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  1. Certifications
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  3. GenAI Data and Analytics Academy

GenAI Data and Analytics Academy

In this comprehensive journey, you'll master not just the theory, but the actual engineering practices that power today's most advanced AI systems. From crafting robust data pipelines that feed your models, to building autonomous agents that can reason and act on their own, to deploying systems that scale reliably in production – we've got you covered.
Ritesh Vajariya
Ritesh Vajariya
Finance | intermediate | 29 hours 30 minutes

    Discussions

Overview

1098STUDENTS*
98.7%RECOMMEND*

Ever wondered how ChatGPT-like systems are built and deployed in the real world? Ready to move beyond basic prompts to creating your own AI agents? Welcome to "Generative AI Engineering" – your complete guide to building production-ready AI systems that actually work. 

In this comprehensive journey, you'll master not just the theory, but the actual engineering practices that power today's most advanced AI systems. From crafting robust data pipelines that feed your models, to building autonomous agents that can reason and act on their own, to deploying systems that scale reliably in production – we've got you covered.  

Whether you're looking to build the next groundbreaking AI application or enhance existing systems with state-of-the-art generative capabilities, this course provides the practical, hands-on experience you need to make it happen. 

Skills You Will Gain

Data Analysis
Data Analytics
GenAI
GenAI Academy

Learning Outcomes (At The End Of This Program, You Will Be Able To...)

  • Design and implement comprehensive data pipelines for GenAI applications 
  • Develop and deploy autonomous AI agents and multi-agent systems  
  • Master prompt engineering and chain management for LLMs  
  • Build production-ready GenAI applications with monitoring and safety systems 

Who Should Attend

  •  
  • Software Engineers transitioning to AI 
  • Data Scientists expanding into GenAI 
  • ML Engineers focusing on LLMs 
  • DevOps Engineers handling AI deployments
  •  

Curriculum

Experts

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
GenAI Data Engineering and RAG Systems

GenAI Data Engineering and RAG Systems

GenAI Foundations and Prompt Engineering

GenAI Foundations and Prompt Engineering

Part 1: GenAI Foundations and Prompt Engineering

This comprehensive foundation course transforms you from an AI newcomer into a skilled GenAI architect who can design and implement complete AI solutions.

Part 2: GenAI Data Engineering and RAG Systems

Ready to make AI systems work with your organization's unique knowledge and data? Most AI implementations hit a wall because they can't effectively access, process, and utilize enterprise information, leaving vast potential untapped and organizations

GenAI Model Development and Production Engineering

GenAI Model Development and Production Engineering

 GenAI Foundations and AI Agents Development

GenAI Foundations and AI Agents Development

Part 4: GenAI Model Development and Production Engineering

Master advanced fine-tuning, scalable deployments, and AI system maintenance. Build production-ready GenAI models and infrastructure that deliver real-world enterprise value.

Part 3: GenAI Foundations and AI Agents Development

Ready to move beyond reactive AI systems to autonomous agents that think, plan, and execute complex tasks independently? Most AI implementations remain limited to simple question-and-answer interactions, missing the transformative potential of truly

1Chapter 1: Introduction to Generative AI
2Chapter 2: Large Language Models
3Chapter 3: GenAI Use Cases
4Chapter 4: Fine-tuning Basics
5Chapter 5: Advanced Fine-tuning
6Chapter 6: Fine-tuning for Support
7Chapter 7: Deployment
8Chapter 8: Monitoring and Maintenance
9Chapter 9: Support System Deployment
10Chapter 10: Additional Use Cases
11Chapter 11: Future Trends
12Chapter 12: Course Conclusion
1Chapter 1: Introduction to Generative AI
2Chapter 2: Large Language Models
3Chapter 3: GenAI Use Cases
4Chapter 4: Prompt Engineering Basics
5Chapter 5: Advanced Prompt Engineering
6Chapter 6: Use Case Implementation
7Chapter 7: Conclusion
1Chapter 1: Agent Fundamentals
2Chapter 2: Large Language Models
3Chapter 3: GenAI Use Cases
4Chapter 4: Agent Fundamentals
5Chapter 5: Agentic AI
6Chapter 6: Support Agent Development
7Chapter 7:Course Conclusion
Ritesh Vajariya

Ritesh Vajariya

Ritesh is a dedicated AI strategist and educator, committed to empowering individuals and organizations with the transformative power of artificial intelligence. Over the years, he has guided leaders across the globe in crafting and executing impactful AI strategies, helping them navigate the complexities of AI adoption and integration. His journey in the AI field has seen him lead innovative projects, mentor aspiring AI professionals, and contribute to the development of cutting-edge AI technologies.

Passionate about demystifying AI, Ritesh strives to make it accessible to everyone, regardless of their background or expertise. He has worked closely with C-level executives, spearheading the creation of advanced AI solutions and playing a pivotal role in launching groundbreaking AI products that have reshaped industries. His AI for Leaders program has educated over 1,000 leaders, fostering AI-driven business transformation and career growth.

Beyond teaching, Ritesh actively advises early-stage companies in the AI, education, cloud, and SaaS sectors, enriching his understanding of the evolving technological landscape. His diverse experience allows him to provide holistic guidance to those looking to leverage AI in their ventures.

With a mission to make AI knowledge not just an asset but a catalyst for innovation, Ritesh continues to drive meaningful change, helping businesses and individuals unlock new opportunities in the AI-driven world.

VIEW MY CHANNEL

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 14 - Enterprise GenAI Application Matrix

Segment 15 - Industry-Specific Solution Architecture

Segment 16 - Support Assistant System Design

Segment 17 - ROI Measurement and Metrics

Segment 18 - Hands-On-Learning: Support Assistant System Design

Segment 19 - Reading: Generative AI Use Cases: A Primer

Segment 20 - Quiz: GenAI Foundations

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 00 - Reading: Welcome to the Course: Course Overview

Segment 01 - Course Introduction

Segment 02 - Generative AI Impact on Engineering

Segment 03 - Fundamentals of Generative AI Systems Architecture

Segment 04 - Setting Up GenAI Development Environments Local _ Cloud

Segment 05 - Enterprise Implementation Success Stories

Segment 06 - Hands-On-Learning: Introduction to Generative AI

Segment 07 - Reading: A Survey of Generative Artificial Intelligence

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 08 - LLM Components and Core Mechanics

Segment 09 - Enterprise LLM Model Comparison

Segment 10 - LLM Integration and API Setup

Segment 11 - Strategic Model Selection Framework

Segment 12 - Hands-On-Learning: LLM Integration and API Setup

Segment 13 - Redaing: A Brief Survey of Large Language Models

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 00: Reading - Welcome to the Course: Course Overview

Segment 01: Course Introduction

Segment 02: Generative AI Impact on Engineering

Segment 03: Fundamentals of Generative AI Systems Architecture

Segment 04: Setting Up GenAI Development Environments Local _ Cloud

Segment 05: Enterprise Implementation Success Stories

Segment 06: Hands-On-Learning: Introduction to Generative AI

Segment 07: Reading - A Survey of Generative Artificial Intelligence

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 00: Reading - Welcome to the Course: Course Overview

Segment 01: Course Introduction

Segment 02: Generative AI Impact on Engineering

Segment 03: Fundamentals of Generative AI Systems Architecture

Segment 04: Setting Up GenAI Development Environments Local _ Cloud

Segment 05: Enterprise Implementation Success Stories

Segment 06: Hands-On-Learning: Introduction to Generative AI

Segment 07: Reading - A Survey of Generative Artificial Intelligence

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 08: LLM Components and Core Mechanics

Segment 09: Enterprise LLM Model Comparison

Segment 10: LLM Integration and API Setup

Segment 11: Strategic Model Selection Framework

Segment 12: Hands-On-Learning: LLM Integration and API Setup

Segment 13: Reading - A Brief Survey of Large Language Models

1Chapter 1: Introduction to Generative AI
2Chapter 2: Large Language Models
3Chapter 3: GenAI Use Cases
4Chapter 4: Data Processing
5Chapter 5: RAG Fundamentals
6Chapter 6: Advanced RAG
7Chapter 7: RAG for Customer Support
8Chapter 8: Course Conclusion

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 52 - Support Architecture Planning Guide

Segment 53 - Integration Strategy Development Framework

Segment 54 - Support System Implementation Guide

Segment 55 - Performance Testing Protocol Design

Segment 56 - Hands-On-Learning: Support System Deployment

Segment 57 - Reading: Customer Support Chatbot

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Segment 71 - Course Conclusion

Segment 72 - Project: GenAI Production Deployment Challenge

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Segment 65 - Future Technology Landscape Analysis

Segment 66 - Industry Impact Assessment Framework

Segment 67 - Emerging Tools Implementation Guide

Segment 68 - Technology Adoption Strategy Design

Segment 69 - Reading: Emerging Trends in Generative AI

Segment 70 - Quiz: Future Trends

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Segment 46 - System Monitoring Strategy Design

Segment 47 - Performance Metrics Analysis Framework

Segment 48 - Monitoring Tools Implementation Guide

Segment 49 - Maintenance Protocol Development Framework

Segment 50 - Hands-On-Learning: Monitoring and Maintenance

Segment 51 - Reading: Comprehensive Guide to LLM Monitoring

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 21 - Model Fine-tuning Core Concepts

Segment 22 - Training Data Preparation Guide-

Segment 23 - Basic Fine-tuning Implementation Process

Segment 24 - Model Testing Evaluation Framework

Segment 25 - Hands-On-Learning: Fine-Tuning Basics

Segment 26 - Reading: A Survey on Fine-Tuning of Pretrained Language Models

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 33 - Support Data Preparation Strategy

Segment 34 - Support Model Training Framework

Segment 35 - Support Model Implementation Guide

Segment 36 - Quality Control Testing Protocol

Segment 37 - Hands-On-Learning: Fine-Tuning for Support

Segment 38 - Reading: Ultimate Guide to Fine-Tuning

Segment 39 - Quiz: GenAI Model Development

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 27 - Advanced Fine-tuning Strategy Design

Segment 28 - Performance Metric Analysis Framework

Segment 29 - Advanced Fine-tuning Implementation Guide

Segment 30 - Model Iteration Process Framework

Segment 31 - Hands-On-Learning: Advanced Fine-tuning

Segment 32 - Reading: Parameter-Efficient Fine-Tuning of LLMs: A Survey

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 58 - Content Generation System Design

Segment 59 - Code Assistant Implementation Guide

Segment 60 - Alternative Implementation Techniques Guide

Segment 61 - Use Case Selection Framework

Segment 63 - Reading: Generative AI in Healthcare, Finance, and More

Segment 62 - Hands-On-Learning: Alternative GenAI Implementation Techniques

Segment 64 - Quiz: Production Engineering

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Segment 40 - Production Deployment Strategy Design

Segment 41 - Infrastructure Requirements Planning Framework

Segment 42 - Production Deployment Implementation Guide

Segment 43 - Deployment Best Practices Protocol

Segment 44 - Hands-On-Learning: Deployment

Segment 45 - Reading: Putting Large Models in Production

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 40: Course Conclusion

Segment 41: Project: GenAI Engineering System Design Challenge

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 14: Enterprise GenAI Application Matrix

Segment 15: Industry-Specific Solution Architecture

Segment 16: Support Assistant System Design

Segment 17: ROI Measurement and Metrics

Segment 18: Hands-On-Learning: Support Assistant System Design

Segment 19: Reading - Generative AI Use Cases: A Primer

Segment 20: Quiz - GenAI Foundations

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 27: Multi-Step Prompt Chain Design

Segment 28: Context Window Optimization Techniques

Segment 29: Advanced Prompt Implementation Guide

Segment 30: Error Handling Strategy Framework

Segment 31: Hands-On-Learning: Advanced Prompt Implementation Guide

Segment 32: Reading - A Survey on Prompt Engineering for Large Language Models

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Segment 33: Support Bot Conversation Design

Segment 34: Response Template Architecture Design

Segment 35: Template System Implementation Guide

Segment 36: Quality Assurance Testing Framework

Segment 37: Hands-On-Learning: Template System Implementation Guide

Segment 38: Reading - Prompt Engineering for Developers

Segment 39: Quiz - Prompt Engineering

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Segment 21: Prompt Engineering Core Principles

Segment 22: Structural Elements of Prompts

Segment 23: Interactive Prompt Building Workflow

Segment 24: Prompt Design Pattern Library

Segment 25: Hands-On-Learning: Interactive Prompt Building Workflow

Segment 26: Reading - Prompt Engineering Guide

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 47: Course Conclusion

Segment 48: Project: Enterprise RAG System Design Challenge

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 08: LLM Components and Core Mechanics

Segment 09: Enterprise LLM Model Comparison

Segment 10: LLM Integration and API Setup

Segment 11: Strategic Model Selection Framework

Segment 12: Hands-On-Learning: LLM Integration and API Setup

Segment 13: Reading - A Brief Survey of Large Language Models

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 14: Enterprise GenAI Application Matrix

Segment 15: Industry-Specific Solution Architecture

Segment 16: Support Assistant System Design

Segment 17: ROI Measurement and Metrics

Segment 18: Hands-On-Learning: Support Assistant System Design

Segment 19: Reading - Generative AI Use Cases: A Primer

Segment 20: Quiz - GenAI Use Cases

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 34: Advanced RAG Pattern Analysis

Segment 35: Performance Optimization Techniques Framework

Segment 36: Complex RAG System Development

Segment 37: Enterprise Integration Best Practices

Segment 38: Hands-On-Learning: Advanced RAG: Complex RAG System Development

Segment 39: Reading - Retrieval-Augmented Generation: Recent Advances and Future Directions

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Segment 27: RAG System Architecture Design

Segment 28: RAG Architecture - Component Integration Fundamentals

Segment 29: RAG Implementation Best Practices-

Segment 30: RAG System Testing Protocol

Segment 31: Hands-On-Learning: RAG Fundamentals

Segment 32: Reading - Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

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Segment 32: Support Agent Requirements Analysis-

Segment 33: Agent Capability Planning Matrix-

Segment 34: Support Agent Development Guide-

Segment 35: Agent Testing Strategy Framework

Segment 36: Hands-On-Learning: Support Agent Development

Segment 37: Reading - A Survey of Large Language Model-Based Autonomous Agents

Segment 38: Quiz - Support Agent Development

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Segment 40: Support Documentation Processing Framework

Segment 41: Knowledge Base Architecture Design

Segment 42: Support RAG Implementation Guide-

Segment 43: Response Quality Enhancement Strategy

Segment 44: Hands-On-Learning: RAG for Customer Support: Production-Ready System

Segment 45: Reading - Building an Intelligent Customer Support Chatbot with RAG: A Complete Guide

Segment 46: Quiz - RAG for Customer Support

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Segment 21: Data Pipeline Requirements Analysis

Segment 22: Enterprise Data Pipeline Design

Segment 23: Data Processing System Implementation

Segment 24: Data Quality Validation Framework -Ritesh

Segment 25: Hands-On-Learnings: Data Processing

Segment 26: Reading - Data Preparation for Machine Learning

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Segment 08: LLM Components and Core Mechanics

Segment 09: Enterprise LLM Model Comparison

Segment 10: LLM Integration and API Setup

Segment 11: Strategic Model Selection Framework

Segment 12: Hands-On-Learning: LLM Integration and API Setup

Segment 13: Reading - A Brief Survey of Large Language Models

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 21: AI Agent Architecture Principles

Segment 22: Agent Component Design Patterns

Segment 23: Basic Agent Implementation Guide

Segment 24: Agent Classification System Framework

Segment 25: Hands-On-Learning: Agent Fundamentals: Build Your First AI Agent

Segment 26: Reading - A Survey of Autonomous Agents

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Segment 27: Multi-Agent System Design Principles

Segment 28: Agent Communication Protocol Design

Segment 29: Multi-Agent Implementation Workflow

Segment 30: Agent Safety Control Framework

Segment 31: Hands-On-Learning: Agentic AI: Multi-Agent Coordination System

Segment 32: Reading - Agentic AI: A New Paradigm for LLMs

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Segment 14: Enterprise GenAI Application Matrix

Segment 15: Industry-Specific Solution Architecture

Segment 16: Support Assistant System Design

Segment 17: ROI Measurement and Metrics

Segment 18: Hands-On-Learning: Support Assistant System Design

Segment 19: Reading - Generative AI Use Cases: A Primer

Segment 20: Quiz - GenAI Use Cases

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 39: Course Conclusion

Segment 40: Project: Enterprise Model Fine-tuning Strategy Challenge

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 00: Reading - Welcome to the Course: Course Overview

Segment 01: Course Introduction

Segment 02: Generative AI Impact on Engineering

Segment 03: Fundamentals of Generative AI Systems Architecture

Segment 04: Setting Up GenAI Development Environments Local _ Cloud

Segment 05: Enterprise Implementation Success Stories

Segment 06: Hands-On-Learning: Introduction to Generative AI

Segment 07: Reading - A Survey of Generative Artificial Intelligence