Starweaver
GenAI Data and Analytics Academy Specialization

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Starweaver

GenAI Data and Analytics Academy Specialization

GenAI Data and Analytics Academy. Master GenAI, LLMs & Agents: From Data Pipelines to Model Deployment at Scale

Starweaver
Ritesh Vajariya

Instructors: Starweaver

Included with Coursera Plus

Get in-depth knowledge of a subject
Intermediate level

Recommended experience

1 month at 4 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

1 month at 4 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

What you'll learn

  • Design and implement comprehensive data pipelines for GenAI applications.

  • Develop and deploy autonomous AI agents and multi-agent systems.

  • Analyze prompt engineering and chain management for LLMs.

  • Build production-ready GenAI applications with monitoring and safety systems.

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

September 2025

10 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Starweaver

Specialization - 4 course series

What you'll learn

  • Master GenAI foundational concepts and LLM integration strategies for building scalable enterprise applications.

  • Construct advanced prompt engineering workflows with multi-step chains and context optimization.

  • Implement enterprise GenAI use cases with systematic design and ROI measurement frameworks.

  • Develop production-ready conversation systems with template engines and quality assurance protocols.

Skills you'll gain

Category: ChatGPT
Category: Development Environment
Category: Prompt Engineering
Category: Application Programming Interface (API)
Category: Performance Tuning
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Application Design
Category: Large Language Modeling
Category: LLM Application
Category: Generative AI Agents
Category: Debugging
Category: Program Evaluation
Category: Enterprise Application Management
Category: Process Optimization
Category: Business Metrics
Category: Systems Architecture
Category: Generative AI
Category: Prompt Patterns

What you'll learn

  • Construct enterprise-grade data processing pipelines with quality validation and AI-ready formatting.

  • Implement sophisticated RAG architectures with vector search, embeddings, and context management.

  • Deploy advanced RAG optimization techniques including reranking, metadata filtering, and adaptive strategies.

  • Develop specialized customer support RAG systems with context-aware personalization and performance tracking.

Skills you'll gain

Category: Enterprise Architecture
Category: Data Processing
Category: System Monitoring
Category: Performance Tuning
Category: Prompt Engineering
Category: Data Quality
Category: Database Systems
Category: Scalability
Category: Process Optimization
Category: Extract, Transform, Load
Category: Data Pipelines
Category: Data Architecture
Category: Talent Pipelining
Category: Query Languages
Category: Generative AI
Category: AI Personalization
Category: Continuous Monitoring
Category: LLM Application
Category: Engineering
Category: Semantic Web

What you'll learn

  • Construct autonomous AI agents with CrewAI framework, tool integration, and decision-making capabilities.

  • Implement sophisticated multi-agent coordination systems with communication protocols and task delegation.

  • Deploy specialized customer support agents with knowledge base integration and escalation management.

  • Apply agent safety frameworks and testing protocols for reliable production deployment.

Skills you'll gain

Category: Artificial Intelligence
Category: Generative AI
Category: LangChain
Category: LLM Application
Category: Job Evaluation
Category: Logical Reasoning
Category: Software Architecture
Category: Responsible AI
Category: Agentic systems
Category: Large Language Modeling
Category: Prompt Patterns
Category: Data Integration
Category: OpenAI
Category: Generative AI Agents
Category: Collaboration
Category: Scalability
Category: Application Deployment
Category: System Design and Implementation
Category: Tool Calling

What you'll learn

  • Execute advanced fine-tuning workflows including LoRA optimization and domain-specific model customization.

  • Implement enterprise-scale deployment strategies with containerization, monitoring, and infrastructure automation.

  • Construct comprehensive production monitoring and maintenance protocols with automated alerting and performance tracking.

  • Apply advanced optimization techniques including caching, edge deployment, hybrid routing, and emerging technology adoption strategies.

Skills you'll gain

Category: Process Optimization
Category: Large Language Modeling
Category: Kubernetes
Category: Enterprise Architecture
Category: MLOps (Machine Learning Operations)
Category: Application Deployment
Category: Continuous Monitoring
Category: Performance Tuning
Category: Docker (Software)
Category: Containerization
Category: Site Reliability Engineering
Category: Cloud Infrastructure
Category: Job Evaluation
Category: Generative AI
Category: Continuous Deployment
Category: Technology Strategies
Category: Infrastructure Architecture
Category: Scalability
Category: Prompt Engineering
Category: Automation

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Instructors

Starweaver
Starweaver
431 Courses795,574 learners
Ritesh Vajariya
17 Courses6,404 learners

Offered by

Starweaver

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