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

Access provided by UC Davis

Get in-depth knowledge of a subject

from 5 reviews of courses in this program

Intermediate level

Recommended experience

4 weeks to complete
at 4 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject

from 5 reviews of courses in this program

Intermediate level

Recommended experience

4 weeks to complete
at 4 hours a week
Flexible schedule
Learn at your own pace

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

Shareable certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

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

GenAI Foundations and Prompt Engineering

GenAI Foundations and Prompt Engineering

Course 1, 6 hours

What you'll learn

  • Master GenAI foundations and LLM integration strategies for 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: Prompt Engineering
Category: Performance Tuning
Category: Application Design
Category: Prompt Engineering Tools
Category: Process Optimization
Category: Artificial Intelligence
Category: Debugging
Category: Program Evaluation
GenAI Data Engineering and RAG Systems

GenAI Data Engineering and RAG Systems

Course 2, 7 hours

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: Retrieval-Augmented Generation
Category: Data Pipelines
Category: Generative AI
Category: Data Processing
Category: Scalability
Category: Data Architecture
Category: Extract, Transform, Load
Category: Process Optimization
Category: Vector Databases
Category: System Monitoring
Category: Talent Pipelining
Category: Data Engineering
Category: AI Personalization
Category: Context Engineering
Category: AI Workflows
Category: AI Orchestration
Category: Continuous Monitoring
Category: Engineering
Category: Embeddings
Category: Large Language Modeling
GenAI Foundations and AI Agents Development

GenAI Foundations and AI Agents Development

Course 3, 6 hours

What you'll learn

  • Construct autonomous AI agents using the CrewAI framework with tool integration, decision-making logic, and AI Agents Development best practices.

  • Implement sophisticated multi-agent systems with communication protocols, task delegation, and collaborative agent orchestration.

  • Build and deploy specialized customer support AI agents with knowledge base integration, intelligent reasoning, and escalation management.

  • Apply GenAI Foundations, agent safety frameworks, and testing protocols to deploy reliable, production-ready AI agents.

Skills you'll gain

Category: Retrieval-Augmented Generation
Category: AI Integrations
Category: Agentic systems
Category: Generative AI
Category: Application Deployment
Category: Responsible AI
Category: Artificial Intelligence
Category: Logical Reasoning
Category: AI Orchestration
Category: LLM Application
Category: Collaboration
Category: Model Deployment
Category: Data Integration
Category: Agentic Workflows
Category: Prompt Patterns
Category: Large Language Modeling
Category: Generative AI Agents
Category: AI Workflows
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: CrewAI
GenAI Model Development and Production Engineering

GenAI Model Development and Production Engineering

Course 4, 11 hours

What you'll learn

  • Execute advanced GenAI Model Development workflows using LoRA optimization and domain-specific model customization.

  • Implement enterprise-level GenAI Production Engineering strategies with containerization, monitoring, and infrastructure automation.

  • Construct production monitoring and maintenance protocols with automated alerting, performance tracking, and best practices for GenAI Development.

  • Optimize GenAI models in production using semantic caching, edge deployment, hybrid routing, and scalable deployment strategies.

Skills you'll gain

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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Starweaver
Starweaver
574 Courses1,176,168 learners

Offered by

Starweaver

Why people choose Coursera for their career

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."