New Labs Cohort Now Enrolling

Build real products. Learn real corporate skills. Get internship-ready before everyone else.

Work on live client projects with industry mentors, collaborate using professional tools, and develop the communication, presentation, teamwork, and problem-solving skills companies expect from interns and fresh graduates. Gain the confidence and experience needed to secure PPOs, convert internships into full-time roles, and stand out during campus and off-campus placements.

Collaborating via
ClickUp TasksGitHub ReposFigma Prototypes
workspace.viabig.com/client-projects
Live Project Pipeline
FinTech Payment Gateway Integration
PRD Analysis & Architecture Review
Sprint 2: Build Payment MicroserviceActive
Code Review & Production Deployment
Industry Mentorship
1:1 Feedback & Code Reviews
Internship-Ready
Portfolio Built. PPO Secured.
2 Main Programs
Curated onboarding paths
100% Hands-On
Zero lecture videos format
ClickUp & GitHub
Industry-standard toolsets
Verifiable Certificate
With project-specific tags
The 8-Week Curriculum

Your First 8 Weeks Inside a Real AI Team

Learn how modern AI products are planned, built, tested, deployed, and improved while contributing to real client projects under industry mentorship.

1

Industry Onboarding & Project Discovery

Week 1
Focus: Understanding the client, business problem, product vision, and team workflows.
Project orientation and business requirements
Understanding AI product lifecycle
Team communication and collaboration setup
Reading project documentation and project goals
Learning professional workplace expectations
2

Requirements Analysis & Solution Design

Week 2
Focus: Breaking down business problems into AI-powered solutions.
Understanding client requirements
User stories and workflow mapping
AI use-case identification
Designing project architecture
Planning project milestones and deliverables
3

Data, Knowledge & Context Engineering

Week 3
Focus: Preparing the foundation that powers AI systems.
Data collection and preparation
Knowledge base creation
Prompt engineering fundamentals
Context management techniques
Information quality and validation
4

Agent Design & Workflow Development

Week 4
Focus: Building intelligent workflows and autonomous systems.
Agentic AI fundamentals
Multi-agent architecture concepts
Tool integration and automation workflows
Planning, reasoning, and execution loops
Human-in-the-loop design patterns
Modern agentic systems rely on planning, execution, feedback, and continuous improvement loops rather than simple prompting.
5

AI Application Development

Week 5
Focus: Turning AI workflows into usable products.
Building AI-powered features
API integration
Frontend and backend collaboration
Workflow orchestration
Security and reliability considerations
6

Testing, Evaluation & Optimization

Week 6
Focus: Improving quality and performance.
AI evaluation techniques
Prompt optimization
Testing agent workflows
Debugging AI outputs
Performance improvement strategies
Production AI systems require structured testing, evaluation, governance, and verification before deployment.
7

Deployment & Production Operations

Week 7
Focus: Understanding how AI systems reach real users.
Cloud deployment concepts
Monitoring and observability
Version management
AI operations fundamentals
Production readiness reviews
8

Professional Growth & Career Readiness

Week 8
Focus: Preparing for internships and professional roles.
Technical project presentations
Professional communication skills
Team collaboration practices
Resume and portfolio enhancement
Industry feedback and performance review

By the End of the Program, You'll Learn

How real AI teams operate
Professional communication and collaboration
Project planning and execution
AI product development lifecycle
Agentic AI and automation workflows
Industry-standard tools and processes
Technical presentation and stakeholder communication
Internship and placement readiness
Portfolio-worthy project experience
The Industry Journey

Experience What Most Students Learn Only During Their First Internship

Gain real-world project exposure, industry mentorship, professional communication skills, and hands-on experience working the way modern AI and software teams operate.

1. Join an Active Engineering Program

Start your journey inside a structured engineering environment designed to simulate real industry workflows. You'll be onboarded into a project ecosystem where learning happens through execution, collaboration, and guided mentorship.

What You'll Gain
Professional onboarding experience
Access to industry mentors
Clear growth roadmap & milestones
Team collaboration environment

2. Learn How Real Products Are Planned

Before writing code, learn how companies transform ideas into products. Understand business requirements, project planning, solution design, documentation, and how engineering teams align with client expectations.

What You'll Gain
Product thinking & problem-solving mindset
Requirement analysis skills
Understanding of real business workflows
Exposure to professional planning processes

3. Build Alongside Industry Mentors

Contribute to project tasks, collaborate through industry-standard tools, participate in discussions, receive feedback, and learn how professional teams execute projects from concept to delivery.

What You'll Gain
Real project execution experience
Technical implementation skills
Professional communication abilities
Team collaboration & ownership mindset

4. Graduate with Industry Experience

Complete project milestones, showcase your work, receive performance feedback, and earn a verified certificate recognizing your participation and achievements. By the end of the program, you'll have a stronger portfolio, greater confidence, and a much better understanding of how companies actually work.

What You'll Gain
Portfolio-worthy project experience
Verified Completion Certificate
Internship & placement readiness
Confidence to work in professional teams
Stronger foundation for PPO opportunities

Why Students Join VIABIG Workspace

Because college teaches concepts. Industry expects execution.

Most students enter their first internship without knowing:

How professional teams communicate
How projects are planned and executed
How task management works
How to present ideas professionally
How to collaborate with developers and mentors
How companies deliver products to clients

VIABIG Workspace bridges that gap by giving you early exposure to the skills, workflows, and professional mindset expected in real companies.

What You'll Learn Beyond Technical Skills

The skills that often determine who gets selected, who earns a PPO, and who converts internships into full-time opportunities.

Professional communication
Presenting ideas confidently
Team collaboration & meetings
Problem-solving under guidance
Workplace professionalism
Project ownership & accountability
Industry-standard workflows
Technical documentation practices
Career readiness & confidence
Active Engineering Programs

Choose Your Career Acceleration Track

Whether you want complete industry exposure or a fast-track project experience, select the program that best fits your goals.

Recommended
INDUSTRY EXPERIENCE PROGRAM

Mentored Industry Lab

Work alongside industry mentors on structured real-world projects while learning how professional software and AI teams operate. Gain hands-on technical experience, develop corporate communication skills, collaborate with teams, present your ideas confidently, and build the practical experience companies look for during internships and placements.
₹4,999 · 6–8 Weeks
Work on real-world product development projects
Direct mentorship from industry professionals
Learn professional communication & corporate etiquette
Participate in team discussions, reviews & presentations
Build portfolio-worthy project experience
Follow industry-standard workflows and collaboration tools
Weekly guidance, feedback & performance evaluation
Internship Completion Certificate from VIABIG
Stronger preparation for internships, PPOs & placements
PROJECT EXPERIENCE PROGRAM

Guided Project Sprint

Designed for students who want to gain practical project exposure quickly. Follow a structured project roadmap, work with professional project assets, understand real-world development workflows, and complete a guided implementation that strengthens your resume and portfolio.
₹1,999 · 1–2 Weeks
Complete a structured industry-style project
Access project blueprints, workflows & implementation guides
Learn how modern development teams organize projects
Build a portfolio-ready project for your resume
Flexible schedule with self-paced execution
Professional project review checklist
Verified Project Completion Certificate
Great for beginners exploring industry projects

Why we charge a small fee

The fee helps us provide a structured, mentor-led learning environment where participants gain practical industry experience instead of just watching tutorials. It supports project supervision, one-on-one guidance, infrastructure costs, portfolio reviews, and access to real-world project workflows.

Our goal is simple: help students become internship-ready and industry-ready through hands-on experience that goes beyond classroom learning.

The VIABIG Advantage

Learn Inside a Real AI Engineering Company

We are a production AI company. Workspace is your gateway to experience the exact workflows, tools, and mentor reviews we use for client projects.

Built Around Real Industry Work

We deliver production AI systems. You learn from our actual client projects.

Learn From Working Professionals

Get mentored by engineers building production AI every single day.

Professional Team Workflows

Master agile boards, Git pull requests, CI/CD, and release sprints.

Develop High-Demand Skills

Master the perfect balance of AI engineering and workplace leadership.

Cryptographically Verified Profile

Showcase verifiable proof of the actual code you write.

agent_engine.py
#sprint-reviews
Sprint Board
analytics_hub
secure_verification
Live Simulation
EXPLORER
agent_engine.py
vector_db.py
config.yaml
tests/
# viabig-workspace/agent_engine.py
from viabig_ai import AgenticSystem, RAGRetriever

class ClientProjectAgent:
    def __init__(self):
        self.store = RAGRetriever(db="milvus")
        self.engine = AgenticSystem(model="deepseek-r1")

    def execute_pipeline(self, query):
        context = self.store.query(query)
        return self.engine.run(context, query)

# Initializing deployment for client data annotation...
agent = ClientProjectAgent()
result = agent.execute_pipeline("Analyze high-volume client feedback logs")
TERMINAL - bash
$ python agent_engine.py --env=production
[INFO] Connecting to Milvus Vector Database... (Success, latency=2.8ms)
[INFO] Embedding text query via OpenAI embeddings-3-large... done.
[SUCCESS] Loaded 4,821 context tokens. Running LLM inference...
[DONE] Processed anomaly detection pipeline. output saved.
The Credential

An Internship Certificate backed by real products

Every Viabig Workspace certificate lists the active client project you built and the tech stack you used. Anyone can confirm its integrity instantly with one link.

Verified · Issued by Viabig Workspace
VIABIG Workspace Internship Certificate of Completion
FAQ

Frequently asked questions

Absolutely. The workspace is built specifically to transition you from classroom theory to practical engineering. You'll follow a step-by-step weekly roadmap starting with basic setup. If you get stuck, you have direct Slack access to active developers who will review your code and guide you through challenges.

Step into a real AI engineering workspace.

Join structured client-style projects, learn professional workflows, and build the confidence to perform in internships and placements.