The Agentic Developer Course: Master AI-Assisted Full-Stack Engineering– Live Training
(Master AI Assisted Coding, Prompt Engineering, React, FastAPI & Production Deployment)
Master the future of software development with our The Agentic Developer Course: Master AI-Assisted Full-Stack Engineering program — a hands-on course designed to help you build modern, intelligent applications using AI-powered development tools and industry-leading technologies.
This program combines Python development, Generative AI, Prompt Engineering, Full Stack Development, and AI-assisted coding workflows to prepare you for the next generation of software engineering careers.
You will start with Python fundamentals, developer tools, Git, APIs, and modern development environments. Then, you’ll explore the exciting world of Artificial Intelligence, Large Language Models (LLMs), Agentic AI, and Prompt Engineering to understand how modern AI systems work and how developers can effectively interact with them.
The course provides practical experience with GitHub Copilot and Claude Code, enabling you to build real-world AI-assisted applications faster and smarter. You will learn how to create responsive frontends using React or modern JavaScript frameworks, develop scalable backends with Python FastAPI, and integrate databases using PostgreSQL.
About the Instructor:
| Yash is a Senior QA Lead at Wrkspot with over 8 years of extensive IT industry experience, having worked with leading global organizations such as Meesho and Cisco. He brings deep expertise in UI and API automation testing, specializing in modern tools and frameworks including Playwright, Selenium, RestAssured, Cucumber, TestNG, Postman, and Python Requests. Yash is highly skilled in designing robust, scalable, data-driven automation frameworks from scratch, with strong hands-on experience in cross-browser testing and CI/CD pipeline integration.
In addition to core automation, Yash has expanded his focus into AI-driven automation and intelligent testing solutions. He currently delivers advanced training on AI Agent Bootcamps, including workflow automation using n8n, where he teaches learners how to build smart, event-driven automations and AI-powered workflows. His training approach blends traditional test automation with AI agents, enabling faster test generation, self-healing automation, and smarter execution strategies aligned with modern industry needs. For the past two years, Yash has been actively involved in training and mentoring automation professionals, conducting multiple Playwright and AI automation training programs and successfully guiding a large number of learners into real-world projects. He also holds intermediate proficiency in DevOps technologies such as Docker, Docker Swarm, Ansible, and Kubernetes, strengthening his ability to teach end-to-end automation within CI/CD and cloud-native environments. Passionate about teaching and continuous learning, Yash’s long-term vision is to evolve into an Automation and AI-Driven DevOps Engineer, combining strong technical expertise with mentoring excellence to drive high-quality software delivery. |
Sample Videos:
The Agentic Developer Course- Live Training Demo Video:
The Agentic Developer Course- Live Training Day1 Video:
Live Sessions Price:
For LIVE sessions – Offer price after discount is 300 USD 109 USD or 25000 INR 8,900 Rupees
OR
Free Day 2 On:
Indian Timings: 11th June @ 9 PM – 10 PM (IST)/
U.S Timings: 11th June @ 11:30 AM – 12:30 PM (EST)/
U.K Timings: 11th June @ 4:30 PM – 5:30 PM (BST)
Class Schedule:
For participants in India: Monday to Friday @ 9 PM – 10 PM (IST)
For participants in US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)
For participants in UK : Monday to Friday @ 4:30 PM – 5:30 PM (BST)
What Students Say about the trainer:
| ⭐ The trainer explained The Agentic Developer Course: Master AI-Assisted Full-Stack Engineering concepts in a very simple and practical way. I learned Python, FastAPI, React, and AI tools like GitHub Copilot with real-time examples. The hands-on sessions were excellent. – Kumar
⭐ Excellent course for learning Full Stack Development with AI tools like GitHub Copilot and Claude Code. The trainer covered Prompt Engineering, LLMs, and backend development simply. Real-time projects helped me improve my coding skills. Great learning experience overall. – Priya ⭐ The practical sessions and real-world projects made learning AI-assisted development very easy. – Joshi ⭐ One of the best industry-focused training programs I have attended. The course covered both full-stack development and modern AI tools in detail. The trainer supported us throughout the practical sessions and projects. I gained hands-on experience in React, FastAPI, and PostgreSQL integration. The learning environment was interactive and professional. – Sneha ⭐ The trainer provided clear explanations and real-world examples throughout the course. I gained strong knowledge in AI-assisted application development. – Vijaya |
Who can enroll for this course?
- Students & Fresh Graduates interested in AI and Full Stack Development
- Python Developers looking to integrate AI into modern applications
- Full Stack Developers who want to accelerate development using AI Tools
- Software Engineers interested in Generative AI and AI-Assisted Coding
- Tech Professionals planning to upgrade to AI-Powered Development Workflows
- Beginners with basic programming knowledge who want to build modern web applications
- Developers interested in GitHub Copilot, Claude Code, FastAPI, React, and PostgreSQL
- Anyone passionate about building Intelligent AI-Assisted Applications and automation systems
Salient Features:
- 20 Hours of Live Training along with recorded videos
- Lifetime access to the recorded videos
- Course Completion Certificate
What will I learn by the end of this course?
- Build AI-Assisted Full Stack Applications from scratch
- Understand the fundamentals of AI, Generative AI, LLMs, and Agentic AI
- Master Python Programming for modern AI-powered development
- Work with APIs, JSON, Async/Await, and Backend Integrations
- Use GitHub Copilot and Claude Code to improve coding productivity
- Design effective prompts using Prompt Engineering Techniques
- Learn Chain-of-Thought (CoT), Few-Shot Prompting, Tree-of-Thought (ToT), and Structured Outputs
- Develop modern frontend applications using React or JavaScript Frameworks
- Build scalable backend APIs using Python FastAPI
- Integrate databases using PostgreSQL
- Understand how AI Agents work using the Perceive → Reason → Act → Observe lifecycle
- Learn different Agent Architectures like ReAct and Plan & Execute
- Manage code efficiently using Git & GitHub workflows
- Create production-ready applications using modern Full Stack Architecture
- Gain hands-on experience through Real-World AI Development Projects
- Improve software development speed using AI Coding Assistants and Automation Tools
Course syllabus:
Module 1: Python & Dev Environment Bootcamp
- Python essentials for AI: functions, loops, APIs, JSON, async/await
- Setting up VS Code, GitHub Copilot, virtual environments, API keys
- Git basics — committing, pushing, branching
Module 2: The AI Landscape & LLM Foundations
- The story of AI → ML → Deep Learning → GenAI → Agentic AI
- Why now?
- How LLMs work — tokens, context windows, temperature, model families (GPT, Claude, Gemini)
- Limitations of LLMs alone → why agents exist
- Agent lifecycle — Perceive → Reason → Act → Observe
- Agent types (ReAct, Plan & Execute)
Module 3: Prompt Engineering Mastery
- System prompt design — roles, constraints, personas
- Chain-of-Thought (CoT) + Few-shot prompting
- Tree-of-Thought (ToT) + Self-consistency
- Structured outputs — JSON mode, output parsers, schema enforcement
Module 4: Build a AI Assisted Full Stack App with Github Copilot
- Introduction to Github Copilot and How to use it
- Build Frontend using React or Any Javascript Framework
- Build a Backend using Python FastAPI Framework
- Implement a Database Layer using Postgresql
Module 5: Build a AI Assisted Full Stack App (Claude Code builds a FastAPI backend + simple frontend around a prompt-engineered agent)
- Introduction to Claude Code and How to Use it
- Build Frontend using React or any Javascript Framework
- Build a Backend using Python FastAPI Framework
- Implement a Database Layer using Postgresql