Transition to Code-Based Platforms

JavaScript is the popular programming language which powers web pages and web applications. This course will get you started coding in JavaScript.

3 hours 30 minutes 4 Enrolled 4.8 (4) Intermediate

Course Description:
This course bridges the gap between visual automation tools and fully code-based AI development platforms. Learners will explore advanced workflow orchestration, multi-agent systems, enterprise-grade deployments, and dynamic integration frameworks to build scalable, high-performance AI applications.

 

Lecture 1: Flowise for Complex Workflows
Master Flowise for designing and managing advanced AI workflows. Learn LangChain integration, custom component creation, and multi-agent conversation flows with powerful RAG implementations.

Key Objectives:

  • LangChain integration and visual flow design
  • Custom component development
  • Multi-agent conversation flows
  • Advanced RAG implementations

 

Lecture 2: CrewAI for Team-Based Agents
Develop collaborative AI agents in Python using CrewAI. Focus on role-based specialization, coordinated task execution, and performance optimization.

Key Objectives:

  • Python-based multi-agent development
  • Role-based agent specialization
  • Task delegation and coordination
  • Performance optimization

 

Lecture 3: Stack AI for Enterprise Data
Leverage Stack AI for secure, large-scale enterprise data solutions. Implement integrations, compliance measures, and advanced analytics for business-critical AI systems.

Key Objectives:

  • Complex data source integration
  • Enterprise security and compliance
  • Large-scale deployment strategies
  • Advanced analytics and reporting

 

Lecture 4: Mind Studio
Use Mind Studio’s intuitive no-code environment to build, integrate, and scale AI applications. Implement custom workflows and real-time monitoring for production-ready systems.

Key Objectives:

  • Intuitive no-code AI application builder
  • Pre-built integrations for data and APIs
  • Scalable deployment and hosting infrastructure
  • Custom logic and workflow orchestration
  • Real-time analytics and monitoring tools

 

Lecture 5: Auto Gen
Explore Auto Gen for dynamic, scalable multi-agent communication and workflow management. Learn advanced monitoring and optimization techniques.

Key Objectives:

  • Dynamic multi-agent communication framework
  • Seamless integration with diverse tools and APIs
  • Scalable agent deployment and workflow management
  • Advanced monitoring, debugging, and optimization
 
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$55.00 $60.00

What Will I Learn?

  • Transition to Code-Based Platforms
  • Flowise for Complex Workflows
  • CrewAI for Team-Based Agents
  • Stack AI for Enterprise Data
  • Mind studio'
  • Auto Gen

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