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Guided Projects in AI Agents

Learn to architect, build, and deploy enterprise-grade AI agent systems in this hands-on, mentor-led program. Gain practical skills and real project experience to confidently apply AI agents in production environments.

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Team of friendly AI agent robots
7+Agentic Systems10+Core Skills100%Projects Deployed End-to-End
Who Can Join This Course

We transform you into an AI Agent expert

Software EngineersBuild production-ready AI agents
Data ScientistsApply agentic reasoning and tool orchestration
Senior ArchitectsDesign enterprise-scale agent systems
Project ManagersDeliver AI agent–driven solutions
CTOsLead strategic AI agent adoption and governance
Detailed Curriculum

Learn to Architect, Build, and Deploy AI Agents Projects

What you'll Learn
  • What AI Agents are and why they matter in modern systems
  • Agent lifecycle: Perception → Reasoning → Action → Feedback
  • Core components: LLMs, tools, memory, orchestration
  • Concepts of autonomy, planning, memory, and feedback loops
  • Industry use cases across healthcare, finance, SaaS, and operations
  • Hands-on: Build a rule-based agent
  • Project: Healthcare Patient Triage Agent
Skills you'll gain
Agent fundamentalsPrompt engineering basicsTranslating business problems into agent workflowsRapid prototyping of AI agents

*Full module and project detail is in this page’s curriculum — use your browser’s Print → Save as PDF for a shareable copy.

  • Tool design and function calling that survives real inputs
  • Prompt engineering and versioning for agent reliability
  • Agent memory: short-term state and long-term stores
  • Failure boundaries, retries, and structured outputs

  • Role design: planner, worker, critic, and router agents
  • Agent-to-agent communication and shared state
  • Building collaborative teams with CrewAI and LangGraph
  • Cost and latency budgets for multi-agent runs

  • Single vs. multi-agent architectures — trade-offs that matter
  • Agentic RAG: retrieval as a tool, not a pipeline
  • Vector databases and embedding strategy for agents
  • MCP and A2A interoperability protocols

  • Graph-based orchestration with LangGraph
  • Human-in-the-loop checkpoints and approvals
  • Routing policies, fallbacks, and queue design
  • State persistence across long-running workflows

  • Guardrails: input validation, output policies, and safety boundaries
  • Evaluation harnesses for agent behaviour
  • Incident response for agentic systems
  • Versioning prompts, tools, and agent configurations

  • Tracing every step of an agent run end-to-end
  • LLM evaluation and monitoring in production
  • Token accounting and cost control per workflow
  • Detecting drift, loops, and silent failures

  • Packaging agents with Docker, FastAPI, and Streamlit
  • Serverless AI and model deployment at scale
  • Model serving choices: latency, throughput, cost
  • Release gating with evaluation baselines

  • API-level metrics: latency, error rates, and saturation
  • Dashboards and alerting for live agent systems
  • Quality regression monitoring after every release
  • Closing the loop: production feedback into agent design
Real Builds, Not Toy Demos

Glimpse of in-course projects

Beginner

Patient Triage Agent (Healthcare)

Build an AI-powered triage assistant that collects patient symptoms, reasons with medical rules and LLMs, and recommends urgency, tests, and departments. Learn how AI agents support safe, structured decision-making in regulated healthcare environments.

Intermediate

Market Research Copilot

Design a multi-agent research system where planner, researcher, and summarizer agents collaborate to answer complex market questions. Master orchestration, delegation, and synthesis to produce executive-ready strategic insights.

Advanced

Dynamic Pricing Orchestrator (E-commerce)

Create an agentic pricing engine that adapts in real time to demand, competitors, and inventory constraints. Apply AgentOps practices—evaluation, guardrails, and monitoring—to deliver transparent, compliant, production-grade pricing decisions.

Advanced

Financial Audit Copilot (Enterprise Finance)

Develop a high-trust audit copilot that analyzes financial records, flags discrepancies, and produces fully explainable audit reports. Learn how to build traceable, compliant AI systems for high-stakes enterprise workflows.

Technology Stack

Tools involved in this course

LangChainOpenAIHugging FaceLangGraphPineconeChromaCrewAIDockerFastAPIStreamlit
Graduate illustration in cap and gown on a purple gradient background
After the Program

Outcomes you can expect

Complete this comprehensive course and receive an industry-recognized Certificate of Excellence that validates your advanced AI agent engineering skills.

Confidently create Agentic Systems
Hands-On Project Experience
Solve Complex Industry Problems
Join a Network of Professionals
Master Architect of AI Agents
Job-Ready Portfolio
Course Mentors

Meet our Mentors

Saurabh ShahaneLead Instructor
Saurabh Shahane
Founder & CEO, The Machine Learning Company
  • Over 8+ years of professional experience building and delivering industry and research Data Science, GenAI, and Enterprise AI projects across multiple domains
  • Impacted more than 10,000 professionals through high-quality, outcome-driven learning initiatives in Data Science, GenAI, and AI systems
  • Kaggle Grandmaster
  • Consulted leading global enterprises and high-growth startups on designing and deploying scalable Enterprise AI and GenAI solutions
  • Through courses, workshops, and mentorship, has guided numerous individuals to success in data science, fostering a supportive and knowledge-rich learning environment
Chirag ChauhanProject Instructor
Chirag Chauhan
ML Engineer, The Machine Learning Company
  • 4+ years of hands-on experience in Data Science and Machine Learning, specializing in building, fine-tuning, and deploying ML, GenAI, and LLM-powered solutions
  • Strong expertise across the full ML and GenAI lifecycle — data acquisition, preprocessing, model training, prompt engineering, evaluation, and production deployment
  • Kaggle Master
  • MLOps expert focused on production-ready ML and GenAI systems through automated pipelines and lifecycle management — specialized in agentic AI architectures combining LLMs, tools, and orchestration
Enrollment

Ready to invest in yourself?

50% Early Bird Discount
INR6,99914,000

Secure the limited spots with early bird offer

  • Certificate of Completion
  • Interview ready projects in your portfolio
  • Self Paced Program
  • 6+ Projects in Portfolio
  • Access to Project Code & Templates
  • 1:1 Doubt Support
  • Industrial Projects
  • Job / Research Opportunities in special cases
Pay and Enroll — ₹6,999

Secure Razorpay checkout — UPI, cards, and netbanking. Questions first? Chat on WhatsApp or send us your details.

Success Stories

Don't just take our word, see for yourself

“This is a wonderful program with hands-on data science projects. I got great exposure working with real datasets and deploying ML models to cloud resources. The TMLC team has rock solid knowledge and expertise to guide on real-time issues. Every mentor session was really helpful with lots of insights.”

Sandeep Raj
Software Engineer, Doodle Labs

TMLC got selected for prestigious Seed Spark program by Stanford GSB

The Machine Learning Company got selected in the 6th cohort of the Seed Spark program offered by the Stanford Graduate School of Business. A total of 140 startups were selected from the South Asia region — and TMLC was one of them.

Selected from 140 startups across the South Asia region
6th cohort of the Seed Spark Program
Offered by the Stanford Graduate School of Business
Recognised for educational excellence and innovation

Joined by Software Developers,
CTOs, Data Scientists, VPs, Directors,
Architects and many Tech Professionals

Live cohort session — video call grid of participantsLive mentor session — video call grid of participants
Certification

Get Certified in GenAI Engineering

Complete this comprehensive course and receive an industry-recognized Certificate of Excellence that validates your advanced AI agent engineering skills.

Digital certificate with secure verification
LinkedIn-ready certification
Portfolio-worthy proof of advanced AI skills
Industry-standard formatting for resume inclusion
TMLC Academy Certificate of Excellence samples
The TMLC Difference

Why TMLC?

01

Clear, Actionable Learning

Master AI concepts and apply them in real-world scenarios from day one.

02

Build, Don't Just Learn

Create and showcase industry-relevant projects that demonstrate your AI expertise.

03

Real-World Impact

Solve real AI challenges and gain skills that set you apart in the workplace.

04

Portfolio-Ready Expertise

Graduate with a proven track record of AI projects that highlight your capabilities.

Community

Become Part of the Next-Gen AI Professionals Community

Join our dynamic AI community for developers and tech professionals. Engage with peers, exchange insights, collaborate on real projects, and build connections that accelerate your professional growth through collective expertise.

Illustration of professionals collaborating and sharing ideas
FAQs

Frequently asked questions

Sessions are live with hands-on builds and reviews. Every session is recorded and shared the same day, so you never lose progress if you miss one.

Comfort with Python and Git is enough. No prior agents or GenAI experience is required — we start from agent foundations and build up.

The program spans 9 modules of guided content paired with builds. It is self-paced — plan for roughly 8–10 hours per week.

All recordings, code repositories, datasets, slide decks, and project templates — plus 2 years of access to everything, including updates.

Live sessions run on weekends and select evenings, scheduled to work around a full-time job. Exact slots are shared with your cohort before kickoff.

Program fees are non-refundable once paid, so we encourage you to get every question answered before enrolling — message us on WhatsApp and we'll help you decide honestly, including whether this program is the right fit. See our Refund Policy for the narrow exceptions.

Become part of the top 1% in Data and AI talent. Join TMLC.

Enroll Now — ₹6,999

Secure Razorpay checkout. Still deciding? Ask us anything on WhatsApp.