What is covered in the Generative AI Course in Gurgaon?

The course covers fundamentals of generative models, including GANs and VAEs, along with practical applications.

How can I benefit from the Generative AI Certification in Gurgaon?

The certification enhances your credentials and opens up career opportunities in various AI-driven fields.

What is the duration of the Generative AI Training in Gurgaon?

The training duration typically ranges from a few weeks to a few months, depending on the program.

Are there any prerequisites for joining the Generative AI Classes in Gurgaon?

Basic knowledge of programming and machine learning is recommended for enrolling in the classes.

Is the Generative AI Certification in Gurgaon recognized by employers?

Yes, the certification is widely recognized and valued by employers in the AI industry.

Do Generative AI Classes in Gurgaon include hands-on projects?

Yes, the classes emphasize practical, hands-on projects to ensure thorough understanding and skill application.

What is covered in the Generative AI Course in Gurgaon?

The course covers fundamentals of generative models, including GANs and VAEs, along with practical applications.

How can I benefit from the Generative AI Certification in Gurgaon?

The certification enhances your credentials and opens up career opportunities in various AI-driven fields.

What is the duration of the Generative AI Training in Gurgaon?

The training duration typically ranges from a few weeks to a few months, depending on the program.

Are there any prerequisites for joining the Generative AI Classes in Gurgaon?

Basic knowledge of programming and machine learning is recommended for enrolling in the classes.

Is the Generative AI Certification in Gurgaon recognized by employers?

Yes, the certification is widely recognized and valued by employers in the AI industry.

Do Generative AI Classes in Gurgaon include hands-on projects?

Yes, the classes emphasize practical, hands-on projects to ensure thorough understanding and skill application.

Generative AI Course in Gurgaon [Updated 2025] ✔️

Name: Generative AI Training Program
Item: Generative AI Training Program
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Join our Generative AI Course in Gurgaon and explore the world of Generative AI, blending creativity with advanced technology. This course covers the basics, uses, and hands-on applications of Generative AI. It is perfect for beginners and professionals who want to enhance their skills in this field.
Key Features of the Generative AI Course in Gurgaon:

Comprehensive Curriculum: Learn from a well-structured program that covers basic theories and practical application modules.

Practical Application: Work on real-world case studies and projects to apply what you have learned to solve complex problems.

Expert Guidance: Get insights and mentorship from industry experts who will guide you throughout the course.

Innovative Learning Resources: Access a variety of resources, including video lectures, interactive sessions, and supplementary materials.

Who Can Enroll in Generative AI Classes in Gurgaon:

AI Enthusiasts: Anyone eager to explore the exciting field of Generative AI and expand their knowledge.

AI Professionals: Those looking to improve their skills and dive deeper into Generative AI for better career opportunities.

Tech Innovators: People passionate about using AI creatively in different areas, from arts to technology.

Prerequisites for Generative AI Certification in Gurgaon:

Artificial Intelligence Basics: It is helpful to have some understanding of AI concepts and principles.

Programming Fundamentals: Basic programming skills will help you grasp the course content more easily.

Join our Generative AI Training in Gurgaon and become a part of the future of technology at a leading Generative AI Training Institute in Gurgaon.

The Generative AI Certification in Gurgaon aims to equip participants with comprehensive knowledge and hands-on experience in the field of generative artificial intelligence. Through the Generative AI Training in Gurgaon, attendees will learn to design, implement, and evaluate AI models that can generate new, meaningful data.
The course objectives include understanding the fundamentals of generative models, exploring various AI techniques such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders), and applying these methods to real-world scenarios.
By the end of the training, participants will have the skills necessary to create innovative AI solutions and leverage generative AI in diverse applications, enhancing their career prospects in this cutting-edge technology.

Fresh graduates who complete a Generative AI course in Gurgaon can expect starting salaries ranging from INR 6 to 10 lakhs per annum, depending on the industry and location. Top companies, especially in tech hubs like Bangalore, Hyderabad, and Gurgaon, often offer competitive packages, reflecting the high demand for AI skills.
As businesses increasingly adopt AI technologies, the need for skilled professionals continues to rise, providing lucrative opportunities for those entering the field.
With practical experience and proficiency in generative AI techniques, freshers can secure rewarding positions in various sectors such as IT, finance, healthcare, and e-commerce, setting a solid foundation for their career growth.

Completing Generative AI classes in Gurgaon opens up a wealth of career growth opportunities. With a strong foundation in generative AI techniques, professionals can leverage their skills in various high-demand industries, leading to significant career advancements.

Access to high-paying roles in tech giants and startups.

Opportunities for leadership positions in AI research and development.

Potential for rapid promotions and salary hikes.

Ability to work on cutting-edge AI projects across different sectors.

Enhanced job security in a rapidly evolving field.

Generative AI classes have gained immense popularity in Gurgaon due to the city's thriving tech ecosystem and the increasing demand for AI professionals. These classes offer comprehensive training that equips individuals with cutting-edge skills, making them highly sought after by employers.

Strong presence of tech companies and startups in Noida.

Access to industry experts and experienced trainers.

Focus on practical, hands-on learning and real-world applications.

High success rate of job placements post-completion.

Networking opportunities with professionals and peers in the AI field.

AI professionals play a critical role in developing, implementing, and optimizing artificial intelligence systems. Their responsibilities encompass a wide range of tasks to ensure the success and efficiency of AI projects.

Designing and developing AI models and algorithms.

Analysing large datasets to extract meaningful insights.

Collaborating with cross-functional teams to integrate AI solutions.

Continuously monitoring and refining AI systems for performance improvement.

Staying updated with the latest AI research and technological advancements.

Industries seeking Generative AI expertise include:

Technology: Driving innovation with AI-powered products and solutions.

Marketing and Advertising: Using AI to create personalized marketing campaigns.

Entertainment: Improving user engagement with AI-generated content.

Healthcare: Applying AI for predictive diagnostics and advanced research.

Art and Design: Merging AI with creative processes and digital artistry.

Participants receive a recognized certification validating their proficiency in Generative AI, enhancing career prospects in AI-driven industries. This certification can be applied for to validate your skills and be acknowledged by leading industries worldwide.

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CURRICULUM & PROJECTS

Generative AI Training Program

What is a Large Language Model

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Encoders and Decoders

Model Ontology

Encoders

Decoders

Encoders-Decoders

Architectures at a glance

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Affecting the distribution over Vocabulary

Prompting

Prompt Engineering

In-context Learning and Few-shot Prompting

Example Prompts

Advanced Prompting Strategies

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Prompt Injection

Memorization

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Training

Hardware Costs

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Decoding

Greedy Decoding

Non-Deterministic Decoding

Temperature

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Hallucination

Groundedness and Attributability

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Retrieval Augmented Generation

Code Models

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OCI Generative AI Service

How does OCI Generative AI service work

Pretrained Foundational Models

Fine-tuning

Dedicated AI Clusters

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Tokens

Pretrained Chat Models

Chat Model Parameters

Preamble Override

Temperature

Chat Model Parameters

Top k

Top p

Frequency and Presence Penalties

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Embeddings

Word Embeddings

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Prompt & Prompt Engineering

LLMs as next word predictors

Aligning LLMs to follow instructions

In-context Learning and Few-shot Prompting

Prompt Formats

Advanced Prompting Strategies

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Training LLMs from scratch with my data

In-context Learning / Few-shot Prompting

Fine-tuning a pretrained model

Fine-tuning Benefits

Retrieval Augmented Generation (RAG)

Customize LLMs with your data

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Fine-tuning and Inference

Fine-tuning workflow in OCI Generative AI

Inference workflow in OCI Generative AI

Dedicated AI Clusters

T-Few Fine-tuning

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Dedicated AI Cluster Units

Dedicated AI Cluster Units Sizing

Dedicated AI Clusters Sizing

Example Pricing

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Fine-tuning Configuration

Fine-tuning Parameters (T-Few)

Understanding Fine-tuning Results

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Dedicated GPU and RDMA Network

Model Endpoints

Customer Data and Model Isolation

Generative AI leverages OCI Security Services

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Retrieval Augmented Generation

RAG Framework

RAG Techniques

RAG Pipeline

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Chatbot Introduction

Demo Chatbot

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Chatbot Architecture

OCI Generative AI and LangChain Integration

LangChain Components

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LangChain Prompt, Model and Chain Interaction

LangChain Prompt Templates

String Prompt Template and PromptValue

Chat Prompt Template and PromptValue

LangChain Models

LangChain Models OCI Chat Models

LangChain Models OCI Embedding Models

LangChain Chains

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LangChain Memory

Memory

Memory Chat Messages

LangChain Memory Per User

Demo Memory

Demo Streamlitand Memory

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RAG with LangChain

Retrieval Augmented Generation (RAG) with LangChain

Read and Split Documents

Embed documents and store in the vector database

Retrieve documents and send as a context to the LLM

Demo RAG - Indexing

Demo RAG - Retrieval and Generation

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RAG Plus Memory

Adding chat history as context

Print of Response

Demo RAG Plus Memory and Tracing with LangSmith

Demo Evaluate Model using LangSmith

Chatbot Technical Architecture

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Deploy Chatbot to OCI Compute Instance (Virtual Machine)

Demo Deploy Chatbot to VM

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Deploy LangChain Application to Data Science as Model

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