27-April-2025
ARTIFICIAL INTELLIGENCE
AI for Developers Training: Build and Deploy AI-Powered Applications in Just 3 Days
Build, Deploy, and Innovate with Advanced AI Tools and Practices for Modern Development Teams
Service
Engineer Tomorrow’s Software with Intelligent Workflows
Leverage Agentic AI, LLM Integration, and More for Unprecedented Dev Efficiency
Original price was: ₹45,000.00.₹35,000.00Current price is: ₹35,000.00. + Tax
24,25, 31 May 2025
Show Schedule
Training Schedule by Time Zones
| Time Zone | Day 1 (24th May 2025) |
Day 2 (25th May 2025) |
Day 3 (31st May 2025) |
|---|---|---|---|
| India (IST) | 4:30 PM – 11:30 PM | 4:30 PM – 11:30 PM | 4:30 PM – 11:30 PM |
| USA (EST) | 7:00 AM – 2:00 PM | 7:00 AM – 2:00 PM | 7:00 AM – 2:00 PM |
| USA (PST) | 4:00 AM – 11:00 AM | 4:00 AM – 11:00 AM | 4:00 AM – 11:00 AM |
| Europe (CET) | 1:00 PM – 8:00 PM | 1:00 PM – 8:00 PM | 1:00 PM – 8:00 PM |
| UK (GMT) | 12:00 PM – 7:00 PM | 12:00 PM – 7:00 PM | 12:00 PM – 7:00 PM |
| Middle East (GST/UAE) | 3:00 PM – 10:00 PM | 3:00 PM – 10:00 PM | 3:00 PM – 10:00 PM |
| Australia (AEST) | 9:00 PM – 4:00 AM (+1 day) | 9:00 PM – 4:00 AM (+1 day) | 9:00 PM – 4:00 AM (+1 day) |
*All times are approximate and subject to minor adjustments based on daylight savings or regional changes.
24 Hrs
Show More
AI Developer Workshop: Schedule
| Day 1 – 24th May 2025 | ||
|---|---|---|
| Session / Topic | Duration | Description / Details |
| Introduction & Objectives | 1 hour |
|
| Deep Dive: Agentic AI & LLM Concepts | 2 hours |
|
| 15 Min Break | ||
| Ollama for Local LLM Inference | 1 hour |
|
| 45 Min Break | ||
| Development Environment & Infrastructure Setup | 2 hours |
|
| 15 Min Break | ||
| Wrap-Up & Q&A | 30 minutes |
|
| Day 2 – 25th May 2025 | ||
| Session / Topic | Duration | Description / Details |
| Day 2 Kickoff | 30 minutes |
|
| Building a Custom AI Agent | 1.5 hours |
|
| 15 Min Break | ||
| Backend & Database Integration | 2 hours |
|
| 45 Min Break | ||
| Front-End Setup (React) | 1.5 hours |
|
| 15 Min Break | ||
| Short Review & Q&A | 30 minutes |
|
| Day 3 – 31st May 2025 | ||
| Session / Topic | Duration | Description / Details |
| Day 3 Kickoff | 30 minutes |
|
| Model Deployment & Monitoring | 2 hours |
|
| 15 Min Break | ||
| Capstone Project (First 2 of 3 hours) | 2 hours |
|
| 45 Min Break | ||
| Continue Capstone (Last 1 of 3 hours) | 1 hour |
|
| 15 Min Break | ||
| Final Presentations & Wrap-Up | 1 hour |
|
What Participants Will Learn
This course is structured to provide a comprehensive understanding of AI tools and techniques for developers. Here’s what you’ll learn:
Detailed Topic Covered
Training 3: AI for Developers – Detailed Topics
Note: This training starts at 4:30 PM IST. Participants joining from different time zones can refer to the Detailed Schedule section for timing adjustments. All durations are approximate and may vary slightly based on the pace of the session.
Day 1: Foundations, Tools, and Environment Setup
| Topic | Duration | Details |
|---|---|---|
| Introduction & Objectives | 1 hour |
|
| Deep Dive: Agentic AI & LLM Concepts | 2 hours |
|
| Ollama for Local LLM Inference | 1 hour |
|
| Development Environment & Infrastructure Setup | 2 hours |
|
| Wrap-Up & Q&A | 30 minutes |
|
Day 2: Advanced Development and Custom AI Agents
| Topic | Duration | Details |
|---|---|---|
| Day 2 Kickoff | 30 minutes |
|
| Building a Custom AI Agent | 1.5 hours |
|
| Backend & Database Integration | 2 hours |
|
| Frontend Development with React | 1.5 hours |
|
| Short Review & Q&A | 30 minutes |
|
Day 3: Deployment, Monitoring, and Capstone Project
| Topic | Duration | Details |
|---|---|---|
| Day 3 Kickoff | 30 minutes |
|
| Model Deployment & Monitoring | 2 hours |
|
| Capstone Project | 3 hours |
|
| Final Presentations & Wrap-Up | 1 hour |
|
Detailed Schedule
For participants joining from different time zones, here’s the schedule adjusted for 4:30 PM IST:
- Day 1: 4:30 PM – 10:00 PM IST
- Day 2: 4:30 PM – 10:00 PM IST
- Day 3: 4:30 PM – 10:00 PM IST
Please adjust the timings according to your local time zone. For example:
- PST (Pacific Time): 4:00 AM – 9:30 AM
- EST (Eastern Time): 7:00 AM – 12:30 PM
- GMT (UK Time): 12:00 PM – 5:30 PM
Additionally, What Participants Will Get
When you enroll in the "AI for Developers: 5 Transformational Techniques to Supercharge Your Code" training, you’ll receive a variety of valuable resources and benefits to enhance your learning experience:
Certificate of Participation
Upon completion of the training, you will receive a certificate to showcase your mastery of the 6D Process.
One-Month Elite Membership at Agile Digest Academy
Enjoy exclusive access to additional courses, resources, and community forums for one month, allowing you to further your learning and connect with industry experts.
One-Month Access to Class Recordings
Revisit the training sessions at your convenience with one-month access to the full recordings, ensuring you can review key concepts and exercises.
Access to Reading Content in eBook Format
Receive a comprehensive eBook covering the key topics of the training, accessible for one month, to reinforce your learning and provide a handy reference.
Participation in Live Sessions
Engage directly with the instructor and fellow participants in interactive live sessions, where you can ask questions, discuss topics in-depth, and participate in exercises.
Networking Opportunities
Connect with like-minded professionals and expand your network, gaining insights and building relationships that can support your career growth.
FAQs
Here are some frequently asked questions (FAQs) for the "Mastering the 6D Product Lifecycle" training:
-
Who is this training for?
This training is designed for backend developers, frontend developers, full-stack engineers, tech leads, and architects who want to integrate AI into their development workflows. Whether you’re building APIs, designing UIs, or architecting systems, this course will help you leverage AI tools and techniques effectively.
-
Do I need prior AI knowledge?
Yes, basic knowledge of AI concepts is recommended for this training. If you’re new to AI, we suggest exploring our AI for Beginners and AI Productivity Tools Training courses to build a strong foundation. This will help you get the most out of the advanced topics covered in this workshop.
-
What tools and technologies will I learn?
You’ll learn to work with a variety of tools and technologies, including:
- AI Tools: Ollama, LangChain, AutoGPT, and large language models (LLMs) like LLaMA 2.
- Development Tools: Docker, Kubernetes, Jenkins, GitHub Actions, and VS Code with AI extensions.
- Frameworks: React for frontend development and Golang for backend development.
Note this training is not to teach you language or these tools in details, here will see how you can inclrese your productivity on these tools using AI
-
Will I get hands-on experience?
Absolutely! This is a hands-on workshop where you’ll:
- Build custom AI agents using LangChain and MCP.
- Run LLMs locally with Ollama.
- Deploy AI models using Docker and Kubernetes.
- Complete a capstone project where you’ll build and deploy an AI-powered application.
-
What’s the duration of the training?
The training is 3 days long, with 8 hours per day. Each day includes a mix of lectures, hands-on exercises, and Q&A sessions to ensure you gain both theoretical knowledge and practical skills.
-
What if I’m not familiar with Docker, Kubernetes, or Golang?
While familiarity with Docker, Kubernetes, and Golang is helpful, it’s not mandatory. We’ll provide an overview of these tools during the training, and you’ll have access to resources to help you get up to speed. However, basic programming knowledge is required.
-
Can I use my own laptop for the training?
Yes, you can use your own laptop. We’ll provide a list of software and tools to install before the training begins. Make sure your system meets the minimum requirements for running Docker and other development tools.
-
What will I take away from this training?
By the end of this training, you’ll:
- Understand how to build and deploy custom AI agents.
- Know how to integrate LLMs into your applications.
- Be able to set up CI/CD pipelines for AI model deployment.
- Have a completed capstone project to showcase your skills.
-
Is there a certificate of completion?
Yes, participants who complete the training and the capstone project will receive a certificate of completion. This can be added to your resume or LinkedIn profile to showcase your expertise in AI for developers.
-
What if I have more questions after the training?
We offer post-training support through a dedicated Slack channel where you can ask questions, share ideas, and collaborate with other participants. Our instructors will also be available to provide guidance.
-
Can I attend this training remotely?
Yes this training is designed as an remote workshop.
-
What’s the difference between this training and your other AI courses?
This training is specifically designed for developers and focuses on building and deploying AI-powered applications. If you’re new to AI, we recommend starting with our AI for Beginners or AI Productivity Tools Training courses to build a strong foundation before joining this advanced workshop.
Refund Policy
At Agile Digest, we understand that sometimes plans change, and we aim to make the refund process as straightforward as possible.
Refund Policy Details
At Agile Digest, we understand that sometimes plans change, and we aim to make the refund process as straightforward as possible.
Refund Policy Details:
100% Refund Before Training:
If you’re unable to attend the training training, simply inform us before the session begins, and you will receive a 100% refund (minus the Gateway fees) of your payment.
Access to Recordings:
If you cancel your participation, we will not be able to offer you with access to the training session recordings.
Payment Gateway Fees:
If you paid online via a payment gateway, please note that the gateway fees will be deducted from your refund. This is to cover the transaction costs incurred during the payment process.
How to Request a Refund:
To request a refund, please contact us via email or through the contact form on our website, stating your reason for cancellation. We will process your refund promptly and provide confirmation once it has been completed.
This refund policy ensures that you have flexibility and peace of mind when enrolling in our training sessions.
Who Should Join
This AI for Developers Training is ideal for backend, frontend, and full-stack developers, as well as tech leads and architects looking to integrate AI into their projects.
Prerequisites
This AI for Developers Training is designed to be accessible to developers with basic programming knowledge. While no prior AI experience is required, familiarity with certain tools and concepts will help you get the most out of the course. Below is a list of prerequisites to ensure you’re well-prepared for the training.
Basic Programming Skills
You should be comfortable with at least one programming language, such as Python, Golang, or JavaScript. This will help you follow along with coding exercises and hands-on activities.
Familiarity with Development Tools
Basic knowledge of tools like Docker, Git, and VS Code is recommended. If you’re not familiar with these tools, we’ll provide an overview during the training, but prior exposure will help you keep up.
Understanding of APIs
You should have a basic understanding of how APIs work, including RESTful APIs. This will be useful when integrating AI models and building backend systems.
Basic Knowledge of AI Concepts (Optional but Helpful)
While not mandatory, familiarity with basic AI concepts (e.g., machine learning, neural networks) will give you a head start. If you’re new to AI, consider exploring our AI for Beginners or AI Productivity Tools Training courses.
System Requirements
Ensure your system meets the following requirements:
- Operating System: Linux, macOS, or Windows.
- RAM: Minimum 8 GB (16 GB recommended for running local LLMs).
- Storage: At least 20 GB of free space for installing tools and models.
- Internet Connection: Stable connection for accessing cloud-based tools and resources.
Pre-Workshop Setup
Before the training begins, you’ll need to:
- Install Docker and VS Code.
- Create accounts for GitHub and AI APIs (e.g., OpenAI, DeepSeek).
- Set up a Linux environment (if not already using Linux).
Willingness to Learn
This is a hands-on, fast-paced training. Come prepared to actively participate, ask questions, and experiment with new tools and techniques.
Enrolment Process
Enrolling in the "Engineer Tomorrow’s Software with Intelligent Workflows" training is simple and straightforward. Follow these steps to secure your spot:
Learn More
Step 1 : Click the “Add to cart” Button
Start the process by clicking the “Enroll Now” button on this page. This will take you to the registration form.
Step 2 : Complete the Registration Form
Fill out the required information, including your name, email address, and any other details needed to process your enrollment.
Step 3 : Validate Date and Time
Before completing your registration, please ensure that the date and time of the training session align with your schedule. This will help you avoid any conflicts and ensure your full participation.
Step 4 : Receive Your Invitation
After enrolling, you will receive an invitation via email from your instructor. This invitation will include all the necessary details, including the Zoom link and any pre-session instructions.
Step 5 : Prepare for the Session
Once enrolled, make sure to review any materials provided in advance and be ready to engage in the live session.
Original price was: ₹45,000.00.₹35,000.00Current price is: ₹35,000.00. + Tax
10-11 May 2025