Hari Thapliyaal

Dr. Hari Thapliyal is a seasoned professional and prolific blogger with a multifaceted background that spans the realms of Data Science, Project Management, and Advait-Vedanta Philosophy. Holding a Doctorate in AI/NLP from SSBM (Geneva, Switzerland), Hari has earned Master’s degrees in Computers, Business Management, Data Science, and Economics, reflecting his dedication to continuous learning and a diverse skill set.

With over three decades of experience in management and leadership, Hari has proven expertise in training, consulting, and coaching within the technology sector. His extensive 16+ years in all phases of software product development are complemented by a decade-long focus on course design, training, coaching, and consulting in Project Management.

In the dynamic field of Data Science, Hari stands out with more than three years of hands-on experience in software development, training course development, training, and mentoring professionals. His areas of specialization include Data Science, AI, Computer Vision, NLP, complex machine learning algorithms, statistical modeling, pattern identification, and extraction of valuable insights.

Hari’s professional journey showcases his diverse experience in planning and executing multiple types of projects. He excels in driving stakeholders to identify and resolve business problems, consistently delivering excellent results. Beyond the professional sphere, Hari finds solace in long meditation, often seeking secluded places or immersing himself in the embrace of nature.

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Developing GenAI Solutions with RAG

Program Outline: Developing GenAI Solutions with RAG

Duration:

4 Days

Course Audience:

Technical Leads, Technical Architects, Service Delivery Managers

Target Unit:

Delivery CoE, Product, Internal Applications

Course Outline

Day 1: Introduction to Generative AI and Frameworks

Morning Sessions 9:00 AM to 1:00 PM

1. Session 1 - Overview of Generative AI (9:00 AM - 10:30 AM)

  • Evolution of Generative AI
  • Applications of GenAI in Automation and Conversational Systems

2. Session 2 - Introduction to LangChain & LlamaIndex (10:45 AM - 1:00 PM)

  • Overview of LangChain and its Components
  • Introduction to LlamaIndex (formerly GPT Index) and Its Role in Data Interaction

Lunch 1:00 PM to 2:00 PM

Afternoon Sessions 2:00 PM to 5:00 PM

3. Session 3 - Understanding LangChain Architecture (2:00 PM - 3:30 PM)

  • Chains, Agents, and Prompts
  • Integrating APIs and Tools in LangChain

4. Session 4 - Setting Up Development Environments (3:45 PM - 5:00 PM)

  • Installation and Configuration of LangChain and LlamaIndex
  • Best Practices for Development Setup

Day 2: Building Custom AI Applications with LangChain

Morning Sessions 9:00 AM to 1:00 PM

5. Session 5 - Designing and Building Custom Chains (9:00 AM - 10:30 AM)

  • Creating Simple and Complex Chains
  • Managing State and Context in Applications

6. Session 6 - Agents and Toolkits in LangChain (10:45 AM - 1:00 PM)

  • Understanding Agents and Their Functionality
  • Building a Custom Agent with LangChain

Lunch 1:00 PM to 2:00 PM

Afternoon Sessions 2:00 PM to 5:00 PM

7. Session 7 - Conversational AI Applications (2:00 PM - 3:30 PM)

  • Building Chatbots with LangChain
  • Integration with Messaging Platforms

8. Session 8 - Hands-On: LangChain Use Cases (3:45 PM - 5:00 PM)

  • Real-World Scenarios: Document Summarization, Sentiment Analysis

Day 3: Advanced Features and Data Integration with LlamaIndex

Morning Sessions 9:00 AM to 1:00 PM

9. Session 9 - Understanding LlamaIndex Architecture (9:00 AM - 10:30 AM)

  • How LlamaIndex Enhances Data Access and Interaction
  • Core Features: Indexing, Querying, and Retrieval

10. Session 10 - Data Integration with LlamaIndex (10:45 AM - 1:00 PM)

  • Connecting to Structured and Unstructured Data Sources
  • Working with Databases and File Systems

Lunch 1:00 PM to 2:00 PM

Afternoon Sessions 2:00 PM to 5:00 PM

11. Session 11 - Query Optimization and Fine-Tuning (2:00 PM - 3:30 PM)

  • Advanced Query Capabilities in LlamaIndex
  • Fine-Tuning Models for Specific Use Cases

12. Session 12 - Hands-On: Building Data-Driven Applications (3:45 PM - 5:00 PM)

  • Creating an Application that Combines LangChain and LlamaIndex

Day 4: Deployment, Scaling, and Capstone Project

Morning Sessions 9:00 AM to 1:00 PM

13. Session 13 - Deploying GenAI Solutions (9:00 AM - 10:30 AM)

  • Strategies for Hosting AI Applications
  • Integration with Cloud Platforms

14. Session 14 - Scaling and Monitoring AI Applications (10:45 AM - 1:00 PM)

  • Techniques for Scaling GenAI Workloads
  • Monitoring and Maintenance Best Practices

Lunch 1:00 PM to 2:00 PM

Afternoon Sessions 2:00 PM to 5:00 PM

15. Session 15 - Capstone Project: End-to-End GenAI Solution (2:00 PM - 4:00 PM)

  • Teams Build and Present a Complete GenAI Solution Using LangChain and LlamaIndex

16. Session 16 - Wrap-Up and Next Steps (4:00 PM - 5:00 PM)

  • Key Takeaways
  • Certification Distribution and Future Learning Pathways

Key Outcomes:

  • Master LangChain and LlamaIndex for developing GenAI solutions.
  • Build custom conversational and data-driven AI applications.
  • Integrate AI applications with diverse data sources.
  • Deploy and scale GenAI solutions for enterprise environments.
  • Familiarity with Python and basic AI/ML concepts.
  • Knowledge of APIs and database management.
  • Review of LangChain and LlamaIndex documentation.

Materials Provided:

  • Course slides and code examples.
  • Hands-on exercise files and datasets.
  • Access to cloud environments for project work.
  • Certificate of Completion.

Updated:

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