Agentic AI Professional Awardโข
Agentic AI Certification Training Program trains you to build AI agents that plan tasks, use tools, and execute end-to-end data workflows safely. Youโll learn LLM fundamentals, retrieval for schema grounding, tool-calling with SQL/Python, validation and guardrails, and production patterns like logging and evaluation. Build portfolio projects including an NL-to-SQL agent, data-quality agent, and pipeline debugging assistant.
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Duration: 10 Weeks (Intensive)
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Upcoming Cohorts:
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Cohort Size: 20โ25
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Outcome: AI Agent Developer / Agentic AI Engineer
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Know more about Agentic AI Professional Award
Why learners struggle with Agentic AI โ and how we solve it
We built this program around the real gaps that stop professionals from building production-ready AI agents
Prompting โ Building Real Agents
Most learners know prompts, but struggle to build agents that can plan, use tools, and execute reliably.Our Solution
- Agentic AI foundations + real agent architecture building blocks
- Proven agent design patterns (ReAct, reflection, planning, tool-use)
No Production-Grade Portfolio
Learners finish theory-heavy courses without projects that prove agent-building skills.Our Solution
- 5+ guided portfolio projects + 20+ hands-on labs
- Real-world agent use cases (finance, research, sales analysis, customer support)
Agents Fail in Real Environments
Even if agents work in notebooks, they break in real usage without tracing, evaluation, and monitoring.Our Solution
- Observability with Langfuse and LangSmith (tracing + evaluation)
- AgentOps practices to improve reliability and performance
Lack of Multi-Agent + Workflow Skills
Most courses donโt teach multi-agent collaboration, memory/state, or workflow orchestration.Our Solution
- Multi-agent systems using LangGraph + CrewAI
- Advanced agent development using AutoGen
Everything you need to go from learning to building real AI agents
Live sessions, self-paced practice, hands-on labs, and mentor supportโso you can confidently design, deploy, and monitor agentic AI systems.
Live Instructor-Led Session
Interactive sessions led by experts covering agent foundations, architectures, multi-agent workflows, and real-world implementation patterns.
Hands-On Labs
Practice with guided labs across the full agent lifecycleโtool use, memory/state, agentic RAG, multi-agent collaboration, and deployment workflows.
Portfolio Projects
Build 5+ portfolio-ready projects including real business use cases like finance bots, research agents, sales analyzers, customer support agents, and no/low-code agents.
Mentorship & Support
Get continuous guidance to unblock you during buildsโdebugging agent workflows, improving reliability, and applying AgentOps best practices.
Summary: Analyze AI agent use cases Explore agentic AI frameworks
- Topics: Agentic AI introduction; AI Agents vs Agentic AI, Agentic AI vs Generative AI vs Traditional AI, Building blocks; autonomous agents; human-in-the-loop systems, Single and multi-agent systems; frameworks overview, Ethical/responsible AI; best practices; success stories
Summary: Design an AI agent architecture Implement different agentic AI design patterns
- Topics: Agentic architecture types and key components (perception, cognitive, action, learning, collaboration, security modules), Patterns: reflection, tool use, planning, ReAct & ReWOO, multi-agent pattern, Design considerations
Summary: Build a self-correcting coding assistant with LangChain
- Topics: Document loaders, ingestion, text splitting, embeddings, vector DB integration, LCEL: runnables, chains; build/deploy with LCEL; deploy with LangServe
Summary: Build a finance bot with LangGraph
- Topics: LangGraph basics, state and memory
- Topics: Agentic RAG vs traditional RAG; architecture/components; adaptive RAG, State schema/reducer; message trimming/filtering, Memory + external memory; HITL UX; long-term memory; deployment
Summary: AI-powered sales report analyzer with LlamaIndex Market research agent with RAG & Cohere
- Topics: Variants and applications of agentic RAG, Agentic RAG with LlamaIndex and Cohere
Summary: Design a data analysis agent with Phidata
- Topics: Agents, models, tools, knowledge, chunking, vector DB, storage, embeddings, workflows
Summary: Customer support chatbot with LangGraph Stock analysis agent with CrewAI
- Topics: Multi-agent systems/workflows; collaborative multi-agents; workflow design, CrewAI intro, components, environment setup, building agents
Summary: Develop an AI research agent with AutoGen
- Topics: Roles & conversations, termination, human-in-the-loop, code executor, tool use, Conversation patterns; development, deployment, monitoring
Summary: AI observability with LangSmith AgentOps practical implementation
- Topics: Langfuse overview, dashboard, tracing, LangSmith: setup, evaluation, prompt management, experimentation, workflow management , AgentOps practical implementation
Summary: Content writer agent in Wordware Design your SEO agent with Relevance AI Create an AI agent with Langflow
- Topics: No/low-code AI fundamentals: benefits/challenges, platform components, Build workflows without coding; drag-and-drop agent design, Integration, customization/fine-tuning
Portfolio Outcomes
- GitHub portfolio with 5+ agent projects covering single-agent, multi-agent, agentic RAG, and real business workflows
- Architecture diagrams + documentation so your work is easy to review and showcase
- Demo-ready walkthroughs (recorded demos or short presentations for projects)
- Verified GIofAI certificate / digital badge for LinkedIn and resume
- Confidence for technical interviews for Agentic AI / LLM application roles
- Hands-on skills in agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, Phidata)
- AgentOps-ready projects with tracing/evaluation using Langfuse and LangSmith
- Deployment exposure through the cloud bonus module (AWS Bedrock, Azure OpenAI, GCP Vertex AI)
Program Support & Career Services
- Mentor-led guidance during your learning journey (doubt clearing + project direction)
- Weekly office hours for Q&A, debugging, and architecture reviews
- Code & project reviews with practical feedback to improve quality and reliability
- Portfolio support (GitHub readiness, documentation, demo preparation)
- Interview preparation for Agentic AI / LLM application roles (project-based questions, system design thinking)
- AgentOps troubleshooting support (tracing, evaluation, performance tuning)
- Career coaching support (resume/LinkedIn positioning + role targeting)
- Community + accountability (progress check-ins and structured completion path)
Why Choose This Program
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Practical Agent-Building Skills: Learn by building real agents using modern frameworksโso you can apply skills immediately on the job.
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Hands-On Portfolio: Graduate with 5+ agent projects + a capstone architecture you can showcase on GitHub.
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Mentorship & Feedback: Get expert guidance, office hours, and project reviews to help you finish strong and build correctly.
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AgentOps & Reliability Focus: Learn tracing, evaluation, and monitoring so your agents work beyond demos in real environments.
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Multi-Agent + RAG Expertise: Build advanced workflows with agentic RAG, memory/state, and multi-agent collaboration.
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Career Readiness: Get support for resume/LinkedIn positioning, portfolio presentation, and interview preparation for Agentic AI roles.
Continue Your Growth
After the core program, you can deepen the impact with:
- Executive Advisory (custom) โ ongoing support for your leadership team to review progress, refine roadmap, and unblock decisions.
- Implementation Sprint (6โ8 weeks) โ work alongside our team to take 1โ2 priority AI use cases from strategy into live deployment.
- In-House Leadership Program โ run a tailored version of GIofAI for your wider leadership group or business units.
Become an โAgentic AI-Ready Professionalโ โ Fast
Our participants walk away with:
- A clear agent-building roadmap (what to build first, which frameworks to use, and how to scale from prototype to production).
- 3โ5 real agent use cases you can apply to your workโeach with defined value, feasibility, tools required, and next steps.
- Architecture confidence: how to design agents with planning, tool-use, memory/state, and safe human-in-the-loop guardrails.
- Reusable templates: agent workflow canvases, prompt/tool design checklists, evaluation rubrics, and deployment best practices.
- A portfolio you can prove: project demos + GitHub-ready implementations that show real agentic capability.
- AgentOps readiness: tracing, evaluation, monitoring, and iteration methods to improve reliability over time.
All the Support You Need
Mentors, community, toolchains, and job launch support โ all built in.
1-on-1 Mentorship
Personal guidance from experienced mentors to help you plan your learning path, review agent designs, and improve project quality.
Live Office Hours & Community
Weekly office hours for doubt-clearing and live debugging, plus an active learner community so youโre never stuck alone.
Real-World Agent Toolkits
Work hands-on with modern agent frameworks and observability tools used in real teamsโLangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, Langfuse, LangSmith, and more.
Career Launch Services
Support for resume/LinkedIn positioning, portfolio presentation, interview preparation, and role targeting for Agentic AI and LLM application roles.
Professional Certificate
Earn an industry-recognized credential and a digital badge you can add to your LinkedIn within minutes of completion.
- Shareable digital badge (Open Badge standard)
- One-click verification for recruiters and hiring managers
- Certificate ID & QR for resumes and portfolios
Voices From Our Alumni Network
Powerful success stories that reflect the value, growth, and real-world outcomes of their journey with us.
The Agentic AI Professional Award finally connected AI buzzwords to real business value. I walked away with a clear strategy, an operating model, and the confidence to lead AI discussions with our exec team.
Investment & Next Steps
Seats are limited to maintain quality mentorship and peer support.
- Live instructor-led sessions + guided learning path
- Hands-on labs and real-world agent builds
- 5+ portfolio projects + capstone architecture guidance
- Access to modern agent frameworks and observability/AgentOps practices
- Mentorship support and project feedback
- Certificate / digital credential on successful completion
Scholarships & Payment Plans
We aim to keep the program accessible. Limited scholarships and flexible plans are available.
- Limited scholarships for non-profits, public sector, and startups
- Group discounts for executive teams and in-house cohorts
- Flexible invoicing and split-payment options
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