High-Demand Roles
AI Developer, Prompt Engineer, Machine Learning Engineer (Generative AI), LLM Architect.
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Yrs. of Excellence
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Branches in HYD
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Students Trained
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Batches Trained
Driving Innovation with Generative AI and LLMs
Generative AI is reshaping every industry, from finance to healthcare. This course is designed for those who want to move beyond using LLMs to actively developing them and integrating them into business solutions.
You will learn the architecture behind these models and the practical skills to deploy them in scalable applications, supporting high-value roles across the Software Courses spectrum.
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Pre-Requisites for Generative AI & LLM Development
Eligibility
Who Can Attempt This Course?
Detailed Generative AI & LLM Development Curriculum
The program delivers hands-on experience in building, customizing, and deploying Generative AI models, with a focus on practical frameworks and APIs.
Foundations of Generative AI
Understanding transformer architecture, language models (LLMs), model families (GPT, BERT, etc.), and the AI ecosystem.
Prompt Engineering & Design
Mastering techniques for maximizing LLM output quality, chain-of-thought prompting, and creating structured inputs/outputs.
LLM Application Development
Building complete applications using industry frameworks (LangChain, LlamaIndex) for data integration and orchestration.
Customization & Fine-Tuning
Techniques for tailoring LLMs to specific business data using RAG (Retrieval-Augmented Generation) and custom fine-tuning.
Deployment & Cloud Integration
Deploying LLMs as scalable services using frameworks and integrating them into Cloud Computing (AWS, Azure, GCP) environments.
Why Choose Stansys?
Our Unmatched Commitment to Your Success
Frequently Asked Questions (FAQs)
What is the primary programming language for this course?
Python is the core language, as it provides the necessary libraries and frameworks (e.g., Hugging Face, PyTorch) used for LLM development and deployment.
How is this course different from the Data Science & ML course?
Data Science is broad (focusing on prediction/classification). Generative AI is specialized, focusing exclusively on creation of text, code, or images, and the development/deployment of Large Language Models.
Does Stansys offer practical project experience?
Yes, the course is highly practical, culminating in a major capstone project where students build and deploy a working LLM application, giving them real-world experience.
What kind of job assistance is provided after this training?
We provide 100% Job Assistance. We specifically prepare you for AI Developer interviews and target companies building advanced AI products or those integrating LLMs into their existing tech stack.
What are the class delivery options for this cutting-edge course?
We offer maximum flexibility with engaging Live Classes through our traditional Classroom Training or our comprehensive On-line Training solutions.
Will the training cover deployment on cloud platforms?
Yes, a key module covers deployment strategies and integrating LLM-powered applications using essential services from Cloud Computing (AWS, Azure, GCP).
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