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Applied Agentic AI Certification · Live online · 8 weeks · Mentor-led

Applied Agentic AI Certification.

Build agentic AI systems that actually work in the real world. An eight-week, mentor-led Datamarcos certification for professionals who want to move beyond prompts and build production-ready AI workflows, RAG systems, tool-using agents and automation.

  • Go beyond using ChatGPT, Claude or Copilot: agent architecture, tool calling, APIs and agentic workflows
  • Build a project in every module, ending in an integrated multi-agent capstone
  • Hands-on with n8n, LangChain, LangGraph, CrewAI and MCP. No prior AI experience required

Small-batch live cohorts · EMI options available, talk to a counsellor

Watch: Build. Automate. Deploy.Program overview with mentor Deepesh Mishra
Duration
8 weeks
Modules, one per week
8
Mentorship
1:1 + live Q&A
Prior AI experience
None needed

Why this, why now

The gap between using AI and building with it.

Most professionals use ChatGPT, Claude or Copilot. Far fewer know how agentic systems are designed and built: agents that reason, call tools, work with software and take action.

This certification closes that gap in eight weeks, with a working project at every step.

  1. 01

    Answer → act

    AI is moving from answering questions to reasoning, using tools, and taking action.

  2. 02

    Build, not prompt

    Companies are hiring engineers who can build agentic systems, not just prompt a chatbot.

  3. 03

    Start now

    The shift toward agentic AI is already here. You don't need to wait for AGI to prepare.

Career outcomes

Where Applied Agentic AI takes you.

Whether you're in QA automation, backend development or product management, agentic AI skills change what you can build and own.

Starting pointWhat changes after this program
Automation QA / Test EngineerBuilds and evaluates AI agents, not just test scripts
Software / Backend DeveloperDesigns tool-using, agentic systems on top of existing APIs
Technical Product ManagerSpeaks fluently on agent architecture and can scope AI-native products
Data / AI ProfessionalMoves from using AI tools to engineering production agentic systems

Roles you become ready for

  • AI Agent Engineer
  • Agentic AI Developer
  • GenAI Solutions Engineer
  • AI Automation Engineer
  • AI Product Engineer

Titles vary by company. We don't guarantee placement, salary or hikes.

Who it's for

Built for professionals ready to build.

You don't need to be an AI expert. You do need curiosity and the willingness to code along.

Who this course is for

  • Automation QA / test automation professionals
  • Software engineers & developers: backend, frontend, full stack
  • Technical product managers
  • Professionals exploring AI-powered development workflows
  • Early-career professionals building practical AI skills

Prerequisites & eligibility

  • You don't need to be an AI expert or come from a technical background
  • Open to learning basic Python programming
  • Comfortable exploring new tools and hands-on exercises
  • No prior AI experience required: beginner-friendly refreshers provided

Not the right fit if

  • You want a watch-only, self-paced video course
  • You expect a guaranteed job or salary

Curriculum · 8 weeks · 2 months

From LLM foundations to a multi-agent capstone.

One module a week, each with a hands-on project. Pick a month, then open any week for topics, the project and tools.

Get the full syllabus PDF
    • Transformer intuition, attention, tokenization and embeddings
    • Context window limits and hallucination causes
    • Prompt vs retrieval vs fine-tuning
    • Hands-on with the OpenAI, Gemini and Claude SDKs

    LabMulti-SDK LLM Playground: query OpenAI, Gemini and Claude side by side

    ToolsOpenAI, Gemini and Claude SDKs

What you'll build

Live projects, not theory slides.

Every module ends in something that runs. By Week 8 they come together in one integrated agentic AI application.

  • Week 1 · LLM foundations

    Multi-SDK LLM Playground

    Query OpenAI, Gemini and Claude side by side and compare how they behave.

    • OpenAI SDK
    • Gemini SDK
    • Claude SDK
  • Week 2 · prompting & structured output

    Sentiment & Intent Classifier

    Classify call-center transcripts by sentiment and intent, with an evaluation harness.

    • Structured JSON
    • Function calling
    • Evals
  • Week 3 · retrieval

    Production RAG Knowledge-Base Chatbot

    Ingest PDFs and docs into a company knowledge base with hybrid search and reranking.

    • Vector DB
    • Hybrid search
    • Reranking
    • RAGAS
  • Week 4 · agents

    Researcher & Customer Care Agents

    A researcher-and-summarizer agent and a customer care agent that use live tool calling.

    • ReAct
    • Memory
    • Tool calling
  • Week 5 · orchestration

    Multi-Agent Research Coordinator

    A coordinator dispatches specialist sub-agents on financial news and produces a structured report.

    • CrewAI
    • LangGraph
  • Week 8 · capstone

    Integrated Agentic AI Application

    A fully integrated multi-agent application combining RAG, agents, multi-agent orchestration and MCP.

    • RAG
    • Agents
    • Multi-agent
    • MCP

Every tool you will learn and use

The SDKs and frameworks agentic AI teams use.

Hands-on with the exact SDKs, frameworks and platforms, not just theory slides.

Models & SDKs

  • Python
  • OpenAI SDK
  • Gemini SDK
  • Claude SDK
  • tiktoken

Agents & orchestration

  • LangChain
  • LangGraph
  • CrewAI
  • Google ADK
  • MCP SDK
  • n8n

Retrieval & vector stores

  • FAISS
  • ChromaDB
  • Pinecone
  • Weaviate

Evals, safety & serving

  • RAGAS
  • LangSmith
  • Langfuse
  • Guardrails AI
  • FastAPI

Product and company names are trademarks of their respective owners and are shown for identification only; no affiliation is implied.

Deepesh Mishra, founder and lead mentor at Datamarcos Lead mentor

Know your mentor

Deepesh Mishra

Founder, Datamarcos · Solution Architect · Corporate Trainer · BITS Pilani alumnus

Deepesh is a Solution Architect and Corporate Trainer with 18+ years of industry experience who has trained 25,000+ professionals across 200+ organizations. In this certification he goes beyond using AI tools to how agentic systems are designed and built, with practical work on agent architecture, tool calling, APIs and agentic workflows.

Professionals trained
25,000+
Organizations
200+
Years in industry
18+
Countries
10+

Learner proof

Where our learners are now.

Real learners and teams who trained with Deepesh Mishra, in their own words. Every story links to its source.

As reported by Datamarcos & learners

Professionals trained
25,000+
Organizations
200+
Years in industry & training
18+
Countries reached
10+
Live online programs
4

Reach figures as published by Datamarcos. Learner stories are shared by the learners themselves (LinkedIn recommendations and messages, quoted verbatim). No placement, salary or hike is guaranteed; outcomes depend on each learner.

Company network

Where our learners work & teams we’ve trained

Based on learners’ own LinkedIn profiles, corporate trainings and Deepesh Mishra’s career. Logos and names are trademarks of their respective owners, shown only to indicate where learners and clients work; no endorsement is implied.

Learner report: in their own words

All recommendations on LinkedIn
Ansh RanjanData Engineer (Hexaware Technologies)
BeforeComplete beginnerin Data Engineering
AfterData EngineerHexaware Technologies
“As a complete begineering in Data Engineering, I was confused where to start and how to do effective practice. Learning under Deepesh Sir has been a great opportunity. All my doubts were dispelled and I was able to hone my skills with great hands on activities and projects…”
LinkedIn recommendation · Data Engineering Verified on LinkedIn
Raghul KData Engineer
BeforeData Engineering learnerDatamarcos
AfterData Engineer
“So sir In this journey I have learnt many things without you it wouldn't have been possible sir. Thank You so much sir ❤️ for making me a Data Engineer.”
Message to Deepesh · shared with consent See original message
Kumar GauravSenior Azure Data Engineer (PwC · Ex-EY · Ex-Genpact)
“His deep understanding of the subject, combined with a clear and engaging teaching style, made complex concepts easy to grasp—even for those new to the field. … He encouraged questions, discussions, and ensured every participant walked away with valuable insights and a stronger foundation in GenAI.”
LinkedIn recommendation · 2-day Generative AI training (client) Verified on LinkedIn
Samyuktha BhavanamData Engineer (PySpark, SQL & Azure)
“I had the opportunity to learn under Deepesh Mishra during my Data Engineering training, and I can confidently say he is one of the best trainers I've come across. His teaching style is clear, engaging, and highly effective.”
LinkedIn recommendation · Data Engineering training Verified on LinkedIn
Lakshan S J, Datamarcos learnerLakshan S JPassionate Innovator in Tech Development
“What stood out most was his approach to training — he gave us the freedom to explore and emphasized practical learning through hands-on assignments and programming exercises. … Highly recommended for anyone who wants to learn deeply and practically!”
LinkedIn recommendation · Training with Deepesh Verified on LinkedIn
Shivani KapoorTechnical Trainer (Freelance)
“Mr Deepesh Kumar Mishra had been a great mentor and guide. He not only did this just as a job he really wants his students to learn and grow. His grasp over the concepts of data Sciences is amazing.”
LinkedIn recommendation · Data Science (client) Verified on LinkedIn
Industry peer
“Deepesh possesses excellent communication skills and demonstrates in-depth expertise in both Generative AI and Data Engineering.”
Gaurav Taluja · Senior Consultant, PwC · Ex-Accenture Verified on LinkedIn

Choose your course

Applied Agentic AI or a longer program?

How the three Datamarcos AI courses compare, so you can start at the right depth.

FeatureApplied Agentic AIGenAI & Agentic AI EngineerForward Deployed AI Engineer
Length8 weeks (2 months)18 weeks · 130+ hours22 weeks · 170+ live hours
Starting pointNo prior AI experience; open to learning basic PythonPython basics and engineering fundamentals, or strong projectsComfortable Python, about 2+ years of engineering experience
FocusAgent architecture, tool calling, RAG, multi-agent, MCP and automationLLM apps, RAG, agents, security, LLMOps and cloud deploymentShipping secure AI inside a customer's environment, plus discovery, SOWs and handover
ProjectsA project every module + an integrated capstone3 client-style projects + capstone4 client-style engagements incl. capstone
CertificateDatamarcos Applied Agentic AI CertificationDatamarcos Executive CertificateDatamarcos Executive Certificate

Explore the GenAI & Agentic AI Engineer and Forward Deployed AI Engineer programs.

Not sure which fits? A counsellor can walk you through the syllabus, batch dates and EMI options in 15 minutes.

Talk to a counsellor

Certificate & support

A certificate backed by projects you can show.

Every learner who completes the program receives the Datamarcos Applied Agentic AI Certification, validating hands-on proficiency across LLMs, RAG, agents, multi-agent orchestration and MCP.

  • Small-batch, interactive live sessions led directly by Deepesh Mishra
  • Real-time Q&A and doubt resolution
  • 1:1 mentorship and career support
  • Continued mentorship as you apply these skills at work

We do not guarantee placement, salary or hikes. Outcomes depend on each learner.

FAQ

Questions, answered.

Can't find yours? A counsellor will answer it on a short call.

Ask a counsellor

Choosing a framework? Read LangGraph vs CrewAI vs AutoGen.

Do I need prior AI experience?

No. No prior AI experience is required, and beginner-friendly refreshers are built into every module. You should be open to learning basic Python and comfortable with hands-on exercises.

How long is the program?

Eight weeks (2 months): Month 1 takes you from LLM foundations to RAG and your first agents, and Month 2 covers multi-agent systems, MCP, voice and automation, evaluation and your capstone.

Who is it for?

Automation QA and test professionals, software engineers and developers, technical product managers, professionals exploring AI-powered development workflows, and early-career professionals building practical AI skills.

Are the sessions live?

Yes. Small-batch, interactive live sessions are led directly by Deepesh Mishra, with real-time Q&A and doubt resolution, plus continued mentorship as you apply the skills at work.

What will I build?

A project in every module: a multi-SDK LLM playground, a sentiment and intent classifier, a production RAG knowledge-base chatbot, researcher and customer care agents, a multi-agent research coordinator, an MCP server and a voice-enabled assistant, ending in an integrated agentic AI capstone.

Which tools are covered?

Python, the OpenAI, Gemini and Claude SDKs, LangChain, LangGraph, CrewAI, Google ADK, n8n, FAISS, ChromaDB, Pinecone, Weaviate, RAGAS, LangSmith, Langfuse, Guardrails AI, the MCP SDK and FastAPI.

Will I get a certificate?

Yes. Every learner who completes the program receives the Datamarcos Applied Agentic AI Certification, validating hands-on proficiency across LLMs, RAG, agents, multi-agent orchestration and MCP.

Will I get a job after this?

We do not guarantee placements, salaries or hikes. You leave with portfolio projects, an integrated capstone and career support.

What is the fee and next batch date?

EMI options are available. Our counsellor shares the fee, instalment options and the next batch date after a short call.

Which Datamarcos course should I pick?

Start with Applied Agentic AI if you want a focused 8-week path into agents. Choose the 18-week Generative AI & Agentic AI Engineer program for deeper production, security and LLMOps work.

The full program guide

Read the 8-week curriculum.

Modules, projects, tools and mentor details in one PDF.

Download PDF

Full program guide

Applied Agentic AI Certification brochure

Share your details once to read and download the complete syllabus.

Unlock the syllabus

Small-batch live cohorts

Six months from now, you could be shipping agents.

Share a few details. A counsellor will talk through your background, the next batch date, EMI options and enrollment steps.

  • A project every module + an integrated multi-agent capstone
  • Live, mentor-led sessions with Deepesh Mishra
  • RAG, agents, multi-agent, MCP, voice and n8n automation
  • Honest outcomes: no placement or salary guarantees
  • 7-day refund policy: not right for you? Ask within 7 days for a refund.
Prefer to read first? Get the syllabus
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