Starweaver
GenAI Data and Analytics Academy Specialization
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

4 weeks to complete
at 4 hours a week
Flexible schedule
Learn at your own pace
Earn a Certificate
With paid plans
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 4 hours a week
Flexible schedule
Learn at your own pace
Earn a Certificate
With paid plans

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.

Details to know

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Taught in English
Recently updated!

September 2025

10 practice exercises

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  • Learn in-demand skills from university and industry experts
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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

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

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

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

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

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

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

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Instructors

Starweaver
Starweaver
448 Courses838,611 learners

Offered by

Starweaver

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