Certified LLM Developer™ Interactive Live Training

In the era of advanced artificial intelligence, large language models (LLMs) are reshaping the technological landscape and driving innovation. The Certified LLM Developer™ Interactive Live Training program is meticulously crafted to equip you with the comprehensive knowledge and hands-on experience necessary to develop, fine-tune, and deploy LLMs effectively. This immersive live training offers in-depth insights into LLM architectures, cutting-edge tools, and best practices, with a focus on real-time application and problem-solving. Throughout the program, you’ll engage in interactive sessions, gain practical experience, and master the art of working with LLMs to create intelligent, context-aware applications. Whether you’re building models that enhance communication or creating AI-driven solutions that push the boundaries of technology, this training ensures you are at the forefront of the AI revolution. Join us in the Certified LLM Developer™ Interactive Live Training, and emerge as a skilled LLM developer, ready to lead in the development of sophisticated AI models. Be part of a transformative journey where your expertise drives innovation and shapes the future of AI-driven language technologies.

$349


Play Video

15 Hours

ILT Duration

Online

Exam

Live & Self-Paced

Access Mode

Lifetime

Certification Validity

Why Choose Us

Globally Renowned web3 education organization

Modules Included

  • LLM Overview
  • Evolution of LLMs
  • Capabilities and Limitations of LLMs
  • Applications and use cases of LLMs
  • Tokenization, Vectors and Embeddings
  • Attention Mechanism and its variants
  • Introduction to Transformer Architecture
  • Creating Custom Language Models
  • Transfer Learning in NLP
  • Evaluation Metrics for LLMs: BLEU, ROUGE, Perplexity
  • Introduction to Hugging Face Transformers library
  • Overview of llama2 and Gemma
  • Fine Tuning Gemma Model
  • Overview of popular LLMs: GPT-3/4, BERT, T5
  • Fine-tuning pre-trained models for specific tasks
  • BERT and its variants: RoBERTa, DistilBERT
  • GPT and its applications in text generation
  • Exploring other models: T5, XLNet, ELECTRA
  • Building conversational agents and chatbots
  • Creative applications: text generation, storytelling
  • Ethical considerations and bias mitigation in LLMs
 
 
  • Understanding Computer Vision
  • CNN from Scratch
  • CNN using Tensorflow
 
  • Basics of audio signal processing
  • Feature extraction: MFCCs, Spectrograms
  • Audio classification and speech recognition
  • Basics of video signal processing
  • Frame extraction and video feature analysis analysis
  • LangChain – Langchain for Conversational AI Applications
  • LangChain – Deploying Language Model APIs with Langchain
  • LangChain – Langchain for RAG Workflows
  • Ollama – Overview of Ollama for conversational AI
  • Ollama – Developing and deploying conversational agents with Ollama
  • Overview of Text Classification Model
  • Bert text classification
  • Data preparation and preprocessing
  • Text Generation Model
  • Overview of Text Generation Model
  • Evaluation and fine-tuning
  • Evaluation and fine-tuning
 
 
  • Overview of Designing a conversational agent architecture
  • Conversational Agent
  • Conversational agent using openAI
  • Conversational Agent using LangChain
  • Conversational Agent using Ollama
  • Conversational Agent using HuggingFace

 

  • Deploying LLMs with Flask and FastAPI
  • Introduction to Docker for containerization
  • Deploying LLMs on cloud platforms (AWS)
  • Introduction to MLOps concepts and practices
  • Continuous Integration and Continuous Deployment
  • Monitoring model performance in production

Recommend allocating 1 hour daily to complete the course in 15 Days.

Though you can attempt the online exam anytime as per your convenience, we highly recommend attempting the exam within 10Days of course completion, as the subject will be fresh in your mind, and you get sufficient time to prepare/revise as well

Followed by the certification session, an exam will be conducted for a total of 100 marks.

You need to acquire 60+ marks to clear the exam.

If you fail to acquire 60+marks, you can retake the exam after one day.

The maximum number of retakes will be three.

If you fail to acquire 60+ marks even after three attempts, then you need to contact us to get assistance for clearing the exam.

Top Job Roles

A Certified LLM Developer™ is a distinguished professional holding a certification that validates their exceptional expertise in large language models. These experts possess deep knowledge and skills in developing, fine-tuning, and deploying LLMs, enabling them to create sophisticated AI-driven solutions. They are innovators in AI, leveraging their expertise to build intelligent applications that can understand and generate human-like text across a wide range of domains. Certified LLM Developers play a pivotal role in advancing the capabilities of AI language models, contributing to the creation of groundbreaking applications and solutions in various industries.

This certification program is ideal for individuals passionate about artificial intelligence, natural language processing, and language models. It is designed for software developers, data scientists, AI researchers, and anyone interested in a career in AI-driven language modeling. Whether you’re an experienced professional seeking to deepen your expertise or new to the field, this certification provides the knowledge and skills necessary to excel in the rapidly evolving domain of large language models.

Certified LLM Developer™ are proficient in developing, fine-tuning, and deploying large language models to create intelligent, context-aware applications. They utilize their expertise in LLM architectures, tools, and techniques to build AI models that can understand, generate, and interact with human language in a meaningful way. These experts work collaboratively with cross-disciplinary teams to incorporate LLM-driven solutions into various applications, from chatbots and virtual assistants to content generation and automated decision-making systems. Their role is crucial in ensuring the technical and functional excellence of AI-driven language models, driving innovation and efficiency in a wide range of industries.

  • Tech and SaaS
  • Healthcare and AgriTech 
  • E-commerce and Finance

Certification Benefits

Frequently Asked Questions

A Certified LLM Developer is a recognized professional with advanced knowledge and skills in developing, fine-tuning, and deploying large language models, holding a certification that validates their expertise in the field.

Software developers, data scientists, AI researchers, and anyone interested in pursuing a career in AI-driven language modeling.

 Comprehensive understanding of LLM development, validation of skills and knowledge, career advancement opportunities, industry recognition, and access to ongoing learning and networking opportunities.

Yes, you can retake the certification exam if you do not pass it on your first attempt. Please refer to the certification guidelines for specific details on retake policies and procedures.

There are no specific prerequisites for enrolling in the Certified LLM Developer program. However, a basic understanding of programming, AI concepts, and natural language processing would be beneficial.

The  Certified LLM Developer™ program is designed to be completed within a flexible timeframe, allowing you to progress at your own pace. While the recommended duration for completing the program is six weeks, the actual time may vary based on individual learning preferences and prior experience.

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