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In an age shaped by intelligence and innovation, only those who master Large Language Models (LLMs) will lead with precision, foresight, and distinction. LLMs are not tools but instruments of transformation, redefining how the refined think, decide, and elevate business beyond convention.
Strategic LLM Development for Smart Enterprises using Python is crafted not merely to teach AI, but to instill the art of building it ethically with purpose. Through Python and next-generation AI tools, professionals are empowered to architect intelligent systems, command insight from complexity, and lead the future with grace and clarity.
No pre-requisite. Suitable for everyone, regardless of prior technology experience.
Who Should Attend
Aspiring AI Developers, Business Analysts, Data Analysts, Technology Leaders, Digital Transformation Professionals, Python Programmers, AI Developers, Innovation Officers, Consultants, and Anyone interested in the development of LLM for Smart Business.
This module forges your mastery of Python, the cornerstone of AI and LLM innovation. You will command core syntax, data types, control flows, and object-oriented principles with precision. Engage in purposeful scripting exercises and refine your craft to build intelligent, elegant solutions with confidence and clarity.
Acquire a deep knowledge and skillset on the core AI concepts and distinctions between AI, ML, and Deep Learning. Using Python and key libraries like NumPy, pandas, and scikit-learn, you’ll build foundational AI workflows including classification, regression, and basic neural networks. Real-world business cases and hands-on model building sharpen your practical skills.
Deep dive into the foundations of Large Language Models, tracing their evolution from NLP to transformers. Explore key frameworks like GPT and LLaMA, understand core concepts like embeddings and tokenization, and master prompt engineering.
Acquire practical NLP skills with Python using spaCy, NLTK, and Hugging Face transformers. Confidently handle text preprocessing, tokenization, embeddings, and perform advanced tasks like sentiment analysis, NER, and summarization. Fine-tune powerful transformer models and visualize results to deliver impactful, real-world NLP solutions.
Learn to fine-tune LLMs for targeted business needs using transfer learning and PEFT techniques. Work with models like LLaMA and GPT-2, apply LoRA adapters, and prepare real business data. Evaluate performance, balance costs, and use tools like Colab Pro and Hugging Face Trainer through hands-on fine-tuning.
Develop deep knowledge and skills on how to build smart business solutions using LLMs. Master semantic search, RAG, automated email/report generation, and enterprise chatbots with memory.
Build scalable LLM pipelines with LangChain and LlamaIndex. Explore document loading, indexing, and retrieval using FAISS and Chroma. Master memory chains, agent design, and LangChain Expression Language to create powerful business agents.
This course involves extensive practical/hands-on exercises, rigorous usage of real-time case studies, role-playing and group discussion
Upon completion of the course, participants are required to attempt an examination. This exam tests a candidate’s knowledge and skills related to Digital Transformation, based on the syllabus covered.
Participants are expected to score a minimum of 70% to pass the examination
Add Value to your prolific portfolio a Certificate of Competency from CASUGOL.
All certificates issued by CASUGOL are to individuals who have successfully completed CASUGOL Certification Programs / Executive Workshops and have fulfilled all requirements by demonstrating proficiency in applying the knowledge and skills acquired.
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