Generative AI Course in Andheri

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
020 48904395

Start Today!

CONSULT WITH
OUR ADVISORS

  • Course & Curriculum Details
  • Flexible Learning Options
  • Affordable Learning
  • Enrollment Process
  • Career Guidance
  • Internship Opportunities
  • General Communication
  • Certification Benefits

Learning Curve for Generative AI

Learning curve for Generative AI

Master In Generative AI 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

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

BATCH SCHEDULE

Generative AI Course

Find Your Perfect Training Session

Dec 28 - Jan 3

2 sessions
28
Sun
Classroom/ Online
Weekend Batch
03
Sat
Classroom/ Online
Weekend Batch

Jan 4 - Jan 10

1 sessions
05
Mon
Classroom/ OnlineToday
Regular Batch

Jan 11 - Jan 17

1 sessions
12
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

No active project selected.

Transform Your Future with Elite Certification

Add Our Training Certificate In Your LinkedIn ProfileLinkedIn

Our industry-relevant certification equips you with essential skills required to succeed in a highly dynamic job market.

Join us and be part of over 50,000 successful certified graduates.

Student 1
Student 2
Student 3
Student 4
Student 5
Join 15,258 others learning today
Certificate Preview

KEY Features that Makes Us Better and Best FIT For You

Expert Trainers

Industry professionals with extensive experience to guide your learning journey.

Comprehensive Curriculum

In-depth courses designed to meet current industry standards and trends.

Hands-on Training

Real-world projects and practical sessions to enhance learning outcomes.

Flexible Schedules

Options for weekday, weekend, and online batches to suit your convenience.

Industry-Recognized Certifications

Globally accepted credentials to boost your career prospects.

State-of-the-Art Infrastructure

Modern facilities and tools for an engaging learning experience.

100% Placement Assistance

Dedicated support to help you secure your dream job.

Affordable Fees

Quality training at competitive prices with flexible payment options.

Lifetime Access to Learning Materials

Revisit course content anytime for continuous learning.

Personalized Attention

Small batch sizes for individualized mentoring and guidance.

Diverse Course Offerings

A wide range of programs in IT, business, design, and more.

Course Content

About Advanced Generative 

The rapid evolution of artificial intelligence has given rise to one of its most transformative branches: Generative AI. Capable of producing text, images, music, code, and entire virtual worlds, Generative AI is revolutionizing industries across the spectrum. As this technology becomes increasingly embedded in design, communication, content, and product development workflows, acquiring expertise in this domain is more than just an advantage—it is becoming a necessity. Generative AI Classes in Andheri are paving the way for individuals and organizations to keep up with this technological transformation.

Andheri, as a strategic location in Mumbai, has emerged as a prominent educational and professional hub. With its proximity to media houses, IT parks, tech startups, and corporate offices, Andheri serves as a fertile ground for AI innovation and implementation. This makes it an ideal location for enrolling in SevenMentor Training, where learners can tap into both academic instruction and practical, industry-connected learning experiences. These classes aim to empower participants with the technical fluency, creative mindset, and analytical skills required to build and deploy generative systems.
 

Why Andheri is a Prime Location for Generative AI Learning

Andheri boasts a unique mix of business dynamism and educational infrastructure. Being close to several corporate tech hubs, digital marketing firms, animation studios, and film production houses, it is well-positioned for the implementation of Generative AI in diverse use cases. Whether it's automating content creation for brands, generating digital characters in film, or crafting custom marketing campaigns using AI, the real-world potential of Generative AI is palpable in Andheri.

Participants of the Generative AI Course in Andheri benefit from this ecosystem by gaining exposure to hands-on tools, AI-driven content platforms, and collaboration opportunities with professionals in nearby industries. This allows learners to experience the impact of AI not just in theory but in practice, within sectors as varied as advertising, education, healthcare, and entertainment.
 

The Rise of Generative AI as a Core Industry Enabler

Generative AI is shifting the focus from human-instructed automation to machine-led creativity. Large Language Models (LLMs), Generative Adversarial Networks (GANs), and diffusion models form the backbone of many popular tools that are reshaping work across fields. From OpenAI's ChatGPT and DALL·E to Midjourney, Synthesia, and RunwayML, businesses are leveraging these tools for personalized content, digital assistants, marketing, synthetic voiceovers, and more.

Generative AI Training in Andheri focuses on helping learners understand these tools and the core technologies behind them. More importantly, it enables learners to integrate them into real-world pipelines such as product design, digital marketing, customer service, app development, and data visualization. This goes beyond the basics and encourages innovation, scalability, and the development of AI-first solutions.
 

Tech Infrastructure and Hands-On Ecosystem in Andheri

The urban fabric of Andheri is enriched with tech parks, coworking hubs, academic institutions, and startup accelerators, all of which are critical in facilitating high-quality technical training. Students attending SevenMentor Training can benefit from this synergy by participating in real-time projects, internship opportunities, and innovation challenges hosted in the area.

From AI-centric hackathons to collaborative AI art showcases, learners get more than classroom knowledge. They interact with peers, mentors, and industry leaders who are actively deploying Generative AI across creative and technical domains. Whether working on synthetic voice applications for podcasts or building AI-powered story generators for interactive media, students are encouraged to think beyond conventional AI use cases.
 

Immersive Learning with Real-Time Toolkits

Courses adopt a deeply immersive, tools-first pedagogy. Rather than focusing only on abstract theory, Generative AI Course in Andheri places a strong emphasis on applying what is learned to platforms used in professional environments. Learners engage with:

  • OpenAI (GPT-4, DALL·E, Whisper) for text, image, and audio generation
  • Midjourney, Leonardo AI, and Stable Diffusion for prompt-based image creation
  • Hugging Face Transformers, LangChain, and Pinecone for building end-to-end applications
  • RunwayML and ElevenLabs for video and voice synthesis
  • Google Colab Pro, AWS SageMaker, and Azure ML Studio for model development and deployment

Through continuous practice using these tools, learners are equipped to build workflows such as AI storyboarding for ad agencies, automated UI design engines, synthetic data generation tools for machine learning, and content generators for e-commerce brands.
 

Model Optimization and Deployment Techniques

A distinctive feature of the Generative AI Training in Bombay is its deep dive into model fine-tuning and deployment. Real-world applications require models that are not just accurate but also efficient and scalable. Learners are taught best practices in optimization including:

  • Low-Rank Adaptation (LoRA) for fine-tuning large models
  • Model quantization and pruning for resource efficiency
  • Prompt engineering and chaining for improving content quality
  • API integration for scalable deployment
  • Evaluation metrics and human-in-the-loop feedback mechanisms

This pragmatic approach ensures that participants are not only trained in creation but also in continuous improvement and governance of AI models.
 

AI Ethics and Responsible Deployment

As the capabilities of Generative AI continue to grow, so do the risks around its misuse. Copyright concerns, misinformation, model bias, and ethical AI deployment are important topics that are addressed during the Generative AI Classes in Andheri. Learners are trained to navigate these complexities by building ethical frameworks, leveraging bias-detection tools, and implementing privacy-by-design principles.

Workshops and discussions are organized around case studies involving deepfakes, synthetic media, and the societal impact of AI content. This instills a responsible mindset in learners and prepares them to take on leadership roles in AI governance, compliance, and product stewardship.
 

Community Engagement and Peer-to-Peer Learning

One of the most impactful aspects of Generative AI Classes in Mumbai is the opportunity to become part of a thriving AI community. The area hosts numerous tech meetups, AI clubs, and prompt engineering groups that encourage experimentation and collaboration. Learners are invited to take part in these communities, share their projects, test beta features, and participate in AI art showcases and prompt battles.

This collaborative spirit ensures that learners are constantly surrounded by new ideas, emerging tools, and evolving best practices. It also creates an excellent environment for networking, freelance opportunities, mentorship, and even AI startup incubation.
 

Portfolio Development and Capstone Projects

To ensure tangible learning outcomes, participants of the Generative AI Course in Andheri work on capstone projects and build individual portfolios. These are aligned with real-world use cases and may include:

  • Generative ad campaign engines for brands
  • AI-driven storytelling platforms for content creators
  • Music and podcast creation assistants
  • Fashion design prototyping tools
  • AI-generated video production pipelines
  • Personalized e-learning module generators

These projects not only enhance the learner's technical capabilities but also provide a robust foundation to present during client interactions, interviews, or startup pitches.
 

Lifelong Learning and Future Scope

Generative AI is not a static field. New models, frameworks, and architectures are emerging rapidly. Therefore, the Generative AI Training in Andheri is designed to support lifelong learning. Alumni often receive continued access to updated resources, new prompt libraries, and refresher sessions with instructors.

Participants are encouraged to stay updated through open research platforms, contribute to AI communities, and experiment with new tools as the field evolves. The goal is to build not just a skillset but a mindset that is aligned with constant innovation.

 

Online Generative AI Classes

For those who prefer the flexibility of remote learning, the online Generative AI Course in Andheri is a perfect alternative. With live sessions, hands-on labs, real-time chat support, downloadable toolkits, and mentorship from instructors, the online version provides the same depth as its in-person counterpart. Learners can attend from anywhere while gaining exposure to advanced AI concepts and project-based learning modules. This makes it ideal for working professionals and international students alike.

 

Corporate Generative AI Training

With businesses actively exploring AI adoption, the corporate Generative AI Training in Andheri is tailored for enterprises looking to upskill their workforce. Custom-designed programs are delivered through on-site workshops or remote intensives, focused on specific domains such as marketing automation, AI-based product development, generative content pipelines, or internal innovation labs. These corporate programs accelerate digital transformation by equipping teams with the tools and frameworks needed to harness AI-powered creativity at scale.

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.

Explore Other Demanding Courses

No courses available for the selected domain.