Mastering Generative AI with LLMs
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10,000+
Learners -
3+
Hours -
75+
Lessons -
120+
Practice Q&A -
Flexible
Learning
Trusted by employees at leading organizations
TRANSFORM YOUR AI CAREER WITH GENERATIVE AI SKILLS
Unlock new opportunities in your career with generative AI and LLM expertise.
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Understand how language models work and their capabilities to solve real-world problems.
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Learn how to utilize different language model architectures for diverse use cases.
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Achieve specialization in using evaluation metrics to create reliable and accurate generative AI models.
Explore Diverse Career Paths in Generative AI with our LLMs Course
Large language models (LLMs) have become the cornerstone of technological advancements in the AI landscape. When you think of any popular AI tool, such as ChatGPT or DALL-E, you will discover they all have LLMs working behind the scenes. That is why we created the Mastering Generative AI with LLMs course, so you can dive deeper into the workings of LLMs and learn the ways to use them in different scenarios.
As the demand for generative AI systems continues growing, the demand for LLM experts skyrockets. LLMs are becoming an integral part of millions of people’s everyday lives, so you can expect generative AI jobs to increase even more in the future. Businesses adopting generative AI in their operations and workflows need trained LLM experts to craft systems that work according to their expectations. The new course on generative AI and LLMs gives you the perfect tool to learn everything you need to know about language models. On top of it, the course also provides insights into techniques that can help you optimize the performance of LLMs.
The best thing about the Generative AI with Large Language Models course is the assurance of practical learning. With this course, you will gain knowledge of LLMs and how they work in the real world, as well as their applications in different use cases. Most importantly, you will specialize in LLM implementation, evaluation, and optimization with the help of hands-on exercises and the guidance of an industry expert.
WHAT YOU WILL LEARN?
Create Your Generative AI Career Path by Learning…
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The basic concepts of generative AI and LLMs
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Relevant Practical use cases of LLMs
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Best practices for implementation of LLMs
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LLM evaluation and performance optimization
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Ethical considerations for LLMs and risks
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Future trends for generative AI and LLMs
Become a Generative AI Expert with…
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Knowledge of generative AI and LLM fundamentals
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Understanding of practical use cases of LLMs
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Abilities to implement Large Language Models
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Skills to evaluate LLMs and optimize performance
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Awareness of ethical implications and challenges of LLMs
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Insights on future trends in generative AI and LLMs
Course Curriculum
- A message from the instructor
- Disclaimer
- Download Course Presentation
- Module Overview
- AI and Machine Learning Basics
- Generative AI: Definition and Key Concepts
- Generative AI vs. Traditional AI Models
- Evolution of Generative Models
- The Role of Transformers in Generative AI
- Introduction to Large Language Models
- Module Summary
- Interactive Exercise
- Module Overview
- Understanding Large Language Models
- Pre-training and Fine-tuning
- Key LLM Architectures
- Tokenization and Embeddings in LLMs
- Demonstration - Tokenization and Cost Estimation
- Training LLMs
- Limitations and Challenges of LLMs
- Module Summary
- Interactive Exercise
- Module Overview
- Natural Language Processing with LLMs
- Demonstration - Prompt Engineering Playground
- Content Creation and Text Augmentation
- Coding and Programming Assistance
- Conversational AI and Virtual Assistants
- Emerging Applications and Use Cases
- Hands-on Exercise - Data Analysis with ChatGPT
- Module Summary
- Interactive Exercise
- Module Overview
- Implementing LLMs
- Fine-tuning LLMs for Specific Tasks
- Building an NLP Pipeline Using LLMs
- Deploying LLMs in Production Environments
- Optimizing LLM Performance
- Demonstration - Gemini Chatbot using Google Colab
- Module Summary
- Interactive Exercise
- Module Overview
- Evaluation Metrics for LLMs
- Benchmarking LLMs on Standard Datasets
- Identifying and Mitigating Bias in LLMs
- Model Interpretability and Explainability
- Optimizing LLMs for Cost and Efficiency
- Feedback Loops & Continuous Improvement
- Demonstration - Bias and Toxicity Analysis using ChatGPT
- Module Summary
- Interactive Exercise
- Module Overview
- Understanding Ethical AI & Responsible AI
- Bias, Fairness, and Inclusivity in LLMs
- Privacy and Security Concerns with LLMs
- Misinformation and Hallucination in LLMs
- Ethical Frameworks and AI Governance
- Module Summary
- Interactive Exercise
- Module Overview
- The Future of LLM Architectures & Models
- Reinforcement Learning with Human Feedback (RLHF)
- Multimodal Generative Models & Integration
- Hands-on Exercise - Experimenting with Prompts
- Demonstration - Multimodal Input using ChatGPT
- Emerging AI Platforms and Tools
- LLMs in Autonomous Systems and Robotics
- Societal Impact and Future of AI
- Module Summary
- Interactive Exercise
- Module Overview
- Course Summary
- Final Exam and Next Steps
- Exam Details
- Final Exam
- Bonus: Download Generative AI with LLMs Glossary
BOOST YOUR GENERATIVE AI CAREER - WHO SHOULD JOIN?
Anyone who wants to learn about the exciting field of generative AI and language models should take this course to learn the technologies.
Software developers or software engineers can rely on this course to acquire the essential skills to improve productivity or create new LLM-based software.
Innovation managers and entrepreneurs should use this course to learn how to use LLMs for new business ideas by solving real-world issues.
IT professionals can try this course to add a popular tech skill to their resume and improve their portfolio.
CATCH EVERY OPPORTUNITY IN GENERATIVE AI - CLOSE THE SKILL GAP
The Mastering Generative AI with LLMs course is a trusted learning resource for anyone who wants to dive deeper into the world of AI. This course teaches how LLMs work and how you can implement them in the real world. Learners will use hands-on exercises and demonstrations in this course to familiarize themselves with all the necessary concepts from a practical perspective. Upon completing the course, you will be prepared to leverage LLMs to solve real-world problems.
Enroll Now Bonus Material
Course Presentation
Download the course presentation for the convenient access anywhere, anytime.
Additional Lectures
Gain access to complimentary additional lectures and enhance your understanding.
Join Online Events
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Mastering Generative AI with LLMs FAQs
The topics covered in the course include the fundamental concepts of generative AI and LLMs, their practical applications, and best practices for LLM implementation. The course also sheds light on the methods for evaluating LLM performance and optimization techniques, ethical considerations for generative AI systems, and future trends.
Anyone who wants to learn LLMs and their practical applications should join the course. The new LLM course is also a trusted pick for software developers, software engineers, innovation managers, entrepreneurs, and IT professionals.
The Mastering Generative AI with LLMs course is a self-paced training course that has no strict deadline, so you can complete the learning process with ease. Learners can take their time and cover all the learning objectives with undivided attention.
Yes, Future Skills Academy offers expert support for this new course on generative AI and LLMs like every other course. Our experts are always ready to answer your questions and give you the best learning experience possible.
The transformer architecture in LLMs is a type of architecture tailored for generative AI that involves transforming an input to a specific output according to the algorithm. The architecture uses self-attention mechanisms for parallel processing of the input data to achieve better scalability.
The generative AI course helps business owners by providing a flexible resource to train their teams for the future. Business owners can use the course as a training manual for the workforce to help them adapt to generative AI tools in the workplace. It will improve the workforce’s productivity while ensuring employee engagement and retention.
The new course on generative AI and LLMs can help you achieve new heights of professional success in the AI job market. You can become an invaluable asset for companies that embrace generative AI. With the AI revolution gaining momentum, professionals with LLM expertise can achieve new benchmarks of success.
The willingness to learn generative AI and become an expert in LLMs is the only precondition to enrolling in the course. You can start from scratch and learn crucial LLM skills that will open multiple career paths for you.
Yes! The generative AI with large language models course is available with the FSA Premium Plan. The FSA Premium Plan is your one-stop solution for unlimited access to all training courses in the platform’s library.
Fine-tuning in LLMs is the process of training a pre-trained model on a task-specific and generally smaller dataset. The smaller dataset focuses on a specific niche and helps the language model adapt to the nuances of the application. The primary objective of fine-tuning is to improve the performance of LLMs.
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