Large Language Model Course with Advanced Training
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Skills You Will Gain in Large Language Models Course
Transformers
Neural Networks
GPT
BERT
Fine-Tuning
Tokenization
Text Generation
CI/CD
Deployment
Hyperparameter Tuning
Distributed Training
Bias Mitigation
Perks of the Program
Program Overview of Large Language Model Course
Generative AI with Large Language Models is making big waves in the tech world. This course is designed to give you a solid grasp of how these models work and how you can use them in real-world applications.
We'll start with the basics, covering what LLMs are, how they're built, and what makes them tick. You'll learn about neural networks, deep learning, and natural language processing in a straightforward way that makes these complex topics easier to understand.
The course isn't just about theory. You'll get plenty of hands-on practice with exercises that help you build and deploy your own generative AI projects. Real-life examples and case studies will show you how LLMs are used in different industries, like creating content and improving customer service.
We’ll also dive into more advanced topics, like fine-tuning models and optimizing their performance. Plus, we'll discuss the important ethical questions around AI, making sure you're ready to create AI solutions that are both effective and responsible.
Who Is This Program For?
Aspiring Data Scientists & Analysts
who are eager to specialize in deep learning for data science. This course teaches advanced AI techniques to solve real data problems. It covers predictive analytics and automation. It provides a solid foundation for understanding and designing those techniques.
Software Engineers & Developers
want to turn to AI and machine learning activities. By creating excellent deep learning in data science, you will develop the skills to build, optimize, and deploy deep learning models. This allows you to work on projects from recommendation systems to automatic systems and beyond.
IT Professionals & System Architects
They manage and scale data infrastructures. This course will teach you to integrate deep learning for data science into existing systems. It will ensure that AI models are used well in your enterprise's tech stack, both in the cloud and on-premise.
Learning Outcomes for Large Language Model Course
Learn the fundamentals of transformer architectures, including key components like self-attention, multi-head attention, and latent attention. Understand how these mechanisms power modern LLMs like GPT-4, Llama, and Mistral, revolutionizing natural language processing and enabling highly efficient, scalable models for various tasks.
Gain an in-depth understanding of Reinforcement Learning (RL), focusing on techniques like Proximal Policy Optimization (PPO), Dynamic Adversarial Policy Optimization (DAPO), and Generalized Deterministic Policy Optimization (GDPO). Learn how RLHF fine-tunes LLMs, improving task execution, reasoning, and decision-making by enabling models to learn from human feedback.
Explore the architecture and capabilities of GPT-4, Llama, Mistral, and other state-of-the-art LLMs. Understand how Mixture of Experts (MoE) enhances model scalability by activating a subset of experts for each task, improving training efficiency while reducing computational costs.
Learn how to fine-tune LLMs with domain-specific data to optimize their performance in fields such as healthcare, finance, and legal technology. Apply adapter layers and parameter-efficient fine-tuning techniques to customize models without retraining from scratch, saving time and computational resources.
Gain hands-on experience with tools like LangChain and LlamaIndex to build and deploy LLM-powered applications. Learn how to integrate real-time data retrieval and information indexing to create scalable, efficient applications capable of handling large datasets and complex queries.
Dive into advanced fine-tuning techniques like RLHF, MoE, and latent attention to make LLMs more adaptive, efficient, and capable of handling complex tasks. Explore reinforcement learning strategies and parameter-efficient methods that improve model performance without requiring large-scale retraining.
Learn how to scale LLMs using distributed training, GPUs, and TPUs to handle large volumes of data in production environments. Explore optimization techniques to ensure that LLMs are both high-performing and cost-efficient when deployed at scale across cloud-based platforms.
Course Curriculum
Industry recognized training Certificate
Upon completing our course, you will receive an industry-recognized training certificate, one of its biggest benefits. Use it to seek your fair share of a salary rise and demonstrate your newly acquired competence to your employer!
What Sets Us Apart?
| Feature | Our Program | Other Courses |
|---|---|---|
| Expert-Led Sessions | ✔ 24 weeks of instruction from top-tier professionals with industry experience | ✘ Often lack guidance from seasoned experts, relying on less experienced instructors |
| Flexible Learning Options | ✔ Accessible 24/7 with over 150 hours of on-demand content | ✘ Limited accessibility and rigid learning schedules |
| Practical Assessments | ✔ 15 practical assessments for hands-on practice | ✘ Minimal practical exposure and hands-on opportunities |
| Real-World Assignments | ✔ Engage in 14+ real-world assignments directly linked to industry challenges | ✘ Minimal practical exposure and hands-on opportunities |
| Live Doubt-Clearing Sessions | ✔ 11 live sessions with experts for doubt resolution | ✘ Limited opportunities for real-time support and query resolution |
| Capstone Projects | ✔ 2-3 capstone projects applying skills to real-world problems | ✘ Few or no chances to work on substantial, real-world projects |
| Live Interviews | ✔ 5 mock interviews to prepare you for the real world | ✘ Lack of structured live interview preparation |
| Mock Interviews | ✔ 10 mock interviews to prepare for real job scenarios | ✘ Lack of structured mock interview preparation |
| Career and Placement Support | ✔ Comprehensive support for job placements, including resume reviews and salary negotiation tips | ✘ Often lack continuous support for career advancement and placement |
Fee Structure
We provide a really competitive rate in the market as the best LLM training institute in Gurgaon. Our course fee for the entire course is:
One-Time Payment
Additional Benefits:
- Hands-On Learning: Master Large Language Models with practical, project-based experience in text generation, semantic search, and question answering.
- Advanced Techniques: Dive deep into LLM fine-tuning, prompt engineering, and transformer architectures to build powerful AI solutions for real-world challenges.
One-time Payment
₹35,000
Testimonials of our Successful Learners
What our learners have to say
"Taking the Large Language Model Course was a turning point in my career. I started with a basic understanding of AI, but the course helped me dive deep into LLMs and their applications. I applied this knowledge to create a customer service chatbot, improving efficiency within my team. The hands-on lessons in model fine-tuning and optimization gave me the practical skills I needed to transition smoothly into this field."
Arjun Mehta
"This course was perfect for me as I wanted to dive deeper into Generative AI. The Large Language Model Course helped me understand how LLMs can be applied to real-world problems, such as creating recommendation systems and advanced search engines. The course provided clear, practical guidance, and I now feel confident working with LLMs on various projects."
Priya Sharma
"The Large Language Model Course provided the right balance of theory and practice. It helped me work on real-world applications, such as summarizing documents and answering complex questions using LLMs. The fine-tuning techniques we learned allowed me to optimize models for specific tasks. The hands-on approach made it much easier to apply these skills in my daily work."
Rahul Kapoor
"Switching to ML engineering was a major career shift for me, and the Large Language Model Course made it easy. The course gave me the skills to develop a text summarization tool for our team, helping us process information faster. The hands-on exercises with model fine-tuning and quantization allowed me to optimize the tool for real-world performance."
Vikram Choudhury
"The Large Language Model Course was exactly what I needed to integrate LLMs into real-world applications. I used what I learned to develop systems for document classification and data extraction, helping my team streamline information flow. The course provided practical insights into how to deploy and scale LLMs, which directly impacted the solutions I was building."
Ananya Desai
"I took the Large Language Model Course to build more effective AI systems for my team. I learned how to apply LLMs to develop a customer support system that could handle more complex queries. The course’s practical focus gave me the tools to fine-tune models and implement them in real-world scenarios, which has improved our efficiency and response times."
Nandini Reddy
Frequently Asked Questions
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