Generative AI in E-Commerce Course

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

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Generative AI in E-Commerce Course

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Aug 30 - Sep 5

1 session
05
Sat
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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 Completely Transforming the Global E-Commerce Landscape?

The way that individuals search and purchase online is constantly evolving. Gone are the days of basic product search followed by a click to complete checkout online. In order to remain competitive in today’s marketplace, e-commerce giants are transitioning from static online stores and are developing complex online ecosystems powered by AI. If you are a student, marketer, or tech enthusiast looking to transition into a career that is expected to experience high growth, consider joining a generative AI in e-commerce training program.

You will get familiar with the current tools that are changing the experience of online shopping as well as marketing and supply chain management of e-commerce companies on top e-commerce platforms like Amazon, Shopify, Magento, etc. in the courses about generative AI in e-commerce.

  • Hyper-Personalized Shopping Assistants: Online shopping assistants / chatbots that provide customers with the same level of individual product recommendations as they would receive from a human sales associate on the basis of their individual online shopping behavior.
  • Automated Product Catalog Management: Generation of complete and SEO-optimized product descriptions, tags and category pages within seconds.
  • Virtual Try-Ons & Visual Search: Utilize generative image & video AI models to enable customers to ‘try on’ products such as clothing, makeup, home furnishings, etc., and view them in real time before making a purchase online.
  • Dynamic Pricing Models: AI algorithms analyze competitors' offers, current market conditions and customers’ intent to optimize the company’s pricing in real time.
  • Intelligent Supply Chain Forecasting: Use AI in retail to forecast demand of your inventory, your warehouses, your transportation and even your retail stores. Prevent stockouts.
  • Automated Ad Copy & Design Generation: AI can automatically create ad copy and design different ad creatives, complete landing pages and email campaigns for different customer segments and channels.


What are the high paying jobs created after one learns how to apply generative AI to Online Retail?

By registering for a professional course on generative AI in e-commerce, you can now bridge the huge gap between learning to program or marketing online and being able to apply high-end technology in large enterprises. AI in commerce is a field that is experiencing a strong upsurge. The demand for experienced professionals is soaring.

Industry reports show that people with a specialized Generative AI in E-Commerce course have higher starting salaries and are promoted more quickly than digital marketers and web developers. A generative AI in an e-commerce online training program will help you learn to upgrade your current skill set and will also allow you to immediately apply what you have learned to build retail-related projects to add to your portfolio.

  • AI E-Commerce Solutions Architect: Designing large enterprise AI architectures to support features like product recommendation, site search, stock alerts and others.
  • Retail & Marketing Prompt Engineer: Write high-performing prompts to automatically generate product descriptions, retail ads & answers to customer questions in retail.
  • E-Commerce AI Product Manager: Manage the creation of features using AI in e-commerce shopping applications.
  • Personalization & Automation Specialist: Building customer segmentation workflows and building out dynamic content engines to drive sales conversions.
  • Retail Data & GenAI Developer: Customizes large language models (LLMs) and fine-tunes AI frameworks for individual merchants in e-commerce and builds tailor-made models and frameworks for their data.
  • Growth Marketing & AI Technologist: Applying data science to online marketing and generative AI to maximize return on customer acquisitions and to increase customer lifetime value.


Key Skills & AI Tools That You Will Master in This Generative AI in E-Commerce Course.

Most people are familiar with the flood of online courses teaching the theoretical background of e-commerce. However, acquiring practical expertise with commercial software and workflows is required to gain a competitive edge in this crowded online retailing space. The course “Generative AI in E-Commerce” trains students to build and run production-ready AI systems with the help of large language models.

This e-commerce training focuses on teaching students how to implement and fine-tune specific machine learning models and run large language models in e-commerce settings to solve specific problems. Students get hands-on experience with building and running specific applications and get live mentorship and guidance. At the end of the course, students complete a capstone project to demonstrate their skills to top technical recruiters.

  • LLM Fine-Tuning for E-commerce: GPT-4, Llama, and Claude fine-tuned for search in retail product catalogs as well as for customer service in a commerce context.
  • Prompt Engineering for Commerce: You will learn how to create contextual system prompts to get zero-shot/few-shot learning and to create structured output for automated content engines in commerce.
  • Diffusion & Generative Image Models: Utilize Midjourney, Stable Diffusion and DALL-E APIs to create extremely realistic images of products, ads and other e-commerce-related visual content.
  • RAG (Retrieval-Augmented Generation): Building of internal knowledge bases (e.g., of merchant inventories, product documentation, FAQs) that can be interacted with by search bots in conversational interfaces.
  • Automated Video Creation Tools: Leverage tools like Runway, HeyGen and Pika to automate the production of video ads and social media clips for your products.
  • We are teaching AI API Integration & Orchestration, using generative frameworks for e-commerce platforms on Shopify, WooCommerce and custom web applications using programming languages Python and LangChain.


How Does Generative AI Directly Increase E-Commerce Sales and Revenue?

Online retailers strive to maximize three key online sales metrics: customer’s acquisition price, conversion rate and average order value. Generative AI directly boosts all three by removing potential hurdles on the customer journey. Taking a generative AI in e-commerce classes helps marketers, product managers and developers to automatically implement measures to increase their conversion rates and, as a result, boost their bottom line.

Transform your career and start working for leading retail brands to change static landing pages into highly relevant online sales environments by taking flexible online courses about generative AI in e-commerce. Employers are actively looking for talented professionals that can convert AI into money for their business.

  • Contextual Conversational Upselling: AI-powered agents suggest additional products and services to customers in real-time conversations within chat windows instead of using static predefined rules.
  • Reduced Cart Abandonment: Enable the generation of extremely individualized email and even WhatsApp messages to resolve the customer’s reasons for not completing a purchase in real time.

  • Hyper-Localized Store Content: Translation and localization of product and campaign content on product, campaign and store levels (descriptions, messages, banners).
  • Real-Time Ad Optimization: Generate & test hundreds of ad creative versions to maximize click-through rates and return on ad spend (ROAS).
  • Instant Customer Support Resolution: Generate and automatically handle customer support chats, questions and messages to instantly answer the majority of customer inquiries, such as answering questions regarding order tracking, store return policies and assisting customers with determining their correct size.
  • Dynamic Landing Page Generation: This will teach you how to write copy and create full visual designs of landing pages for different traffic sources and target audiences.


Why Is Now the Best Time to Build a Career in Generative AI for E-Commerce?

The retail market is going through massive changes as online stores are maturing and early adopters of AI are getting ahead of traditional brands in search of technical talent to implement their strategies. Learning generative AI in e-commerce enables you to get into the middle of two markets that are rapidly growing and are expected to keep growing in the next years: global digital commerce and innovative AI technologies.

The end-to-end training in generative AI in e-commerce provides students with the competitive edge they need to succeed in the rapidly evolving digital commerce marketplace. As the global marketplace continues to experience exponential growth, generative AI in e-commerce training provides students with a unique roadmap to succeed as the field of digital retail continues to evolve.

  • The Talent Gap: Although many e-commerce companies plan to start to implement AI in the near future, there are not enough qualified and experienced professionals with the right hands-on skills for this new area of specialization.
  • Higher Compensation Packages: For retail digital businesses employing Certified Generative AI Specialists in Digital Retail, these team members can earn significantly higher salaries than Web Developers or Digital Marketing Professionals, often in excess of $100K.
  • Rapid Career Progression: Generative AI in E-Commerce is a recently introduced skillset. Therefore, there is a rapid career progression for skilled practitioners to become leads, architects, and managers.
  • The e-commerce space is a global one, and there are many remote opportunities to work as a digital retail specialist either on a freelance basis or as a full-time employee with companies from all around the world.
  • Entrepreneurial Launchpad: Generative AI is also a great way to build your own store and automate it. A founder of an online store can scale much faster then a founder of a physical store, all with very low overhead.
  • Future-Proof Skill Set: Generative AI skills are future-proof as more and more advanced models are developed over the next decade and beyond, and you have a solid foundation to work with.


How SevenMentor Integrates Core Technologies to Build Complete E-Commerce Solutions

Mastering the power of artificial intelligence in online retail is best done as part of a well-rounded study of the digital architecture of modern online retail stores. That means going beyond simply learning to issue AI-powered search queries and reading the resulting answers.

Generative AI in E-Commerce training at SevenMentor enables you to get familiar with the entire modern IT ecosystem and know how algorithms interact with databases of enterprises, cloud pipelines, and customer relationship systems to scale business end to end.


Got Questions? Here Are Some FAQs

1. What are the prerequisites for this Generative AI in E-Commerce course?

We do not expect our students to have a complex computer science background before joining the course. They should have some basic knowledge of digital marketing, e-commerce platforms and foundational programming concepts.The E-Commerce with Generative AI course starts with the basics of Generative AI and gradually increases the depth of knowledge.

2. What is the benefit of the E-Commerce with Generative AI course for digital marketers?

Generative AI in E-Commerce training will help the digital marketer to create and automate high-converting ad copy, rich visual assets, build and manage personalized customer messaging programs and optimize product catalogs to name a few.

3. Can I take this course while working full-time?

Yes, SevenMentor offers courses in Generative AI in E-Commerce with online training and weekend classes. Therefore, you can learn Generative AI in E-Commerce while working.

4. What real-world tools will I learn during the training?

The following tools will be practiced during the training – ChatGPT APIs, Midjourney, Stable Diffusion, LangChain, Python frameworks and RAG systems that have been modified to enable search in an ecommerce website and automation of customer service.

5. How does SevenMentor support students with placement assistance?

SevenMentor offers full support for Placement of candidates including Resume building, Portfolio building, Mock Interviews and Placement in job openings in respective Corporate partner companies.

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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.