Course Design By
Nasscom & Wipro
Home /Generative & Agentic AI/ Generative AI Course in Noida
Gain In-Depth Knowledge of Generative AI and Stand Out as a Global IT Professional.
In collaboration with
50 Hrs.
Duration
Online/Offline
Format
LMS
Life Time Access
we train you to get hired.
Gain in-depth understanding of generative AI concepts.
Develop practical skills to design and implement AI solutions.
Work on real-world projects for hands-on experience.
Prepare for Generative AI Certification in Noida to meet industry standards.
Ability to transition into specialized AI roles in various industries.
Higher chances of securing positions in prestigious AI labs.
Opportunities for continuous learning and professional certifications.
Potential to lead innovative AI projects and teams.
Recognition as a subject matter expert in generative AI.
Availability of state-of-the-art training facilities.
Collaboration with leading AI research institutions.
Courses designed to meet the latest industry standards.
Opportunities for internships and live projects with local companies.
Supportive learning environment with a focus on innovation.
Designing end-to-end AI solutions from conception to deployment.
Validating AI models through rigorous testing and experimentation.
Integrating AI technologies with existing business processes and systems.
Maintaining documentation and reporting on AI project progress and outcomes.
Engaging in continuous learning to enhance AI methodologies and practices.
Technology: Innovating with AI-based products and solutions.
Marketing and Advertising: Utilizing AI for customized marketing campaigns.
Entertainment: Elevating user experiences with AI-generated media.
Healthcare: Employing AI for predictive diagnostics and research advancements.
Art and Design: Blending AI with creative projects and digital artwork.
we train you to get hired.
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What is a Large Language Model
Encoders and Decoders
Model Ontology
Encoders
Decoders
Encoders-Decoders
Architectures at a glance
Affecting the distribution over Vocabulary
Affecting the distribution over Vocabulary
Prompting
Prompt Engineering
In-context Learning and Few-shot Prompting
Example Prompts
Advanced Prompting Strategies
Prompt Injection
Memorization
Training
Hardware Costs
Decoding
Greedy Decoding
Non-Deterministic Decoding
Temperature
Hallucination
Groundedness and Attributability
Retrieval Augmented Generation
Code Models
OCI Generative AI Service
How does OCI Generative AI service work
Pretrained Foundational Models
Fine-tuning
Dedicated AI Clusters
Tokens
Pretrained Chat Models
Chat Model Parameters
Preamble Override
Temperature
Chat Model Parameters
Top k
Top p
Frequency and Presence Penalties
Embeddings
Word Embeddings
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
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
Fine-tuning and Inference
Fine-tuning workflow in OCI Generative AI
Inference workflow in OCI Generative AI
Dedicated AI Clusters
T-Few Fine-tuning
Dedicated AI Cluster Units
Dedicated AI Cluster Units Sizing
Dedicated AI Clusters Sizing
Example Pricing
Fine-tuning Configuration
Fine-tuning Parameters (T-Few)
Understanding Fine-tuning Results
Dedicated GPU and RDMA Network
Model Endpoints
Customer Data and Model Isolation
Generative AI leverages OCI Security Services
Retrieval Augmented Generation
RAG Framework
RAG Techniques
RAG Pipeline
Chatbot Introduction
Demo Chatbot
Chatbot Architecture
OCI Generative AI and LangChain Integration
LangChain Components
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
LangChain Chains
LangChain Memory
Memory
Memory Chat Messages
LangChain Memory Per User
Demo Memory
Demo Streamlitand Memory
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
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
Deploy Chatbot to OCI Compute Instance (Virtual Machine)
Demo Deploy Chatbot to VM
Deploy LangChain Application to Data Science as Model
+ More Lessons
Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
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27-Sep-2025*
29-Sep-2025*
01-Oct-2025*
27-Sep-2025*
29-Sep-2025*
01-Oct-2025*
You will get certificate after
completion of program
You will get certificate after
completion of program
You will get certificate after
completion of program
in Collaboration with
Empowering Learning Through Real Experiences and Innovation
we train you to get hired.
Phone (For Voice Call):
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+91-971 152 6942Get a peek through the entire curriculum designed that ensures Placement Guidance
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The course includes topics such as generative models, GANs, VAEs, and practical applications of generative AI.
This certification validates your expertise in generative AI, enhancing your job prospects and making you attractive to employers in AI-driven industries.
The training includes both theoretical and practical sessions, typically lasting a few weeks to a few months, depending on the program.
A basic understanding of programming and machine learning is recommended to get the most out of the classes.
The certification from Croma Campus is highly recognized and respected by employers in the AI industry, making it a valuable asset.
Yes, Croma Campus provides comprehensive placement assistance to help graduates find relevant positions in top AI-driven companies.
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