Datacom | Automation AI Accelerator: From Co-pilot to Autonomous Agent

Talent Network Open

Get Career Ready

Complete work that simulates life on the job. 4-5 hours and self-paced.

Stand out in your application to Datacom. Show us you're a motivated candidate.

Talent Network Open

Get Career Ready

Complete work that simulates life on the job. 4-5 hours and self-paced.

Stand out in your application to Datacom. Show us you're a motivated candidate.

Why complete this job simulation

A risk-free way to experience work on the job with us at Datacom. Practice your skills with example tasks and build your confidence to ace your applications.

Self-paced4-5 hoursNo gradesNo assessmentsIntermediate

Welcome to the Datacom Automation AI Accelerator! In this interactive job simulation, you will step into the role of a Graduate Developer assigned to a high-impact innovation team at Datacom. Your mission is to tackle a project that mirrors the real-world evolution of software development—a journey that will transform your relationship with technology. You won't just be writing code; you'll be partnering with intelligent AI systems to solve problems faster, smarter, and more strategically than ever before. This experience is designed to be a 'taster' that provides practical, real-world experience with the methodologies shaping our industry.

At Datacom, our purpose is to help customers and communities navigate the complexity of an ever-changing world by connecting people and technology. A core part of that mission is recognising that AI is not just a tool for code completion, but a fundamental collaborator in the entire development lifecycle. The most valuable developers of tomorrow will be those who can fluidly switch between different modes of AI partnership. We know that those entering their careers now are already more productive and efficient thanks to AI; this programme is your training ground for channelling that fluency into strategic impact.

The curriculum is structured to guide you up a ladder of increasing abstraction and leadership. You will begin by learning to be a hands-on 'AI Pilot,' using conversational AI IDEs for rapid, interactive debugging and creative coding. Next, you will transition to the role of an 'AI Architect,' where you will use spec-driven development environments to translate high-level business needs into precise, machine-executable specifications, letting an AI agent handle the complex implementation. Finally, your journey will culminate in thinking like a 'Business Strategist,' where you will design an autonomous AI agent capable of analysing and solving a real business challenge from end to end. This is your opportunity to move beyond simply using AI and to start leading with it, gaining the confidence to solve real problems and shape the future of technology.

Talent Network Open

Datacom Careers TalentX

Skills you will learn and practice:

Problem Solving

Requirements Analysis

Critical Thinking

Data Visualization

Process Improvement

How it works

Introduction from Datacom

Explore Our Job Sims

Tasks in this program

Task One: AI-Powered Debugging and Refactoring

1-2 hours

Intermediate

Learn what process automation is in order to meet your client's needs

What you'll learn

How to effectively leverage an AI co-pilot to rapidly understand the function and structure of unfamiliar or legacy code.
The art and science of crafting effective, context-rich prompts specifically for debugging and refactoring tasks.
How to work iteratively with an AI, treating its suggestions as hypotheses to be tested and refined, rather than as infallible commands.
The critical importance of maintaining human oversight, applying critical thinking, and verifying all AI-generated code fixes before acceptance.

What you'll do

The participant will be provided with a buggy and inefficient Python script designed for data processing. They will use a conversational AI IDE to diagnose the issues, write unit tests to confirm the bugs, refactor the code for clarity and performance, and document their interactive process with the AI.

Deliverable: A file submission containing three distinct artifacts:
1. The final, corrected, and refactored Python script, named process_data_final.py.
2. A detailed markdown file named DEBUG_LOG.md, which documents their interaction with the AI. This log should include their key prompts, the corresponding AI responses, and brief annotations on their thought process.
3. A Python file named TEST_CASES.py containing the unit tests they authored with the AI's assistance to identify the original bug and verify the final fix.

Reviews

Over 850

5 Star Reviews

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"It was amazing, got to know about how to approach any client's problems. Being a fresher and not having any experience this program proved to be guiding experience for me."-- Student from Indian Institute of Technology, Dhanbad

"I like how user friendly it is. I was a bit nervous about what the program would encompass. I was happy about my encounter with the program."-- Student from Far Eastern University

"I like that I was able to make a flowchart and then see how a professional would make it. It made ma realize that I have room for improvement and that I have much to learn."-- Student from Far Eastern University

"The practical experience of designing the workflow and the means by which the case study is explained is good."-- Student from Jawaharlal Nehru Technological University

"Why are you interested in this role?” I recently participated in Datacom's virtual job simulation on the Forage platform, and it was incredibly useful to understand what it might be like to participate on a digital process automation team at Datacom. I worked on a project to learn about digital process automation and create a process flow for a cli..."-- Student from University of Delhi

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