Generative AI Classes in Dadar

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

Learning curve for Generative AI

Master In Generative AI Course

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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

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Generative AI Course

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Dec 28 - Jan 3

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Jan 4 - Jan 10

1 sessions
05
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Jan 11 - Jan 17

1 sessions
12
Mon
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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:

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

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Course Content

About Advanced Generative 

The field of Artificial Intelligence has evolved dramatically over the past few years, but one domain that has completely reshaped the tech landscape is Generative AI. From content generation to automated design, synthetic data creation to intelligent media editing, Generative AI enables machines to mimic creativity and produce human-like outputs. As industries shift toward automation and hyper-personalization, the demand for professionals skilled in generative technologies is surging. At the heart of this wave in Mumbai lies a strategic hub—Dadar, now home to specialized and advanced Generative AI Classes.

Situated between the commercial bustle of South Mumbai and the tech-driven energy of central suburbs, Dadar is uniquely positioned for learners seeking access to advanced AI education while staying connected to industry. Known for its cultural roots and modern development, Dadar offers the perfect backdrop for innovation and technology-driven learning. Whether you're a student, tech professional, entrepreneur, or digital creator, enrolling in SevenMentor Training equips you with the expertise to build next-generation AI systems and experiences.
 

Why Dadar is Becoming a Generative AI Hotspot

Dadar has evolved far beyond its traditional role as a transport and cultural junction. It has embraced the rise of modern education, collaborative coworking spaces, and technology accelerators. With a rapidly growing network of digital startups, design agencies, and data-driven enterprises, the area is now seen as a rising nucleus for tech training. This makes Generative AI Classes in Mumbai particularly valuable—not only due to their academic quality but also due to their deep-rooted connection to the surrounding AI and digital ecosystem.

Unlike crowded IT clusters where courses may be overly general, Dadar’s educational approach is niche-focused and experience-driven. Students and professionals get to immerse themselves in localized learning environments that mirror real-world AI challenges. Plus, the availability of makerspaces, libraries, academic institutions, and corporate offices in the area means that learning outcomes are closely tied to industry expectations.
 

Generative AI: The Technology That Thinks, Writes, and Designs

Generative AI is not just another subset of machine learning—it's a paradigm shift in how we interact with machines and build intelligent systems. These models are capable of generating text, images, music, code, video, and even virtual environments. Powered by architectures like transformers, GANs (Generative Adversarial Networks), and diffusion models, they are behind everything from ChatGPT to Midjourney, DALL·E, Bard, Synthesia, and RunwayML.

What makes Generative AI different is its ability to create rather than just analyze. Businesses across sectors—healthcare, marketing, education, legal, gaming, architecture—are adopting these technologies to automate creativity, simulate decision-making, and enhance customer experiences. The Generative AI Training in Bombay reflects these real-world use cases by offering learners access to toolsets, platforms, and workflows that replicate what’s being used in global tech environments.
 

The Urban Innovation Advantage of Dadar

Dadar's urban infrastructure complements the technical aspirations of students and professionals alike. The proximity to major business districts like Lower Parel, Prabhadevi, and Matunga means learners from SevenMentor Institute can engage in internships, freelance work, or short-term projects with AI startups or digital content firms located nearby.

Moreover, educational programs in Dadar often collaborate with local tech communities, coding collectives, and innovation cells. Hackathons, open-mic AI talks, and AI showcase events are regularly hosted in this part of the city, allowing learners to connect theory with application. These networking opportunities foster collaborations, build confidence, and expose students to the diverse ways Generative AI is shaping industries.
 

An Experience-Driven Learning Approach

One of the most significant strengths of the Generative AI Course in Dadar is its practical orientation. Unlike legacy AI courses that rely heavily on theory, programs in Dadar emphasize hands-on experimentation. Learners get real experience working with tools like ChatGPT API, OpenAI Playground, Hugging Face Transformers, Diffusion Models, Stable Diffusion, and tools like RunwayML and Leonardo AI.

Projects revolve around building generative art engines, prompt-based story creators, AI-driven ad copy generators, virtual influencers, music composition systems, and more. The experience gained through this practical engagement allows learners to go beyond the basics and begin to build custom generative pipelines tailored to industry challenges.
 

Tools and Technologies at the Core

Modern Generative AI Classes in Dadar ensure that learners are trained on the most relevant and future-ready platforms. Whether it's text-based LLMs or multimodal models, learners gain hands-on access to a powerful tech stack that includes:

  • PyTorch, TensorFlow, JAX – For training and fine-tuning generative models
  • OpenAI GPT-4, ChatGPT, DALL·E, Whisper – For text, image, and audio generation
  • Hugging Face, LangChain, Pinecone – For model deployment and vector database integration
  • Stable Diffusion, Midjourney, Leonardo AI – For high-resolution image generation
  • RunwayML, ElevenLabs, Synthesia – For synthetic video and voice workflows
  • Google Colab Pro, AWS, Azure AI Studio – For scalable compute infrastructure
     

These tools help students go from concept to execution quickly and efficiently. Whether the focus is generative design, AI-assisted marketing, automated storytelling, or video synthesis, the course structure allows for diverse applications across verticals.
 

Focus on Generative Model Optimization and Deployment

Another defining trait of the Generative AI Training in Dadar is the importance placed on scalability and performance. As generative models become more powerful, their resource requirements also increase. Efficient training, fine-tuning, and deployment are crucial to real-world adoption. Dadar-based programs place significant emphasis on these areas.

Topics such as transfer learning, LoRA (Low-Rank Adaptation), quantization, pruning, and prompt-tuning techniques are explored deeply. Students are taught how to manage large models on limited compute, how to use APIs in cost-efficient ways, and how to evaluate generative outputs using human-in-the-loop feedback mechanisms. Cloud-native workflows are also introduced to help learners deploy applications in production environments.
 

Ethical Considerations and Responsible AI

As the influence of generative technologies expands, so does the conversation around ethics, copyright, misinformation, and algorithmic bias. Institutions offering Generative AI Classes in Dadar integrate modules on responsible AI development, including ethical design patterns, fairness constraints, transparency tools, and data privacy considerations.

Rather than avoiding these topics, the curriculum encourages open debates, case studies, and project-based assessments that test a learner’s ability to create ethical generative systems. Students are taught not only how to build but also when not to build, ensuring they understand both the creative potential and the societal impact of their innovations.
 

Real-Time Projects and Capstone Applications

Hands-on learning is taken to the next level with guided industry projects and peer collaborations. Students in Generative AI Classes in Dadar engage in diverse projects including:

  • AI content generation systems for social media agencies
  • Prompt-based illustration generators for comic design
  • Virtual brand ambassador creation for local D2C startups
  • Music generation and editing tools for musicians and podcasters
  • Automated website builders that use AI to generate design + content
  • Code auto-generators and AI assistants for tech teams
     

These portfolio-ready projects not only improve understanding but also allow students to demonstrate their skills in job interviews, client pitches, and freelance gigs. Every project is peer-reviewed and refined, enabling continuous learning through collaboration and feedback.

 

Online Generative AI Classes

For professionals with tight schedules or students unable to commute, the online Generative AI Course in Dadar offers a flexible and immersive solution. These programs maintain the rigor and industry relevance of their offline counterparts while providing the comfort of remote access. Learners benefit from live classes, community channels, prompt labs, real-world projects, recorded sessions, and one-on-one mentoring. The online format allows for weekend batches, self-paced labs, and global collaboration—making cutting-edge Generative AI training available to anyone, regardless of location.

 

Corporate Generative AI Training

Businesses today are rapidly integrating Generative AI into marketing, design, data analytics, customer service, and product development. The corporate Generative AI Training in Dadar is tailored for enterprises that want to enable their teams with AI-powered creativity. These training modules are designed around specific organizational use cases and delivered through workshops, hands-on bootcamps, and customized mentorship programs. From creating AI-powered dashboards to generating content at scale, corporate teams learn how to align Generative AI with business goals—effectively driving ROI and innovation simultaneously.

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.

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