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Generative AI is reshaping how businesses code, analyze data, create content, and serve customers. Organizations adopting Large Language Models (LLMs) are seeing real productivity and innovation gains.
Our 2-Day Intensive course on LLMs equips professionals with the skills to understand, apply, and innovate using LLMs in real-world scenarios.
Why Enroll?
Practical Knowledge – Go beyond the hype, learn how LLMs work.
Hands-on Experience – Build prompts, workflows, and applications.
Cross-Role Relevance – Developers, analysts, managers, creatives — all benefit.
Enterprise Value – Unlock efficiency and competitive advantage.
What You’ll Learn
- Day 1 – Understanding LLMs
- What LLMs are and how they work
- How does the Transformer model work?
- Prompting basics: zero-shot, few-shot, role-based
- Real-world text use cases: summarization, classification, insights
- Hands-on exercises with AI models
- Day 2 – Applying and Extending LLMs
- Code generation and data queries with LLMs
- Multimodal LLMs (text + images + tools)
- Safe and responsible AI usage
- Future trends: RAG, fine-tuning, and agentic AI
Who Should Attend?
- Developers & Data Professionals – Build AI-powered apps
- Business Leaders & Analysts – Drive productivity and insights
- Creative Professionals – Explore new ways of content creation
Benefits for Organizations
- Train employees on cutting-edge AI skills that align with industry needs
- Drive AI adoption across teams for measurable productivity gains
- Prepare your workforce for the future of AI-driven workflows
- Gain competitive advantage by embedding AI into enterprise processes
Trainer Profile: Siddhesh Prabhugaonkar, in his role as a Cloud Architect at ZasmLabs,leads major cloud migration and modernization projects, leveraging Azure’s full potential to transform businesses. From modernizing legacy applications and containerizing deployments to integrating AI solutions, his focus is always on delivering innovative, scalable, and impactful solutions.
As a Microsoft Certified Trainer, Cloud Solution Architect and Pluralsight instructor with over 17 years of IT experience, Siddhesh specializes in delivering comprehensive training programs on Azure Cloud, Azure AI, and Azure Data Engineering. His expertise spans across certifications like AI-102, AZ-305, AZ-104, and many more, making him a trusted instructor for professionals across industries.
He has created technical content for renowned organizations like Pluralsight, O’Reilly Learning, Cloud Institute, and ZISPL, helping thousands of learners worldwide master Azure technologies. His instructor-led training sessions for Microsoft, EY, Deloitte, Avanade and other major organizations consistently receive excellent feedback, highlighting high engagement and effective learning outcomes.
Participants must create an account and install software on their machine before the training starts (as per below prerequisites)
Tools required for LLM course
| Tool / Platform | Free / Paid | Local Installation? | Online Link | |||
| Python (3.10+) | Free | Yes (install locally) | https://www.python.org/downloads/ | |||
| VS Code | Free | Yes (install locally) | https://code.visualstudio.com | |||
| Jupyter Notebook / Lab | Free | Yes (pip install notebook) | https://jupyter.org | |||
| Google Colab | Free | No (browser-based) | https://colab.research.google.com | |||
| OpenAI (ChatGPT / API / Playground) | Paid – requires $5 subscription top-up | No (web/API) | https://platform.openai.com | |||
| Hugging Face (Models Hub & Spaces) | Free tier | No (web), Yes (pip install transformers) | https://huggingface.co | |||
| LangChain | Free | Yes (pip install langchain) | https://www.langchain.com | |||
| FAISS (Vector DB) | Free | Yes (pip install faiss-cpu) | https://github.com/facebookresearch/faiss | |||
| Azure | Free Trial OR Paid Subscription | No Step-by-Step Guide to Create Azure Free Account | ||||
Delivery: ZOOM Meeting
