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 Martin Luther Christian University

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
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

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

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Specialization - 4 course series

GenAI Foundations and Prompt Engineering

GenAI Foundations and Prompt Engineering

Course 1, 6 hours

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: Generative AI
Category: LLM Application
Category: Prompt Engineering
Category: Scalability
Category: Prompt Patterns
Category: Development Environment
Category: Generative Model Architectures
Category: Process Optimization
Category: Program Evaluation
Category: Systems Architecture
Category: Performance Tuning
Category: Debugging
Category: AI Integrations
Category: Large Language Modeling
Category: Retrieval-Augmented Generation
Category: Generative AI Agents
Category: Case Studies
Category: AI Workflows
Category: Enterprise Application Management
Category: Model 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 Processing
Category: Data Pipelines
Category: Scalability
Category: Generative AI
Category: Vector Databases
Category: System Monitoring
Category: Process Optimization
Category: Context Engineering
Category: Large Language Modeling
Category: Extract, Transform, Load
Category: AI Personalization
Category: Embeddings
Category: AI Orchestration
Category: Talent Pipelining
Category: AI Workflows
Category: Data Architecture
Category: Data Engineering
Category: Continuous Monitoring
Category: Engineering
GenAI Foundations and AI Agents Development

GenAI Foundations and AI Agents Development

Course 3, 6 hours

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: Responsible AI
Category: Generative AI
Category: Agentic systems
Category: AI Workflows
Category: Retrieval-Augmented Generation
Category: Large Language Modeling
Category: Agentic Workflows
Category: CrewAI
Category: Generative AI Agents
Category: Application Deployment
Category: LLM Application
Category: Job Evaluation
Category: Data Integration
Category: AI Orchestration
Category: Model Deployment
Category: Tool Calling
Category: Logical Reasoning
Category: Collaboration
Category: Prompt Patterns
Category: AI Integrations
GenAI Model Development and Production Engineering

GenAI Model Development and Production Engineering

Course 4, 11 hours

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: Scalability
Category: Kubernetes
Category: MLOps (Machine Learning Operations)
Category: Containerization
Category: Generative AI Agents
Category: Process Optimization
Category: Transfer Learning
Category: Model Optimization
Category: Job Evaluation
Category: Automation
Category: Cloud Infrastructure
Category: Continuous Deployment
Category: Infrastructure Architecture
Category: Large Language Modeling
Category: Docker (Software)
Category: Model Deployment
Category: Continuous Monitoring
Category: Fine-tuning
Category: Enterprise Application Management
Category: Generative AI

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Instructors

Starweaver
Starweaver
556 Courses1,081,895 learners

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