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📄 Course Content
Generative AI Development Training in Pune
Build Intelligent Applications Powered by Large Language Models & Future-Ready AI
Generative AI – The Engine of Modern Digital Transformation
The modern world of businesses is no longer dealing with simple automation and analytics. They now need systems that are able to:
- Master the natural language.
- Produce human responses and reasoning.
- Enhance real-time data intelligence in decision accuracy.
- Build one-to-one online experiences (at scale).
- Automate manual processes.
- Smart support engineering and design.
- Enterprise-level GenAI applications are examples of:
- Artificial intelligence pilot of software teams.
- Smart business knowledge systems in the staff.
- Legal, policy and compliance documents automation through AI.
- AI creates generators of designs and product configuration.
- Omnichannel conversation systems and customer support automation.
- Self-driven data analytics and reporting systems.
These professionals are not only recruited, but become indispensable in the leadership of innovation, transformation and automation.
Overview of Generative AI Development Course in Pune
Generative AI is reimagining the technological landscape and is quickly turning into the engine that drives digital transformation in the business. Generative AI is helping organizations to create smarter, faster and more flexible solutions by creating conversational AI systems, intelligent content automation, multimodal design tools and autonomous reasoning engines. To assist professionals to navigate this new world of AI, Version IT offers the most extensive Generative AI Development Training in Pune, designed for those who would like to make a difference when it comes to AI applications and influence the future of product development.
Pune has become a significant focus of AI talent, and big MNCs, international R&D international centers, and product startups are actively pursuing GenAI functionality. Businesses now require talented engineers and technologists that are capable of automating processes with the ability to create smart assistants, improve business processes, and create custom AI that can think, learn and produce quality results. The programme also equips learners to respond to that need by offering practical training that is centered on practical engineering issues and enterprise implementation.
With this course, you can become an AI engineer, take your professional profile to the next level, become more proficient in technical knowledge, become more innovative as an entrepreneur, and get the skills you need to succeed in a practical environment.
Industry Use Cases Build and Analyze.
Students will learn real-life applications of AI in business in fields such as:
Industry | GenAI Use Cases |
Healthcare | Patient document summarization & clinical recommendation assistants |
BFSI | Automated underwriting, fraud reasoning & financial advisory systems |
Retail & E-Commerce | Generative product descriptions, demand analytics & recommendation engines |
Manufacturing | Quality prediction & intelligent design documentation |
IT Services | AI copilots for engineering knowledge and productivity |
Logistics | Route optimization and planning intelligence |
HR & Recruitment | AI resume matching & intelligent talent search platforms |
Why is Version IT so Special for Generative AI Development Training in Pune?
As opposed to conventional machine learning courses, this programme is designed in a manner that enables the learners to design, construct, refine, integrate, and deploy the Generative AI solutions in actual settings. Rather, it is focused on engineering experience.
Key Differentiators of our Generative AI Development Training in Pune:
- Real-world learning with real data and business processes.
- LLM practical development, RAG systems, customization and APIs.
- Training in a classroom with an instructor, and practical training in the lab.
- Learning format Hybrid learning format of working professionals.
- Interview preparation, career transition and placement.
- Premium capstone building projects.
- AI practitioners and industry architect mentoring.
This programme will turn the learners into problem solvers with the ability to design production-grade Generative AI systems to enterprises.
Who This Generative AI Development Online Training in Pune Is Designed For?
Our Generative AI Development Online Training in Pune is best suited to people who would like to acquire profound practical knowledge of Generative AI, such as:
- Software Developers, Full-Stack and Python Programmers.
- ML Engineers, NLP Specialists and Data Scientists.
- DevOps, Cloud and Automation Engineers that make LLMOps pipelines possible.
- Business Analysts & Innovation Leads, Product Managers.
- IT Professionals are going on in pursuit of a high-value career.
- Recent graduates seeking new AI-related jobs, students.
There is no real prerequisite of high mathematics–a sense of curiosity, commitment and basic knowledge of programming will suffice to initiate.
Generative AI Training Course Portfolio of Capstone Project.
The solutions who join our Generative AI Training Course in Pune can develop include:
- Artificial intelligence Technical Documentation KR.
- Robot Legal Policy Document Review System.
- Artificial Intelligence Digital Marketing and SEO Content Engine.
- Multimodal Multimedia Models based Generator of Interior and Product Design.
- Enterprise Context Retrieval Conversational Chatbot with RAG.
- Smart Data-driven Report Generator and Analysis Software.
These projects compose a good portfolio to be offered to the employers.
Tools and Technologies You will Master
OpenAI GPT | Gemini | Claude | Llama | Hugging Face | LangChain.
Vector DBs: FAISS, Pinecone, Chroma | streamlit | FastAPI
TensorFlow PyTorch Docker Kubernetes Git Cloud Deployment Tools.
Career Elevation Support and Placement
Version IT offers full service job support in case of career transition:
- Resume and LinkedIn branding to AI jobs.
- Simulated technical AI and ML interviews.
- Recruiting via alumni and recruiting associates.
- Presentation guidelines on projects in the industry.
Generative AI – The Engine of Modern Digital Transformation
The modern world of businesses is no longer dealing with simple automation and analytics. They now need systems that are able to:
- Master the natural language.
- Produce human responses and reasoning.
- Enhance real-time data intelligence in decision accuracy.
- Build one-to-one online experiences (at scale).
- Automate manual processes.
- Smart support engineering and design.
- Enterprise-level GenAI applications are examples of:
- Artificial intelligence pilot of software teams.
- Smart business knowledge systems in the staff.
- Legal, policy and compliance documents automation through AI.
- AI creates generators of designs and product configuration.
- Omnichannel conversation systems and customer support automation.
- Self-driven data analytics and reporting systems.
These professionals are not only recruited, but become indispensable in the leadership of innovation, transformation and automation.
Overview of Generative AI Development Course in Pune
Generative AI is reimagining the technological landscape and is quickly turning into the engine that drives digital transformation in the business. Generative AI is helping organizations to create smarter, faster and more flexible solutions by creating conversational AI systems, intelligent content automation, multimodal design tools and autonomous reasoning engines. To assist professionals to navigate this new world of AI, Version IT offers the most extensive Generative AI Development Training in Pune, designed for those who would like to make a difference when it comes to AI applications and influence the future of product development.
Pune has become a significant focus of AI talent, and big MNCs, international R&D international centers, and product startups are actively pursuing GenAI functionality. Businesses now require talented engineers and technologists that are capable of automating processes with the ability to create smart assistants, improve business processes, and create custom AI that can think, learn and produce quality results. The programme also equips learners to respond to that need by offering practical training that is centered on practical engineering issues and enterprise implementation.
With this course, you can become an AI engineer, take your professional profile to the next level, become more proficient in technical knowledge, become more innovative as an entrepreneur, and get the skills you need to succeed in a practical environment.
Industry Use Cases Build and Analyze.
Students will learn real-life applications of AI in business in fields such as:
Industry | GenAI Use Cases |
Healthcare | Patient document summarization & clinical recommendation assistants |
BFSI | Automated underwriting, fraud reasoning & financial advisory systems |
Retail & E-Commerce | Generative product descriptions, demand analytics & recommendation engines |
Manufacturing | Quality prediction & intelligent design documentation |
IT Services | AI copilots for engineering knowledge and productivity |
Logistics | Route optimization and planning intelligence |
HR & Recruitment | AI resume matching & intelligent talent search platforms |
Why is Version IT so Special for Generative AI Development Training in Pune?
As opposed to conventional machine learning courses, this programme is designed in a manner that enables the learners to design, construct, refine, integrate, and deploy the Generative AI solutions in actual settings. Rather, it is focused on engineering experience.
Key Differentiators of our Generative AI Development Training in Pune:
- Real-world learning with real data and business processes.
- LLM practical development, RAG systems, customization and APIs.
- Training in a classroom with an instructor, and practical training in the lab.
- Learning format Hybrid learning format of working professionals.
- Interview preparation, career transition and placement.
- Premium capstone building projects.
- AI practitioners and industry architect mentoring.
This programme will turn the learners into problem solvers with the ability to design production-grade Generative AI systems to enterprises.
Who This Generative AI Development Online Training in Pune Is Designed For?
Our Generative AI Development Online Training in Pune is best suited to people who would like to acquire profound practical knowledge of Generative AI, such as:
- Software Developers, Full-Stack and Python Programmers.
- ML Engineers, NLP Specialists and Data Scientists.
- DevOps, Cloud and Automation Engineers that make LLMOps pipelines possible.
- Business Analysts & Innovation Leads, Product Managers.
- IT Professionals are going on in pursuit of a high-value career.
- Recent graduates seeking new AI-related jobs, students.
There is no real prerequisite of high mathematics–a sense of curiosity, commitment and basic knowledge of programming will suffice to initiate.
Generative AI Training Course Portfolio of Capstone Project.
The solutions who join our Generative AI Training Course in Pune can develop include:
- Artificial intelligence Technical Documentation KR.
- Robot Legal Policy Document Review System.
- Artificial Intelligence Digital Marketing and SEO Content Engine.
- Multimodal Multimedia Models based Generator of Interior and Product Design.
- Enterprise Context Retrieval Conversational Chatbot with RAG.
- Smart Data-driven Report Generator and Analysis Software.
These projects compose a good portfolio to be offered to the employers.
Tools and Technologies You will Master
OpenAI GPT | Gemini | Claude | Llama | Hugging Face | LangChain.
Vector DBs: FAISS, Pinecone, Chroma | streamlit | FastAPI
TensorFlow PyTorch Docker Kubernetes Git Cloud Deployment Tools.
Career Elevation Support and Placement
Version IT offers full service job support in case of career transition:
- Resume and LinkedIn branding to AI jobs.
- Simulated technical AI and ML interviews.
- Recruiting via alumni and recruiting associates.
- Presentation guidelines on projects in the industry.
Topics You will Learn
● Introduction-What We will Learn In This Course
- Getting Started With Python
- Python Basics-Syntax
- Variables In Python
- Basics Data Types In Python
- Operators In Python
- Conditional Statements (if, elif, else)
- Loops
● Lists and List Comprehension
● Tuples
● Dictionaries
● Sets
● Getting Started With Functions
● Lambda Function In Python
● Map Function In Python
● Filter Functions In Python
● Import Modules And Packages
● Standard Libraries Overview
● File Operations With Python
● Working with File Paths
● Exception Handling With try except else and finally blocks
● Classes & Objects
● Single And Multiple Inheritance
● Polymorphism
● Encapsulation
● Abstraction
● Tokenization
● Text Pre-processing
○ Stemming
○ Lemmatization
○ Stopwords
● Text Vectorization
○ Bag Of Words
○ N Grams
○ TF-IDF
● Word Embeddings
○ Word2Vec
○ CBOW
○ Skip Grams
○ GloVe
● Parts Of Speech Tagging
● Named Entity Recognition
● Welcome to the module on DL
● Introduction to DL
● Understanding Deep Learning
What is a Neuron
● Activation Functions
● Step Function
● Linear Function
● Sigmoid Function
● TanH Function
● ReLU Function
● Backpropagation vs Forward Pass
● Gradient Descent
● ANN Intuition
● ANN (Hyper Parameter Optimization)
● Step By Step Training With ANN
○ Optimizer
○ Loss Functions
○ Finding Optimal Hidden Layers And Hidden Neurons In ANN
● RNN Forward Propagation with Time
● Simple RNN Backward Propagation
● Problems With RNN
● End to End Deep Learning Projects with Simple RNN
● Why LSTM
● LSTM Architecture
● Forget Gate In LSTM
● Input Gate And Candidate Memory In LSTM
● Output Gate In LSTM
● Training Process In LSTM
● Variants Of LSTM
● GRU RNN Indepth Intuition
● LSTM and GRU End to End Deep Learning Project
● Bidirectional RNN
○ Why To Use It?
○ Advantages & disadvantages
○ Applications
● Introduction to Encoders
● Encoder Architecture
● Introduction to BERT
● BERT Configurations
● BERT Fine Tuning
● BERT Pre Training (Masked LM)
● Input Embeddings BERT
● RoBERTa
● DistilBERT
● AlBERT
● Introduction to Decoders
● Decoder Architecture
● GPT Architecture
● GPT (Masked Multi Head Attention)
● GPT Training
● Encoder and Decoder
● Indepth Intuition oF Encoder & Decoder
● Sequence to Sequence Architecture
● Problems With Encoder and Decoder
● Seq2Seq Networks
● Attention Mechanism Architecture
● What and Why To Use Transformers
● Understanding The basic Architecture of Encoder
● Self Attention Layer Working
● Multi Head Attention
● Feed Forward Neural Network With Multi Head Attention
● Positional Encoding
● Layer Normalization
● Layer Normalization Examples
● Complete Encoder Transformer Architecture
● Decoder-Plan Of Action
● Decoder-Masked Multi Head Attention
● Encoder and Decoder Multi Head Attention
● Decoder Final Linear And Softmax Layer
● What is Generative AI- AI Vs ML Vs DL Vs Generative AI
● How Open AI ChatGPt or LLama3 LLM Models are trained
● Evolution of LLM Models
● All LLM Models Analysis
● Data Preprocessing
○ Cleaning
○ embeddings
● End to end Generative AI Pipeline
● Introduction to Large Language Models & its architecture
● In depth intuition of transformer – Attention all your need paper
● How ChatGPT is trained.
● Introduction to OpenAI
● What is OpenAI API and how to generate OpenAI API key?
● Local Environment Setup
● Hands on OpenAI – Chat completion API and Completion API
● Function Calling in OpenAI
● Project: Fine-tuning of GPT-3 model for text classification
● Project: Audio Transcript Translation with Whisper
● Project: Image generation with DALL-E
● Vector Databases
● Vector Index vs Vector Database
● How Vector db works
● Vector Database (Practicals)
● Complete Langchain Ecosystem
● Creating Virtual Environment
● Getting Started With Langchain And OpenAI
● Introduction & Installation and setup of langchain
● Prompt Templates in Langchain
● Chains in Langchain
● Langchain Agents and Tools
● Memory in Langchain
● Documents Loader in Langchain
● Multi-Dataframe Agents in Langchain
● How to use Hugging face Open Source LLM with Langchain
● Project: Interview Questions Creator Application
● Project: Custom Website Chatbot
● Introduction To Basic Components And Modules in Langchain
● Data Ingestion With Documents Loaders
● Text Splitting Techniques
○ Recursive Character Text Splitter
○ Character Text splitter
○ HTML Header Text Splitter
○ Recursive Json Splitter
● OpenAI Embedding
○ Ollama Embeddings
○ Huggingface Embeddings
● Introduction to open source LLMs – Llama
● How to use open source LLMs with Langchain
● Custom Website Chatbot using Open source LLMs
● Open Source LLMs – Falcon
● Introduction & Importance of RAG
● RAG Practical demo
● RAG Vs Fine-tuning
● Build a Q&A App with RAG using Gemini Pro and Langchain
● Retrieval Augmented Generation (RAG)
● What is fine tuning?
● Parameter Efficient Fine – Tuning
○ LoRA
○ OLoRA
○ Meta Llama 2 on Custom Data
● Introduction to LlamaIndex & end to tend Demo
● Project: Financial Stock Analysis using LlamaIndex
● How to Deploy Generative AI Application
○ Flask
○ AWS
