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.
- 01
Answer → act
AI is moving from answering questions to reasoning, using tools, and taking action.
- 02
Build, not prompt
Companies are hiring engineers who can build agentic systems, not just prompt a chatbot.
- 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.
Roles you become ready for
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.
- 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
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.
Multi-SDK LLM Playground
Query OpenAI, Gemini and Claude side by side and compare how they behave.
Sentiment & Intent Classifier
Classify call-center transcripts by sentiment and intent, with an evaluation harness.
Production RAG Knowledge-Base Chatbot
Ingest PDFs and docs into a company knowledge base with hybrid search and reranking.
Researcher & Customer Care Agents
A researcher-and-summarizer agent and a customer care agent that use live tool calling.
Multi-Agent Research Coordinator
A coordinator dispatches specialist sub-agents on financial news and produces a structured report.
Integrated Agentic AI Application
A fully integrated multi-agent application combining RAG, agents, multi-agent orchestration and 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.
Lead mentorKnow 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.
“Deepesh possesses excellent communication skills and demonstrates in-depth expertise in both Generative AI and Data Engineering.”
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.
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 counsellorCertificate & 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.
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.
Full program guide
Applied Agentic AI Certification brochure
Share your details once to read and download the complete syllabus.
Unlock the syllabusSmall-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.
