Course Overview
About Course
Full‑Stack Agent AI Training equips developers to build and deploy intelligent, autonomous agents end‑to‑end—spanning model integration, memory, tool use, multi‑agent coordination, interfacing, monitoring, and deployment. The training closely aligns with Packt’s “Full‑Stack AI & Mastering AI Agents Bootcamp,” a recent, hands‑on video course that blends foundation‑level AI applications with deep dives into agent architectures
The program unfolds in two phases:
- Full‑Stack AI Applications: Early modules engage learners in practical AI builds—text summarizers, content writers, code debuggers, chat assistants—leveraging powerful LLMs like LLaMA, CodeLlama, Mistral, Deepseek, Phi‑2, and Qwen. Using Ollama for Python‑based deployment, participants rapidly prototype AI tools and interfaces
- AI Agent Development: Transitioning to agentic AI, the course focuses on constructing autonomous systems with memory, reasoning, and task orchestration. Learners build agents such as virtual assistants, document Q&A bots, web scrapers, and voice controllers. Emphasis is placed on modular design, agent loops, memory systems, function‑calling APIs, and multi‑agent workflows—empowering agents to interact, plan, and operate with autonomy
Key strengths include:
- Hands‑on labs: real‑world AI tools built from scratch.
- Production‑style deployment: using Ollama, Python, Docker for scalable systems.
- Agentic patterns: memory integration, tool orchestration, and multi‑agent design.
- Model diversity: work with LLaMA, Qwen, Mistral, CodeLlama, Phi‑2, Deepseek.
- Comprehensive architecture: from single‑agent systems to multi‑agent coordination and observability.
Ideal for AI developers and engineers with Python skills, the course guides learners to architect, deploy, and scale full‑stack AI solutions and intelligent agent systems. By the end, participants emerge with the ability to design and launch context‑aware, autonomous AI agents capable of real‑world applications—from content generation and Q&A to multi‑agent orchestration and deployment ready for production.
Course Syllabus
Module 1: AI Foundations & Agent Concepts (6 h)
- Introduction to LLMs & AI Agents
Covers LLM basics, retrieval‑augmented generation (RAG), conversational AI, and the GAME framework (Goals, Actions, Memory, Environment) - Prompt engineering, agent loops, and hallucination avoidance strategies.
Module 2: Building Single Agents in Python (8 h)
- Core architecture: agent loop, memory, tool integration.
- Function calling & tool orchestration: connecting agents to external workflows/web APIs
- Practical labs: build a Python-based file explorer agent and a Q&A bot.
Module 3: Agent Tools & Memory Systems (6 h)
- Tool wrapper patterns using decorators, modular design, and agent toolkits
- Memory architectures: from stateless prompts to vector/knowledge-based memory.
- Hands‑on plugin: upgrade your README agent to include persistent memory.
Module 4: Autonomous Multi‑Agent Systems (8 h)
- Multi-agent orchestration: design patterns for agent collaboration and task delegation
- Reasoning pipelines, prompt chaining, decision‑making.
- Monitoring: set up observability (Grafana), evaluation & debugging pipelines
Module 5: Full‑Stack AI Integration & Deployment (6 h)
- Web/API integration: build frontend/backends (FastAPI), connect databases, integrate agents into web apps.
- Deployment: container deployment, autoscaling, handling production constraints.
- Optimizations: cost management, latency reduction, caching & rate limiting.
Module 6: Advanced Topics & Ethics (6 h)
- Generator models: modular content agents (summarizers, code‑completion bots).
- Ethics & safety: guardrails, bias mitigation, hallucination checks
- Explainability: tracing, test coverage, logs for agent actions
Capstone Project & Wrap‑Up (8 h)
- Build a production‑ready multi‑agent system, e.g., a customer support AI with retrieval, workflow, memory, and UI.
- Project showcase: presentations, peer reviews, performance testing, deployment.
Key Features
- Hands-on coding: labs include file explorers, Q&A agents, memory-enhanced bots, full multi-agent systems.
- Expert instructors: experienced Python and AI architects from top platforms cited above.
- Peer learning & code reviews: group sessions, collaborative debugging, and feedback.
- Tooling coverage: Python, FastAPI, Docker, vector DBs (Weaviate/Pinecone), monitoring (Grafana), Git.
- Ethics/Safety integrated throughout (e.g. hallucination testing & bias analysis).
- Demo deployment: all projects are containerized and deployed to a cloud instance or local server.
Our Upcoming Batches
At Topskill.ai, we understand that today’s professionals navigate demanding schedules.
To support your continuous learning, we offer fully flexible session timings across all our trainings.
Below is the schedule for our Training. If these time slots don’t align with your availability, simply let us know—we’ll be happy to design a customized timetable that works for you.
Training Timetable
| Batches Online/Offline | Batch Start Date | Session Days | Time Slot (IST) | Fees |
|---|---|---|---|---|
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 11:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 5:00 PM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 PM (Class 1-1.30 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 7:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 10:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 11:00 AM (Class 3 Hrs) | View Fees |
For any adjustments or bespoke scheduling requests, reach out to our admissions team at
support@topskill.ai or call +91-8431222743.
We’re committed to ensuring your training fits seamlessly into your professional life.
Note: Clicking “View Fees” will direct you to detailed fee structures, instalment options, and available discounts.
Don’t see a batch that fits your schedule? Click here to Request a Batch to design a bespoke training timetable.
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