Edureka! Masterclass

Description

Move beyond single-prompt LLM apps and learn how to design, orchestrate, and deploy cooperating AI agents — live, in 90 minutes. In this hands-on bootcamp, you'll see how multiple specialized agents can collaborate to research, analyze, and deliver work autonomously. We'll build a multi-agent "Market Research Crew" live with Claude, walk through real architectural patterns, and answer your questions in a live Q&A. Whether you're an engineer, data scientist, or AI-curious builder, you'll leave

Agenda

• Introduction to the bootcamp & certification details
• Understanding Agentic AI (from prompts to autonomous systems)
• Core concepts of Multi-Agent Systems
• Roles, collaboration, and orchestration of AI agents
• Designing agent architectures for real-world problems
• Live Demo: Build a Multi-Agent System using Claude
• Creating a research, analysis, and content generation workflow
• How agents communicate, delegate, and refine outputs
• Real-world use cases & tools (LangGraph, CrewAI, Autogen)
• Challenges, limitations, and best practices
• Live Q&A with experts
• Career roadmap & next steps

Webinar Facts

• Python has celebrated its 30th anniversary in 2021

• Python is the preferred language for new technologies such as Data Science and Machine Learning.

• TIOBE index says,'Python is one of the most popular programming languages in the world'

Description

Move beyond single-prompt LLM apps and learn how to design, orchestrate, and deploy cooperating AI agents — live, in 90 minutes. In this hands-on bootcamp, you'll see how multiple specialized agents can collaborate to research, analyze, and deliver work autonomously. We'll build a multi-agent "Market Research Crew" live with Claude, walk through real architectural patterns, and answer your questions in a live Q&A. Whether you're an engineer, data scientist, or AI-curious builder, you'll leave

Agenda

• Introduction to the bootcamp & certification details
• Understanding Agentic AI (from prompts to autonomous systems)
• Core concepts of Multi-Agent Systems
• Roles, collaboration, and orchestration of AI agents
• Designing agent architectures for real-world problems
• Live Demo: Build a Multi-Agent System using Claude
• Creating a research, analysis, and content generation workflow
• How agents communicate, delegate, and refine outputs
• Real-world use cases & tools (LangGraph, CrewAI, Autogen)
• Challenges, limitations, and best practices
• Live Q&A with experts
• Career roadmap & next steps

Webinar Facts

• A Deep Learning engineer in the USA gets an annual pay of about 140 thousand dollars

• NLP to help AI market to be greater than $60 Billion buy 2025 -Forbes

• By 2025, AI global investment is going to hit $200 billion.

Description

Join this live, hands-on bootcamp to learn how to transform raw data into powerful, interactive dashboards using Power BI + Generative AI. AI is redefining how analysts work — what once took hours of manual effort can now be done in minutes using tools like Copilot, Smart Narratives, and AI-driven insights. In this session, you’ll build a complete AI-powered dashboard LIVE, guided step-by-step — even if you’re a beginner.

Agenda

• Introduction to AI in Business Intelligence
• Power BI + GenAI capabilities (Copilot, Q&A, Smart Narratives)
• Hands-on: Build an AI-powered dashboard
• Import data, generate visuals & KPIs using AI
• Refine dashboards with natural language
• Real-world use cases & AI applications
• AI features, accuracy, and limitations
• Live Q&A and key takeaways

Description

Move beyond single-prompt LLM apps and learn how to design, orchestrate, and deploy cooperating AI agents — live, in 90 minutes. In this hands-on bootcamp, you'll see how multiple specialized agents can collaborate to research, analyze, and deliver work autonomously. We'll build a multi-agent "Market Research Crew" live with Claude, walk through real architectural patterns, and answer your questions in a live Q&A. Whether you're an engineer, data scientist, or AI-curious builder, you'll leave

Agenda

• Introduction to the bootcamp & certification details
• Understanding Agentic AI (from prompts to autonomous systems)
• Core concepts of Multi-Agent Systems
• Roles, collaboration, and orchestration of AI agents
• Designing agent architectures for real-world problems
• Live Demo: Build a Multi-Agent System using Claude
• Creating a research, analysis, and content generation workflow
• How agents communicate, delegate, and refine outputs
• Real-world use cases & tools (LangGraph, CrewAI, Autogen)
• Challenges, limitations, and best practices
• Live Q&A with experts
• Career roadmap & next steps

Description

Join this live, hands-on bootcamp to learn how to transform raw data into powerful, interactive dashboards using Power BI + Generative AI. AI is redefining how analysts work — what once took hours of manual effort can now be done in minutes using tools like Copilot, Smart Narratives, and AI-driven insights. In this session, you’ll build a complete AI-powered dashboard LIVE, guided step-by-step — even if you’re a beginner.

Agenda

• Introduction to AI in Business Intelligence
• Power BI + GenAI capabilities (Copilot, Q&A, Smart Narratives)
• Hands-on: Build an AI-powered dashboard
• Import data, generate visuals & KPIs using AI
• Refine dashboards with natural language
• Real-world use cases & AI applications
• AI features, accuracy, and limitations
• Live Q&A and key takeaways

Webinar Facts

• There will be 11.5 million jobs in the Data Science field by 2026

• A Senior Data Scientist is expected to earn over 20 to 25 Lacs a year

• Data Analytics Market is expected to grow a CAGR of 30.08%

Description

Move beyond single-prompt LLM apps and learn how to design, orchestrate, and deploy cooperating AI agents — live, in 90 minutes. In this hands-on bootcamp, you'll see how multiple specialized agents can collaborate to research, analyze, and deliver work autonomously. We'll build a multi-agent "Market Research Crew" live with Claude, walk through real architectural patterns, and answer your questions in a live Q&A. Whether you're an engineer, data scientist, or AI-curious builder, you'll leave

Agenda

• Introduction to the bootcamp & certification details
• Understanding Agentic AI (from prompts to autonomous systems)
• Core concepts of Multi-Agent Systems
• Roles, collaboration, and orchestration of AI agents
• Designing agent architectures for real-world problems
• Live Demo: Build a Multi-Agent System using Claude
• Creating a research, analysis, and content generation workflow
• How agents communicate, delegate, and refine outputs
• Real-world use cases & tools (LangGraph, CrewAI, Autogen)
• Challenges, limitations, and best practices
• Live Q&A with experts
• Career roadmap & next steps

Webinar Facts

• There will be 11.5 million jobs in the Data Science field by 2026

• A Senior Data Scientist is expected to earn over 20 to 25 Lacs a year

• Data Analytics Market is expected to grow a CAGR of 30.08%

Description

Move beyond single-prompt LLM apps and learn how to design, orchestrate, and deploy cooperating AI agents — live, in 90 minutes. In this hands-on bootcamp, you'll see how multiple specialized agents can collaborate to research, analyze, and deliver work autonomously. We'll build a multi-agent "Market Research Crew" live with Claude, walk through real architectural patterns, and answer your questions in a live Q&A. Whether you're an engineer, data scientist, or AI-curious builder, you'll leave

Agenda

• Introduction to the bootcamp & certification details
• Understanding Agentic AI (from prompts to autonomous systems)
• Core concepts of Multi-Agent Systems
• Roles, collaboration, and orchestration of AI agents
• Designing agent architectures for real-world problems
• Live Demo: Build a Multi-Agent System using Claude
• Creating a research, analysis, and content generation workflow
• How agents communicate, delegate, and refine outputs
• Real-world use cases & tools (LangGraph, CrewAI, Autogen)
• Challenges, limitations, and best practices
• Live Q&A with experts
• Career roadmap & next steps

Webinar Facts

• The value of the global machine learning market is likely to reach USD 117 billion by the end of 2027 at a CAGR of 39%. (GlobeNewswire)

• 65% of companies who are planning to adopt machine learning say the technology helps businesses in decision-making.

• The average salary for a machine learning engineer is $150,099 per year in the United States.- Indeed.com

Description

Join this live, hands-on bootcamp to learn how to transform raw data into powerful, interactive dashboards using Power BI + Generative AI. AI is redefining how analysts work — what once took hours of manual effort can now be done in minutes using tools like Copilot, Smart Narratives, and AI-driven insights. In this session, you’ll build a complete AI-powered dashboard LIVE, guided step-by-step — even if you’re a beginner.

Agenda

• Introduction to AI in Business Intelligence
• Power BI + GenAI capabilities (Copilot, Q&A, Smart Narratives)
• Hands-on: Build an AI-powered dashboard
• Import data, generate visuals & KPIs using AI
• Refine dashboards with natural language
• Real-world use cases & AI applications
• AI features, accuracy, and limitations
• Live Q&A and key takeaways

Webinar Facts

• The BI market will hit $33+ billion by 2025.

• In the USA, the demands of Power BI developers are rising with the average annual salary of an entry-level being US$70,050 and experienced ones earning as high as US$114,298 with an average of US$114,298

• As per research, the average annual pay for a Tableau Developer is $108,697 a year.