GENREATIVE AI with LLM Course
"Kal Ki Taiyari"
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Skills you'll gain
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
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.
Course Learning Outcome
The Generative AI with Large Language Models course offers an in-depth exploration of the key principles, technologies, and advanced techniques that define this cutting-edge field. Participants will begin with an introduction to artificial intelligence, covering the evolution of AI technologies and their transformative impact across various industries.
Foundational concepts of generative AI and LLMs will be discussed, including the progression from early models to today's advanced LLMs and their typical tasks like text completion and sentiment analysis.
A significant portion of the Generative AI with LLM course will focus on the technologies underpinning LLMs, with a detailed look at the transformer architecture and its components, such as self-attention mechanisms and multi-head attention.
Students will also engage with seminal research papers that have shaped the development of these models, gaining insights into their methodologies and conclusions.
Advanced transformer models like GPT, BERT, and T5 will be examined, along with prompt engineering and model fine-tuning techniques. The course will cover both instruction-based and parameter-efficient fine-tuning methods, providing practical exercises to enhance model performance without extensive retraining.
Further, the syllabus includes advanced training techniques like reinforcement learning from human feedback (RLHF) and other innovative methods such as Adapter layers and model distillation. Practical sessions will ensure students can apply these techniques effectively in real-world scenarios.
The integration and scalability of LLMs into existing applications form another crucial aspect of the curriculum. Technical approaches for embedding LLMs, optimizing performance, and ensuring scalability with hardware accelerations will be demonstrated.
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 data analytics training institute in Gurgaon. Our course fee for the entire course is:
One-Time Payment with Placement Assurance.
- Refund of up to 70% if you don’t get placed within 10 months (maximum refund ₹49,000).
Additional Benefits:
- Job Assistance: Our program ensures support until you secure a role. 100% Placement Program: We are fully committed to helping you find the right opportunity.
- Real-World Projects: Gain hands-on experience with projects based on real industry scenarios.
- Comprehensive Curriculum: Focus on advanced generative AI using large language models, prompt engineering, and transformer-based architectures.
One-time Payment
₹30,000
Testimonials of our Successful Learners
What our learners have to say
"The Generative AI with LLM course at School of Core AI was a game-changer for my career. The comprehensive curriculum, spanning from foundational concepts to advanced techniques, provided me with a holistic understanding of this rapidly evolving field. I particularly appreciated the hands-on approach to learning, especially during the capstone project where we applied our knowledge to real-world scenarios. The in-depth exploration of the Transformer architecture and its variants gave me a solid grasp of the underlying technologies powering modern LLMs. This course has not only enhanced my technical skills but also opened up new avenues for innovation in my work."
Arjun Mehta
Generative AI Engineer
School of Core AI
"As someone with a background in traditional machine learning, I found this course to be an excellent bridge into the world of generative AI and LLM. The instructors' expertise shone through in their ability to break down complex concepts like self-attention mechanisms and multi-head attention into digestible segments. The section on prompt engineering was particularly enlightening, offering practical strategies that I've since applied in my projects with remarkable results. The course's emphasis on both theoretical understanding and practical application has given me the confidence to tackle advanced AI challenges in my professional endeavors."
Priya Sharma
AI Specialist
School of Core AI
"These advanced topics are rarely covered in such depth in other programs. The practical exercises on model fine-tuning were invaluable, allowing me to experiment with various approaches and see their impact firsthand. I also appreciated the inclusion of recent research papers, which provided context for the rapid advancements in the field. This course has equipped me with the skills to stay at the forefront of AI innovation."
Rahul Kapoor
AI Researcher
School of Core AI
"The progression from basic AI concepts to advanced LLM applications was well-structured, allowing for a natural build-up of knowledge. I found the weeks dedicated to integration and scalability particularly useful, as they addressed real-world challenges of implementing LLMs in production environments. The insights into hardware acceleration and performance optimization have been directly applicable in my work, helping me develop more efficient AI solutions."
Ananya Desai
AI Solutions Architect
School of Core AI
"As a software engineer transitioning into AI, this course provided the perfect blend of theoretical foundation and practical skills. The curriculum's coverage of GPT, BERT, and T5 models gave me a comprehensive understanding of the current LLM landscape. I was particularly impressed by the hands-on sessions on model distillation and Adapter layers, which opened my eyes to the possibilities of deploying powerful AI models in resource-constrained environments. The capstone project was a highlight, allowing me to apply my newly acquired skills to a challenging real-world problem."
Vikram Choudhury
Software Engineer
School of Core AI
"The curriculum's strong emphasis on the entire LLM lifecycle, from pretraining to deployment, provided a holistic view of the field. I found the section on fine-tuning particularly valuable, as it equipped me with the skills to adapt pretrained models to specific domains. The course's focus on scalability and integration challenges has been instrumental in my ability to implement LLM-powered applications in my organization, driving innovation and efficiency."
Nandini Reddy
AI Engineer
School of Core AI
"This course stands out for its comprehensive approach to Generative AI and LLM. The in-depth exploration of the Transformer architecture laid a solid foundation, while the advanced topics like RLHF and model distillation pushed the boundaries of my understanding. I appreciated the balance between theoretical concepts and practical applications, especially in the sections covering prompt engineering and fine-tuning techniques. The course has not only enhanced my technical skills but also broadened my perspective on the ethical considerations and future directions of AI technology."
Karthik Venkatesh
AI Researcher
School of Core AI
"The curriculum's progression from foundational AI concepts to advanced LLM techniques was well-paced and comprehensive. I particularly valued the deep dive into research papers, which provided crucial context for understanding the rapid evolution of the field. The practical sessions on integrating LLMs into existing applications were eye-opening, offering insights that I've since applied to optimize AI workflows in my projects. This course has not only expanded my technical expertise but also ignited a passion for pushing the boundaries of what's possible with AI."
Sneha Gupta
Data Scientist
School of Core AI
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