Generative AI in E-Commerce Course in Pune

feature-iconGenerative AI (Generative Artificial Intelligence) refers to a class of AI models that can create new content, such as text, images, audio, video, and even code.
feature-iconUnlike traditional AI, which primarily analyzes and classifies data, generative AI learns patterns from large datasets and generates new, human-like outputs based on that learning.
feature-iconSevenMentor has specialized trainers who educate you on Generative AI
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Learning Curve for Generative AI in E-Commerce

Learning curve for Generative AI in E-Commerce

Master In Generative AI in E-Commerce Course

OneCourseMultipleRoles

Empower your career with in-demand data skills and open doors to top-tier opportunities.

AI Research Scientist
AI Solutions Architect
Product Manager (AI/ML)
Deep Learning Specialist
AI Ethics Consultant
Data Scientist
Machine Learning Engineer
Computer Vision Engineer
NLP Engineer

Skills & Tools You'll Learn -

Pytorch iconPytorchA deep learning framework offering dynamic computation graphs and flexibility.
Microsoft Azure iconMicrosoft AzureExplore cloud computing with Microsoft Azure for hosting, deploying, and managing applications.
Flask iconFlaskFlask
Apache Spark iconApache SparkBig data processing engine for large-scale analytics and real-time processing.
Hadoop  iconHadoop Open-source framework for distributed storage and big data processing.
Docker  iconDocker A containerization platform that enables developers to package, distribute, and run applications in isolated environments.
Kubernetes  iconKubernetes A container orchestration system for automating deployment, scaling, and management of containerized applications.
AWS iconAWSAmazon Web Services, a cloud computing platform offering scalable infrastructure and services.
Kafka  iconKafka (Real-Time Data Streaming) – Enable real-time data ingestion, processing, and streaming with Apache Kafka.
Python  iconPython A versatile programming language widely used for data analysis and modeling.
SQL  iconSQL A database language for querying and managing structured data.
Matplotlib  iconMatplotlib A visualization library for creating charts and graphs.
Seaborn  iconSeaborn An advanced data visualization library built on Matplotlib.
Scikit-learn iconScikit-learnA machine learning library for predictive modeling and analysis.
TensorFlow  iconTensorFlow A framework for building and deploying deep learning models.
Power BI iconPower BIA business intelligence tool for data visualization and reporting.
Tableau  iconTableau A data visualization software for creating interactive dashboards.
FastAPI iconFastAPIA high-performance framework for building APIs in machine learning and AI applications.
Flink iconFlinkA framework for real-time stream and batch processing of data.
Google Cloud iconGoogle CloudA cloud platform providing computing, storage, and AI services.
Keras iconKerasA high-level deep learning API running on TensorFlow.
BERT iconBERTA transformer-based NLP model for contextual understanding of text.
GPT iconGPTA generative AI model for text-based applications like chatbots and content creation.
Hugging Face Transformers iconHugging Face TransformersA library for working with pre-trained NLP models like BERT and GPT.

Why Choose SevenMentor Generative AI in E-Commerce

Empowering Careers with Industry-Ready Skills.

Specialized Pocket Friendly Programs as per your requirements

Specialized Pocket Friendly Programs as per your requirements

Live Projects With Hands-on Experience

Live Projects With Hands-on Experience

Corporate Soft-skills & Personality Building Sessions

Corporate Soft-skills & Personality Building Sessions

Digital Online, Classroom, Hybrid Batches

Digital Online, Classroom, Hybrid Batches

Interview Calls Assistance & Mock Sessions

Interview Calls Assistance & Mock Sessions

1:1 Mentorship when required

1:1 Mentorship when required

Industry Experienced Trainers

Industry Experienced Trainers

Class Recordings for Missed Classes

Class Recordings for Missed Classes

1 Year FREE Repeat Option

1 Year FREE Repeat Option

Bonus Resources

Bonus Resources

Curriculum For Generative AI in E-Commerce

BATCH SCHEDULE

Generative AI in E-Commerce Course

Find Your Perfect Training Session

Aug 30 - Sep 5

1 session
05
Sat
Classroom/ Online
Weekend Batch

Sep 6 - Sep 12

2 sessions
06
Sun
Classroom/ Online
Weekend Batch
07
Mon
Classroom/ Online
Regular Batch

Sep 13 - Sep 19

1 session
14
Mon
Classroom/ Online
Regular Batch

Learning Comes Alive Through Hands-On PROJECTS!

Comprehensive Training Programs Designed to Elevate Your Career

Stock Price Prediction using LSTM:

Stock Price Prediction using LSTM:

Creating a Blog Writing Application (AI-Powered Blog Post)

Creating a Blog Writing Application (AI-Powered Blog Post)

Text Summarization Using NLP

Text Summarization Using NLP

Text Summarization Using LLM:

Text Summarization Using LLM:

Q&A Chatbot

Q&A Chatbot

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Course Content

Why Is Generative AI Causing a Revolution in the E-Commerce Industry of Today?

Instead of just dynamic, recommendations-based online shopping experiences, customers are increasingly presented with highly interactive, conversational ones. By participating in targeted Generative AI in E-Commerce classes in Pune, IT professionals as well as developers new to the field will acquire the necessary skills to implement a wide array of novel features for online shopping, ranging from personal recommendations over automated content generation to price adjustments and optimal search functionality.

Large Language Models (LLMs), agentic AI workflows, and multimodal systems are becoming core components of modern e-commerce architectures. As bounce rates continue to be a major pain point for online retailers and enterprises alike, and individualized product catalogs reach extreme scales, professionals with a Generative AI in E-Commerce training in Pune can tackle high-value problems in online retail.

  • Conversational Commerce & AI Shopping Assistants: Utilize Large Language Models (LLMs), fine-tuned on a retail domain, to build self-managing shopping assistants that can help shoppers buy complex products & services.
  • Automated Product Catalog Generation: Generation of SEO-optimized product descriptions, product attributes like color and size and product tags for unstructured product inventory.
  • Hyper-Personalized Recommendation Engines: Hyper personal e-commerce experiences are generated on the fly using user’s intent signals and creating custom landing pages, product bundles and visual lookbooks for them.
  • Visual Search & Virtual Try-Ons: Creating images and recognizing them using diffusion-based image generation and computer vision to allow customers to search for products by uploading photos as well as try on virtual products online.
  • Dynamic Pricing & Predictive Demand: With machine learning models, online prices are updated in real time based on demand elasticity, competitor prices and stock levels.


What Specific Skills and Tools Are Needed to Master GenAI for E-Commerce?

Building fully functional GenAI applications for retail requires a solid base in software engineering, data science and AI orchestration. Students of our structured generative AI in e-commerce classes in Pune will acquire in-depth knowledge of the core technical skills required to deliver on work assigned by companies globally, to power product startups, and to retail enterprises.

Generative AI in E-Commerce Course in Pune for hands-on learning of prompt engineering, model fine-tuning, vector database management and API integration for commercial use cases.

  • Programming & Core Frameworks: This section will introduce learners to the use of Python, PyTorch, and TensorFlow, along with knowledge of how to create REST/GraphQL APIs to connect endpoints of AI with the e-commerce backend.
  • Prompt Engineering & Orchestration: Advanced prompt architectures and their application with LangChain, LlamaIndex and Semantic Kernel to create shopping agent workflows.
  • Retrieval-Augmented Generation (RAG): Combining LLMs with your private product database, your real-time inventory and customer service documentation using vector databases like Pinecone, Milvus or ChromaDB.
  • Hands-on experience with various generative AI models, both open-source and proprietary—GPT-4o, Claude 3.5, Llama 3, Mistral, and Stable Diffusion to name a few—and generate images.
  • Model Fine-Tuning & Quantization: LoRA, QLoRA, Hugging Face and many more models, libraries and tools for domain-specific fine-tuning.
  • Vector Search & Embedding Generation: Transform your product catalog into high-dimensional vectors to enable applications such as semantic search and fast visual matching. We’ll use libraries such as Pinecone, Milvus or ChromaDB to achieve this.


What are career paths and salary trends in Generative AI for E-Commerce?

Artificial intelligence integrated into commerce platforms has generated enormous demand for specific engineering and architecture skills. As companies shift to commerce online, specifically in the Indian market of Pune, flexible generative AI in e-commerce online training will equip professionals with an edge to get placed in the best IT companies, retail technology startups and direct-to-consumer enterprises worldwide.

As a working professional or a recent computer science graduate, you can now utilize our generative AI in e-commerce online training in Pune and switch to higher-paying jobs as a technical expert in language model deployment and automation of end-to-end pipelines.


  • GenAI E-Commerce Engineer: The individual develops custom recommendations, fine-tunes LLMs on transactional store data and integrates APIs to enable GenAI in web applications such as e-commerce sites built on Shopify, Magento and WooCommerce.
  • AI Product Manager (Retail & Commerce)—Define product roadmaps for a smart search tool to automate the onboarding process of customers and to automatically classify the inventory of a store.
  • Prompt Engineer & Workflow Specialist: Creating structured prompt pipelines and guardrails for AI and workflows to safely automate customer service and content generation.
  • Computer Vision Engineer for E-commerce: Develops image-to-image models, background subtraction models and augmented reality (AR) models for try-on of clothing, shoes and home furnishings.
  • Enterprise AI Architect: This professional builds high-performance cloud infrastructure in AWS, Azure, and Google Cloud Platform to enable big, private foundation models used to process large volumes of retail transactions in large corporations.


How Can Non-Technical Professionals and Marketers Leverage GenAI in E-Commerce?

Generative AI is not confined to backend software developers of online shops. Marketers, copywriters, and store operators can utilize it for their daily work. Specialized training in generative AI in e-commerce will help bridge the big gap between the model and the application in online trade.

You can teach your whole team to create high-quality images, write original copy for their products and blog posts, and automate all their tasks with low-code generative AI in the E-Commerce Course in Pune.

  • Automated SEO Copywriting for E-commerce: Producing thousands of unique product descriptions, blog posts, and other metadata for different customer personas in minutes.
  • Visual Asset Creation at Scale: Creating high-end-looking images and ad banners for products in lifestyle settings, all generated by text-to-image generators and saved as needed for various campaigns.
  • Hyper Segmented E-mail Marketing: Uses AI to send highly customized marketing emails to each customer according to their browsing and purchasing behavior including abandonments.
  • Social Media Campaigns Automation: Creating content on social media (translated in local languages), videos and advertisement creatives for e-commerce marketing depending on current buying behavior of consumers.
  • Conversational AI Bot: Build No-code/Low Code Conversational AI Bot for dealing with queries pertaining to after-sales customer service, orders, returns, and much more!


What Real-world Projects Are Going To Help You Learn in Preparation for the Industry?

Implementation of projects in candidates’ portfolios is critical. Hence, e-commerce classes in Pune are delivered using industry-aligned generative AI, emphasizing project-based learning. Candidates can show their repositories to recruiters.

These e-commerce classes with generative AI in Pune have all the modern features to impart a full-stack AI development experience to the student. The student goes from dataset collection to cloud-based model monitoring.

Build an AI-Powered Retail Search Engine. This is a RAG-based search engine that uses vector embeddings to search for complex customer search intents beyond simple keyword searches.

  • Deploy a Virtual Stylist Assistant: Build an interactive conversational aid that suggests complete outfits based on customers' preferences, price range and occasion.
  • Automated Product Catalog Generator: Generate formatted HTML pages for an e-commerce supplier’s products from raw supplier images and product details in a Python script with Search Engine Optimization (SEO) for optimal search results.
  • Fine-Tune a Model for Brand Voice Product Descriptions: Train an Llama 3 model on your custom brand data to produce brand voice product descriptions.
  • Dynamic Cart Recovery Bot: Using LangChain build a conversational workflow that recovers abandoned shopping carts and offers customers relevant incentives while having a conversation.


How Does SevenMentor Empower You to Master These Essential IT & AI Technologies?

SevenMentor Institute understands the current emerging technologies and provides relevant training to bridge the gap between technology and industry. At SevenMentor Institute, we teach software engineering with a focus on data, cloud and enterprise applications and related architectures. Our structured modules teach key tools and frameworks to develop production quality applications.


Got Questions? Here Are Some FAQs

1. Who can enroll in the Generative AI in E-Commerce course?

Software developers, data science enthusiasts, digital marketers, product managers, and e-commerce entrepreneurs can use Generative AI in E-Commerce to build commercial applications of AI.

2. Are there any prerequisites for joining the Generative AI in E-Commerce training in Pune?

The foundation modules introduce the required technical skills, and even basic knowledge of Python or general programming is not required to complete the program

3. Does SevenMentor provide placement assistance after course completion?

Yes. We have dedicated placement team which helps students in getting job. They conduct mock interviews, help in writing resume and even schedule interviews with hiring companies.

4. What will be the tools and the frameworks used in the course?

We will learn to use Python, PyTorch, OpenAI APIs, LangChain, LlamaIndex, vector databases like Pinecone/ChromaDB and deployment frameworks like Docker and AWS to build e-commerce applications that use generative AI.

5. Does the class run for only working professionals or can we also schedule for online classes for working professionals?

Yes, we do offer flexible option of Live Interactive Online Sessions or Weekend Classroom Sessions for working professionals.


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Frequently Asked Questions

Everything you need to know about our revolutionary job platform

1

What would be an example of generative AI?

Ans:
Generative AI can be used to write a short tale in the style of a specific author, build a realistic image of an unknown person, compose a symphony in the style of a famous composer, or create a video clip from a basic textual description.
2

Is ChatGPT a generative artificial intelligence?

Ans:
Yes, ChatGPT is a model of generative artificial intelligence. It's a well-known example of generative AI, which refers to a large category of AI systems capable of creating new content.
3

What exactly is the purpose of generative AI?

Ans:
The Benefits, Use Cases, and Limitations of Generative AI Generative AI's primary job is to learn patterns from current data to generate new material, such as images, text, or data.
4

Is Alexa a type of generative AI?

Ans:
Alexa+, our next-generation assistant driven by generative AI, is more conversational, smarter, more personalised - and she gets things done. It is simpler to chat to, with more natural, free-flowing discussion, and aids in daily tasks, planning ahead, problem solving, and providing meaningful advice.
5

Who is suitable for generative artificial intelligence?

Ans:
Eligibility for courses. B.E. / B. Tech. / M.E. / M.Tech. / M.Sc. / MBA, or an equivalent master's degree with a minimum of 50% and one year of professional experience.
6

Is generative AI dependent on coding?

Ans:
Can I create a Generative AI model without coding? Building a model from scratch usually necessitates coding, although pre-built models can be customised with little coding.
7

Can a non-coder learn artificial intelligence (AI)?

Ans:
Yes, it is feasible to learn AI without learning to code! With so many different courses and resources available online, there are numerous methods for someone without a coding experience to get started on their AI journey.
8

Is math required for generative AI?

Ans:
The answer is unequivocally yes. Mathematics is more than just a supporting component of AI; it is essential. In this post, we'll look at the numerous ways maths underpins AI, the specific mathematical areas that are most essential, and how understanding these principles can help you work in AI.
9

How should I prepare for generative artificial intelligence (AI)?

Ans:
learning goals Understand the role of generative AI in artificial intelligence development. Understand language models and their importance in intelligent applications. Provide instances of Microsoft Copilot, agents, and useful prompts.
10

Is generative AI difficult to understand?

Ans:
Generative AI has demonstrated its potential in a variety of disciplines, ranging from text and image generation to realistic simulation. However, venturing into the area of generative AI presents its own set of hurdles, providing intricate puzzles to both seasoned practitioners and ambitious learners.
11

Can generative AI be learnt directly?

Ans:
Anyone with an interest in AI, regardless of background, can learn about Generative AI. It has recently gained popularity among developers, data scientists, engineers, and hobbyists interested in investigating innovative AI technology.
12

What are the potential applications for generative AI?

Ans:
revenue opportunities Developing a product Generative AI will allow businesses to develop new goods more quickly. These might include new medications, safer home cleaners, new flavours and scents, new metals, and faster and more accurate diagnoses.
13

What is the extent of generative AI?

Ans:
The capabilities of generative AI for security improve cybersecurity by detecting and reducing possible risks through anomaly detection. Gen AI speeds up natural language processing activities like translation and summarisation, promoting global communication.
14

What is generative AI in healthcare?

Ans:
Researchers are creating generative AI models to improve the quality of medical imaging, such as MRI scans. Models can be trained to detect noise—random variation of brightness or color—and provide a clean image, thereby boosting diagnostic accuracy.
15

Is natural language processing a subset of generative AI?

Ans:
While NLP provides tools for decoding and comprehending human language, Generative AI applies these insights to create new, contextually relevant material.