine-tuning overview
3. Prompt Engineering Mastery
- Zero-shot, few-shot, and chain-of- thought prompting
- Role-based prompting and persona injection
- Prompt optimization: iterative refinement, constraint specification, and output formatting
4. Hands-on Model Deployment
- Hugging Face Transformers
- Loading pretrained models and tokenizers
- Text generation with controllable parameters (temperature, top- k/p)
- OpenAI API integration:
- Request construction, response parsing, and cost management
- Safety filters and output validation
5. Application Development
- Build task-specific agents: summarizers, classifiers, and content generators
- Evaluate outputs for coherence, factual accuracy, and bias mitigation
1.RAG Architecture Fundamentals
- Workflow: retrieval → context injection → generation
- Advantages over pure LLM inference for domain-specific tasks
2. Embedding & Similarity Search
- Dense text embeddings (e.g., Sentence-BERT, E5)
- Vector similarity metrics: cosine, Euclidean, dot product
- Approximate nearest neighbor search algorithms
3. Document Processing Pipeline
- Data ingestion from diverse sources (PDFs, CSVs, web content)
- Chunking strategies: fixed-size, semantic, and overlap handling
- Metadata enrichment for filtered retrieval
4. Vector Database Implementation
- FAISS for efficient in-memory indexing
- ChromaDB for persistent, metadata- aware storage
- Index optimization and hybrid search (keyword + semantic)
5. Knowledge Bot Development
- Query parsing and intent recognition Context injection techniques:
- Response generation with citation and source attribution
6. RAG System Enhancement
- Query augmentation and expansion
- Re-ranking retrieved results for relevance
- Evaluation frameworks
1.Multimodal AI Foundations
- Multimodal datatypes: text, images, audio, video—and their fusion challenges
2. Key Multimodal Architectures
- CLIP: contrastive image-text pretraining
- BLIP: bootstrapped language-image pretraining for captioning
- Gemini and other unified multimodal foundation models
3. Multimodal Embeddings and Alignment
- Image-text embedding alignment
- Cross-modal similarity search and retrieval
4. Multimodal Application Development
- Image captioning and visual question answering (VQA)
- Multimodal chatbots with vision capabilities
5. Learn Real-World Use Cases
- Customer support automation with visual context
- Content creation: text-to-image generation, video description
1.Multi-Agent System Fundamentals
- Agent definition: autonomy, goals, and environmental interaction
- Collaborative vs. competitive agent architectures
2. Agent Design Principles
- Role specialization and responsibility assignment
- Task decomposition and planning
- Agent Communication protocols
3. Multi-Agent Workflow Orchestration Patterns
- Sequential workflows
- Parallel workflows
- Dynamic routing based on task complexity and agent capability
4. Agent Frameworks & Tooling
- LangGraph for stateful, cyclic agent workflows
- Microsoft AutoGen for conversational agent teams
- Task Automation
5. Advanced Orchestration – Multi-Agent Control Plane (MCP):
- Centralized coordination and scheduling
- Scalable deployment across compute resources
- Resource allocation and load balancing
6. End-to-End Automation
- Build autonomous systems for research, coding, and business process automation
- Monitor agent performance, handle
- failures, and enable self-correction
- Master SQL for data querying and management.
- Design REST APIs using FastAPI or Flask.
- Introduction to Git & Distributed Version Control
- Life Cycle
- Create clone & commit Operations
- Push & Update Operations
- Stash, Move, Rename & Delete Operations.
- Explore model monitoring, data drift, and LLMOps with tools like LangSmith,
MLflow, and Evidently. - Apply AI to domains like finance (fraud detection), healthcare (patient
chatbots), insurance (claim processing), HR (resume parsing), government
(policy summarization), airlines (customer service), and manufacturing (defect
detection).
- Showcase a full-stack Generative AI Capstone Project tailored to a real-world problem.
- Receive personalized feedback from mentors.
- Explore career paths like Prompt Engineer, GenAI App Developer, or AI Consultant.
- Join an exclusive GenAI alumni community for ongoing support.
- Tools & Frameworks: Python, SQL, Pandas, NumPy, Hugging Face, spaCy, LangChain, OpenAI, FastAPI, Streamlit, LangGraph, AutoGen, MLflow, Azure, Docker, and more.
- Mini Projects: Build a Resume Analyzer, PDF Q&A Bot, and Customer Support Assistant.
- Real-World Case Studies: Apply AI to finance, healthcare, insurance, HR, airlines, manufacturing, and government.
- What You’ll Receive: Weekly assignments, private GitHub access, mini project walkthroughs, a course completion certificate, career guidance, and exclusive alumni community access.
Course Highlights
Live sessions across 6 months
Industry Projects and Case Studies
24*7 Support
Project Work & Case Studies
Validate your skills and knowledge
Validate your skills and knowledge by working on industry-based projects that includes significant real-time use cases.
Gain hands-on expertize
Gain hands-on expertize in Top IT skills and become industry-ready after completing our project works and assessments.
Latest Industry Standards
Our projects are perfectly aligned with the modules given in the curriculum and they are picked up based on latest industry standards.
Get Noticed by top industries
Add some meaningful project works in your resume, get noticed by top industries and start earning huge salary lumps right away.
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Frequently Asked Questions – Generative AI Training in Pune
Most frequent questions and answers
Generative AI refers to artificial intelligence systems that can create content such as text, images, code, and data insights. The Generative AI Training in Pune at 3RI Technologies helps students understand how these systems work using real tools and practical projects. The training focuses on applied learning so students can understand how businesses are using AI in real workflows.
The Gen AI Training in Pune at 3RI Technologies covers Large Language Models (LLMs), prompt engineering, AI automation workflows, and generative AI application development. Students also learn how to work with modern AI tools and APIs while building practical projects that demonstrate how AI systems are used in industry environments.
An LLM (Large Language Model) is a deep learning model trained on large datasets to understand and generate human language. In the Generative AI Training at 3RI Technologies, students learn how models like GPT, Claude, and Gemini work, along with concepts such as prompt engineering, embeddings, and AI application integration.
Yes. After completing the Generative AI Training at 3RI Technologies, students receive a certification validating their knowledge of prompt engineering, LLM concepts, and generative AI workflows. This Gen AI certification can be added to resumes and LinkedIn profiles to showcase practical AI skills to recruiters.
The Gen AI courses in Pune fees at 3RI Technologies depend on factors such as training format, project modules, and learning support included in the program. The course fee typically covers live instructor-led sessions, project work, learning resources, and certification, providing structured learning for students and professionals.
Yes. The Artificial Intelligence course in Pune with placement support at 3RI Technologies includes career guidance such as resume preparation, mock interviews, and portfolio development. These activities help students prepare for AI-related roles by demonstrating their practical project experience and technical understanding.
Yes. 3RI Technologies offers AI classes in Pune offline for students who prefer classroom learning. Offline sessions allow learners to interact directly with trainers, participate in live project discussions, and receive in-person guidance while working on generative AI assignments and exercises.
Yes. 3RI Technologies also offers Gen AI Training online through live instructor-led sessions. Online students receive access to recorded lectures, LMS learning materials, and mentor support so they can continue practicing projects and revising concepts even after the live sessions.
Yes. Prompt Engineering training in Pune is a key part of the Generative AI course at 3RI Technologies. Students learn how prompts influence AI outputs and how to design effective prompts for LLM tools used in chatbots, automation workflows, and AI-based applications.
3RI Technologies is a GenAI Training institute in Pune that focuses on practical learning through projects, mentor guidance, and real AI tools. The training approach emphasizes understanding how generative AI systems work in real applications rather than only studying theoretical concepts.
Yes, the training integrates business-oriented case studies. Students gain a better understanding of how generative AI is used in actual business settings due to these exercises. Practical problem-solving is the main focus.
Yes, 3RI Technologies offers classroom training in Pune. Hybrid learning options are also available for flexible participation. The format that works best for them can be selected by the students.
Periodically, the curriculum is examined and updated to take consideration new developments in AI technology. Industry trends and employer requirements are considered while refining modules.
Yes, working professionals are included in the program’s design. Learning and work obligations can be balanced with the use of set times and flexible batch scheduling.
Yes, students learn the fundamentals of integrating and deploying AI models into applications. This ensures understanding beyond model building and into practical implementation.
The program emphasizes practical exposure, structured mentorship, and career-focused preparation. The goal is skill development aligned with real industry expectations.
Yes, students complete multiple projects and assignments.These can be used in interviews or portfolios. Portfolio development is encouraged throughout the training.
Generative AI is increasingly adopted across industries for automation and intelligent systems. Learning these skills positions students for emerging AI-driven roles.
You can connect with the 3RI Technologies counseling team for batch details and enrollment guidance. They will provide complete information about schedules and next steps.
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Pune is considered a student’s Paradise
Queen of the Deccan or Oxford of the East, Pune is known by various names because of its wonders. And why not? Most of the top universities and professional courses are established here. It is counted as the second-largest IT hub in India. Having a population of about 5.05 million, Pune is a livable city witnessing a peaceful and beautiful aura. Being a charming fusion of contemporary and traditional, Pune experiences several tourist attractions yearly.
Some of the most visited attractions of Pune are:
- Sinhagad Fort
- Shaniwar Wada
- BAPS Swaminarayan Temple
- Aga Khan Palace
- Saras Bag
- Pashan Lake
- Khadakwasla Dam
Undoubtedly, Pune is considered a student’s paradise and continuously sees growth. Students from all over India show interest in enrolling in different courses offered by various organizations.
The great job opportunities, fantastic weather, and unsurpassed education make this place the best. Savitribai Phule Pune University, run by women only, is now positioned in 9th among the top 10 universities in India. This clearly shows the rich legacy of Pune and why students prefer to come here for their bright future.
Pune offers over 800 colleges that cover over 400-course programs in numerous disciplines. It’s not just the University of Pune; other universities and private institutions offer multiple courses. For every reason, Pune provides everything to prospective students so that they can see their bright future ahead.
3RI Technologies is a world-renowned institute offering Software Development courses to aspiring professionals. Our course helps you in mastering Cloud Computing, Web Technologies, AI, and machine learning technologies. You will get hands-on experience to get a clear idea.
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