Generative AI Classes in Khapri

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

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

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Generative AI Course

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Jan 4 - Jan 10

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Jan 11 - Jan 17

1 sessions
12
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Jan 18 - Jan 24

1 sessions
19
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:

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KEY Features that Makes Us Better and Best FIT For You

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

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

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Course Content

About Generative AI Course

Generative Artificial Intelligence has emerged as one of the most groundbreaking innovations in modern computing, redefining the way machines understand, create, and simulate human-like outputs. From generating realistic text and images to composing music and enabling conversational AI, this technology stands at the core of the AI revolution. With organizations across industries actively adopting Generative AI solutions, there is a growing demand for skilled professionals who understand its technical depth and practical implementation. To address this growing requirement, Generative AI Classes in Khapri offered by SevenMentor provide learners with structured, hands-on, and industry-driven training to build expertise in this transformative field.

Khapri, which is well-known for its chances for professional and educational growth, has quickly adjusted to the technological change by providing cutting-edge artificial intelligence training. This program prepares students to manage real-world AI projects by exposing them to both theoretical ideas and practical applications. These schools' structured curricula not only expose students to the ideas of generative artificial intelligence (AI), but also give them the technical skills necessary to create solutions that push the limits of automation and creativity.


Understanding Generative AI

Generative AI is a specialized branch of Artificial Intelligence that focuses on creating new data instances resembling existing data. Unlike traditional AI models that only analyze and predict, generative models are capable of producing original and contextually relevant outputs. These outputs may be in the form of text, images, videos, audio, or even highly complex datasets. 

Students in Generative AI training in Khapri at SevenMentor are taught how Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer-based models such as GPT and BERT power modern generative applications. Understanding these architectures is crucial because they form the backbone of AI-driven creativity and enable innovation across multiple domains including healthcare, entertainment, design, software engineering, and business intelligence.


Importance of Learning Generative AI

The adoption of Generative AI has reached an exponential growth curve in industries ranging from e-commerce to finance. Professionals who are skilled in designing, training, and deploying generative models are positioned to lead the next wave of technological transformation. Learning Generative AI offers not just theoretical exposure but practical applications that can solve unique business challenges.

For instance, companies use generative AI to create realistic product prototypes, automate content creation, personalize user experiences, and even accelerate medical research. Learners from Generative AI Courses in Khapri at SevenMentor gain the ability to contribute to such advanced projects, giving them a competitive advantage in the job market. The industry is witnessing increasing demand for AI specialists, machine learning engineers, and research scientists, making this field a lucrative career option.


Curriculum of Generative AI Classes

The curriculum of Generative AI Classes in Khapri offered by SevenMentor is designed to balance foundational understanding with advanced implementation. Students begin by learning the principles of Artificial Intelligence and Machine Learning, gradually moving towards deep learning techniques that form the foundation for generative models.

A significant focus is placed on neural network architectures, activation functions, backpropagation, and optimization methods that power AI learning. Once these fundamentals are established, learners dive into generative techniques such as:

  • GANs: Understanding the adversarial training process between generator and discriminator models to produce realistic data.
     
  • Variational Autoencoders: Learning how probabilistic latent representations are used for generating structured outputs.
     
  • Transformer Models: Exploring large-scale architectures used in natural language processing and multimodal generative tasks.
     

The focus is on hands-on training sessions where students use frameworks such as Hugging Face, PyTorch, and TensorFlow to create these models. They obtain first-hand knowledge of data preprocessing, model training, fine-tuning, and assessment measures by working with real-world datasets. This all-encompassing method guarantees that students can optimise generative models for enterprise-level deployments in addition to being able to code them.


Hands-On Project Experience

One of the distinguishing features of Generative AI training in Khapri is the emphasis on project-based learning. Students are encouraged to work on practical projects that simulate real-world challenges. Projects may include generating realistic synthetic images, developing conversational agents, automating text summarization, creating voice synthesis applications, or producing AI-driven recommendation systems.

These assignments improve students' technical confidence, problem-solving abilities, and portfolios, which they can show prospective employers. Additionally, learners learn how to scale AI solutions to meet enterprise-level objectives, resolve ethical issues, and incorporate generative models into current IT infrastructures.


Career Opportunities in Generative AI

Generative AI has transformed into a domain offering extensive career opportunities. Upon completing Generative AI Courses in Khapri from SevenMentor, students can explore multiple career paths such as AI Engineer, Machine Learning Researcher, Data Scientist, and AI Solution Architect. With industries ranging from healthcare and finance to entertainment and education actively hiring AI professionals, the scope is wide and ever-expanding.

Generative AI expertise is not just about technical skills but also about applying creativity to develop solutions that were previously unimaginable. As AI becomes more embedded in organizational strategies, professionals trained in generative techniques are bound to play a central role in driving innovation and digital transformation.


Why Choose Khapri for Generative AI Training

Khapri has established itself as a hub for technology-driven education and training. Students who enroll in Generative AI Classes in Khapri benefit from a structured ecosystem of technical experts, mentors, and industry collaborations that make their learning journey more impactful.

Another major advantage is the availability of experienced faculty who bring practical industry knowledge to the classroom. By connecting academic learning with business applications, the training environment prepares students for real challenges. Furthermore, the infrastructure and digital tools provided in Khapri-based institutes ensure an immersive and interactive learning experience.


About SevenMentor 

Among the institutes available, SevenMentor the best training institute for Generative AI Training has established itself as a leader in delivering advanced AI education. With a reputation built on technical excellence, practical exposure, and a career-oriented approach, SevenMentor ensures that learners achieve mastery over generative technologies.

The institute emphasizes personalized mentorship, updated course material, and advanced lab facilities that give students a professional edge. By integrating industry-relevant projects into the curriculum, SevenMentor ensures that learners graduate with skills that are directly applicable in organizational settings. 


Advanced Tools and Frameworks

Technical training in Generative AI Courses in Khapri offered by SevenMentor includes exposure to the latest tools and frameworks that are essential for building modern AI systems. Students learn to work with TensorFlow and PyTorch for model training, Hugging Face for implementing transformer models, and specialized libraries for GAN and VAE applications.

The emphasis is also placed on cloud-based AI platforms that allow scalable deployments, making learners proficient in environments that are frequently used in corporate projects. Training on these tools ensures that students are not just theoretically prepared but also technically equipped to handle the demands of real-time AI systems.


Ethical and Responsible AI Training

Generative AI presents unique ethical challenges, including concerns about misinformation, deepfakes, and intellectual property. Generative AI training in Khapri at SevenMentor also focuses on responsible usage of these technologies. Learners are educated on AI ethics, bias mitigation strategies, and the implementation of secure AI systems.

Understanding these aspects is crucial for professionals who aim to build trustworthy and reliable AI solutions. By instilling ethical practices, the training ensures that students not only become skilled developers but also responsible contributors to society.


Industry-Relevant Training Approach

What makes Generative AI Classes in Khapri impactful is their industry-aligned approach. The training is not confined to academic learning but extends into preparing learners for practical challenges. Students gain insights from industry case studies, engage in collaborative projects, and participate in problem-solving sessions that reflect real-world enterprise demands. This approach bridges the gap between theoretical knowledge and practical application, ensuring that students graduate as job-ready professionals. 

SevenMentor’s Generative AI Classes in Khapri offer a structured, in-depth, and practical pathway to mastering generative technologies. With the right guidance and exposure, students from these programs can lead innovation in artificial intelligence applications across industries.

Among all educational providers, SevenMentor the best training institute for Generative AI Training ensures that learners not only acquire technical expertise but also develop the professional edge required to thrive in competitive markets. By combining academic rigor with hands-on exposure, SevenMentor creates an ideal platform for aspiring AI professionals.


Online Classes

SevenMentor offers robust online Generative AI Classes in Khapri that provides interactive sessions, live projects, and virtual lab environments that replicate the classroom experience. Students can access high-quality lectures, recorded materials, and direct mentorship from industry experts, all from the comfort of their home.

The online format is especially valuable for working professionals and students with location constraints, as it allows them to balance learning with their personal and professional commitments. With seamless integration of advanced digital tools, online training ensures that students receive the same depth of knowledge and project exposure as traditional classroom training.


Corporate Training

SevenMentor also offers corporate Generative AI Training in Khapri tailored to meet organizational needs, focusing on real-world applications relevant to specific business environments. Employees are trained on advanced AI tools, frameworks, and workflows that enhance productivity, innovation, and competitive advantage.

By partnering with SevenMentor, the best training institute for Generative AI Training, organizations gain access to customized training modules, expert-led sessions, and practical implementation strategies. This equips teams to leverage Generative AI for process optimization, product innovation, and future-ready business models, ensuring long-term growth in a rapidly evolving technological landscape.

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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