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

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  • Develop a deep understanding of key concepts
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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: Return On Investment
Category: Tool Calling
Category: Generative AI Agents
Category: Application Design
Category: Process Optimization
Category: Large Language Modeling
Category: LLM Application
Category: Development Environment
Category: Debugging
Category: Program Evaluation
Category: Verification And Validation
Category: Artificial Intelligence
Category: Systems Architecture
Category: Application Programming Interface (API)
Category: Prompt Engineering
Category: Performance Tuning
Category: Generative AI
Category: ChatGPT
Category: Prompt Patterns
Category: Scalability

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: System Monitoring
Category: Development Environment
Category: Prompt Engineering
Category: Data Quality
Category: Engineering
Category: Performance Tuning
Category: LLM Application
Category: Process Optimization
Category: Scalability
Category: Continuous Monitoring
Category: Query Languages
Category: Generative AI
Category: AI Personalization
Category: Data Processing
Category: Data Pipelines
Category: System Design and Implementation
Category: Database Systems
Category: Talent Pipelining

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: Generative AI Agents
Category: Logical Reasoning
Category: Generative AI
Category: Quality Assurance
Category: Scalability
Category: Systems Architecture
Category: LLM Application
Category: Agentic systems
Category: Artificial Intelligence
Category: Responsible AI
Category: Data Integration
Category: User Acceptance Testing (UAT)
Category: Collaboration
Category: Application Deployment
Category: Job Evaluation
Category: Tool Calling
Category: Software Architecture

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: System Monitoring
Category: Site Reliability Engineering
Category: Emerging Technologies
Category: Quality Assurance
Category: Continuous Deployment
Category: Process Optimization
Category: Continuous Monitoring
Category: Microservices
Category: Performance Tuning
Category: Scalability
Category: Large Language Modeling
Category: Job Evaluation
Category: Cloud Infrastructure
Category: Application Deployment
Category: MLOps (Machine Learning Operations)
Category: Automation
Category: Generative AI
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Prompt Engineering

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Instructors

Starweaver
Starweaver
426 Courses794,741 learners

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