Mohali’s Best AI Training
Hands-On AI Learning for Career Growth
Mohali’s Best AI Training individuals with access to career opportunities both locally and international. As artificial intelligence continues to reshape industries like healthcare, finance, and manufacturing, skilled professionals play a vital role in driving innovation and solving complex problems globally.
Average Salary Package:
₹2,40,000 P.A. To ₹18,00,000 P.A.
Join Our 3-Months Industrial Training Program!
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Join 45-Day & 3-Month No-Code AI Training in Mohali – Become a Certified AI Developer!
Enrolling in Artificial Intelligence (AI) training in Mohali provides numerous benefits for those passionate about learning and growing in the tech field. Known as an emerging tech hub, Autviz offers access to expert-led programs that prepare students for exciting career opportunities. The focus areas include core AI concepts, machine learning techniques, data analysis, neural networks, as well as AI Agent Creation, Chatbot Development, Workflow Automation, and Python Basics—empowering learners to build real-world AI applications with practical skills.
The advantages of AI training extend far beyond theory. It equips students with hands-on experience, turning them into confident AI professionals ready to innovate and make an impact in industries like healthcare, finance, manufacturing, and more. Thanks to our vibrant tech ecosystem, learners also gain valuable exposure and networking opportunities, helping them launch a successful and fulfilling career.
These programs are designed for a wide range of learners — from 10th and 12th-grade students, collegegoers, and marketing professionals to small business owners and homemakers who aspire to start their first job in IT. Whether you’re a beginner or looking to upskill, this training offers the right foundation and support for your journey into AI.
Turn Your Dreams into Reality with Autviz Solutions!
Placement Assistance
24/7 Hrs Hands-On
Expert Trainers
Certified Completion
Flexible Schedule
Job Support & Guidance
Why Choose 3 Months of AI & Automation Training
What truly sets us apart isn’t just the training itself — it’s the entire learning
experience we offer. Here are some reasons are listed below.
100% Offline Physical Training
Get hands-on learning with fully offline, in-person training sessions designed to offer practical experience, face-to-face mentorship, and real-time guidance in a classroom environment.
Beginner-Friendly
Perfect for newcomers, this training is designed with beginners in mind—no prior experience needed. Learn step-by-step in a supportive and easy-to-follow environment.
Real-World Use Cases
In today’s digital world, businesses use technology to enhance customer experience, boost revenue, and streamline operations. Below are real-world examples of how best companies build smart solutions in Support, Marketing, Sales, and CRM.
Flexible Duration
This flexibility allows for greater agility, cost efficiency, and responsiveness to market demands, making it ideal for dynamic environments where priorities can shift quickly.
Expertise and Experience
Their hands-on approach and deep understanding of current tools help learners gain practical, job-ready skills and stay competitive in today’s fast-evolving tech landscape.
Growth Industry
Finish your training and step into a fast-growing industry with endless opportunities. The future is tech—start your journey today and be part of it!
Need Counselling?
Contact Us For Any Type Of Query Or Guidance
In Career Counselling. Our Experts Will Help You To
Sort Out Your All Doubt’s
In Career Counselling. Our Experts Will Help You To
Sort Out Your All Doubt’s
Why Choose Autviz for Industrial Training in Mohali?
Industrial Training
It gives students hands-on exposure to industry tools, technologies, and workflows, helping them build practical skills and confidence. This training is key to preparing for a growth career in today’s competitive job market.
Live Project Work
Let’s you apply your skills to real-world tasks, helping you learn by doing. It’s a great way to build confidence, gain experience, and get job ready.
Mock Interview
Sessions help you practice real interview scenarios, boost confidence, and improve your communication and problem-solving skills—so you’re ready when it matters most.
Carrier Resource
Support your growth during training by offering resume help, interview tips, and job search guidance—everything you need to kick-start your career with confidence.
In-House Placement Opportunities
Give you a chance to land a job directly through our training program, making it easier to start your career right after completing your course.
Development Classes
We provide best development classes to help you improve your communication skills and build confidence for success in every area of life.
Turn your skills into strengths
Get hands-on experience with the latest tools and techniques at a top software development company. Build your confidence and become job-ready with real-world skills.
What’s Included in Our AI Training Course
Start learning with courses that work, backed by expert guidance and trusted by learners everywhere. Enroll in our program to gain a solid understanding of the core concepts in Artificial intelligent development.
Week 1–2: Introduction & Foundations
What is AI Automation?
- Defining AI, Automation, and the intersection of the two.
- Benefits and challenges of AI automation (productivity, cost reduction, error reduction, ethical considerations).
- Distinction between RPA (Robotic Process Automation) and Intelligent Automation (AI + RPA).
Basics of AI:
- Brief overview of Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), and Computer Vision.
- Key AI concepts: training data, models, algorithms, inference.
Python for Automation:
- Python fundamentals (data types, control flow, functions).
- Key libraries for automation: requests (HTTP requests), BeautifulSoup (web scraping), Pandas (data manipulation), NumPy (numerical operations).
- Introduction to virtual environments.
Tools Introduction:
- ChatGPT/LLMs: Understanding large language models, prompt engineering basics.
- Make.com (formerly Integrate): Visual workflow automation.
- n8n: Open-source workflow automation (self-hosted vs. cloud).
- Selenium: Web browser automation for complex interactions.
Week 3: Automation Tools & Intelligent Integration
Workflow Builders Deep Dive (n8n, Make.com):
- Advanced workflow design: branching, loops, error handling.
- Connecting different applications via APIs (HTTP requests, authentication).
- Data transformation within workflows.
AI + No-Code/Low-Code Integration:
- Leveraging pre-built AI models (e.g., sentiment analysis, image recognition APIs) within no-code platforms.
- Using Make.com, or n8n to integrate AI services with everyday tools (CRM, email, spreadsheets).
Building Bots with ChatGPT/LLM APIs:
- Understanding different LLM APIs (OpenAI, Gemini, etc.).
- Sending prompts and parsing responses programmatically.
- Building simple conversational agents or content generation tools.
- Introduction to prompt engineering best practices (zero-shot, few-shot, chain-of-thought).
Week 4: Real-World Use Cases & Data Handling
Business Process Automation:
- CRM Automation: Automating lead entry, follow-ups, and data updates.
- Email Automation: Intelligent email categorization, response generation, and scheduling.
- Lead Generation & Qualification: Automating data collection from public sources, enrichment, and initial qualification.
- Document Processing: Introduction to Intelligent Document Processing (IDP) concepts (e.g., OCR with AI).
Personal Productivity Tools:
- Automating report generation from scattered data.
- Building personalized news aggregators or content summaries.
Data Scraping with Advanced Techniques:
- Handling dynamic websites (JavaScript rendering).
- Best practices for ethical scraping and avoiding blocks.
- Data cleaning and structuring for AI input.
Week 5–6: Advanced AI Automation & Project Development
Advanced AI Concepts for Automation:
- Autonomous Agents: Understanding how AI agents can make decisions and take actions independently to achieve goals. Exploring frameworks for building agents.
Monitoring & Optimization of AI Automation:
- Logging and debugging automated workflows.
- Performance monitoring and identifying bottlenecks.
- Strategies for continuous improvement of AI models and automation flows.
Deployment & Scaling:
- Basic concepts of deploying automation scripts.
- Managing API keys and secure credentials.
Final Project:
- Build an end-to-end AI automation system: This could be anything from an intelligent customer support chatbot integrated with a CRM, to an automated market research tool that scrapes data and generates reports, or a system that automates aspects of personal finance.
- Showcase Project + Feedback: Presenting the project, demonstrating its functionality, and receiving constructive feedback.
- Resume Building + Job/Consulting Tips: automation roles, identifying potential job opportunities (AI Automation Engineer, Workflow Automation Specialist), and tips for freelancing/consulting in the AI automation space.
Additional Concepts to Consider for a More In-Depth Roadmap (beyond 45 days):
- AI in Specific Industries: Exploring unique AI automation applications in finance, healthcare, manufacturing, etc.
- Advanced Prompt Engineering: Techniques like few-shot learning, chain-of-thought prompting, and self-consistency for more complex LLM interactions.
- Vector Databases and Embeddings: Understanding how to store and retrieve semantic information for more intelligent AI applications.
AI Agent Automation with Low-Code Platforms: 3-Month
Course Overview
This course empowers learners to design, build, and deploy AI-powered automation agents using low-code platforms. Participants will master workflow automation, AI integration, and data management through hands-on projects with tools like n8n and Make, enhanced by AI services such as the OpenAI API. The course culminates in a capstone project automating a real-world business process.
- Target Audience: Beginners to intermediates with basic programming knowledge
- Prerequisites: Familiarity with basic programming concepts; no advanced coding required
- Tools: n8n, Make, OpenAI API, Postman, Voice AI Agent.
- Learning Format: Lectures, hands-on labs, weekly projects, capstone project
Week 1-2: Foundations of Low-Code and Automation
Grasp the fundamentals of low-code platforms and automation principles.
Topics:
- What is low-code development? Benefits and use cases
- Automation overview: RPA vs. AI-driven automation
- Introduction to platforms: n8n, Make.
- Setting up accounts and environments
- Building trigger-action workflows (e.g., automated notifications)
Labs:
- Create an n8n workflow to send a Discord message on new Google Form submissions
- Build a Make scenario to save email attachments to Google Drive
- Explore n8n: Automate a basic data entry task
Project: Automate a personal task (e.g., calendar event creation from emails).
Resources: n8n documentation, Make guides.
Week 3-4: Enhancing Workflows with AI Integration
Integrate AI services into low-code automation workflows.
Topics:
- Introduction to AI services: OpenAI API, Google Cloud AI
- AI use cases: NLP, sentiment analysis, text generation
- Connecting low-code platforms to AI APIs (e.g., HTTP nodes in n8n)
- Parsing API responses: JSON handling, data mapping
- Error handling and workflow debugging
Labs:
- Use n8n with OpenAI API to generate responses for form submissions
- Connect Make to Google Cloud AI for sentiment analysis of customer feedback
- Use n8n to extract text from images via Google Cloud Vision
Project: Build an AI-powered workflow (e.g., auto-classify and respond to customer emails using OpenAI).
Resources: OpenAI API documentation, Postman for API testing.
Week 5-6: Advanced Workflow Design and Data Management
Develop complex workflows and manage data effectively.
Topics:
- Multi-step workflows: Conditionals, loops, parallel execution
- Data transformation: Filtering, sorting, aggregation
- Integrating with databases and CRMs (e.g., MySQL, Airtable)
- Scheduling and monitoring automations
- Security practices: API keys, OAuth, data privacy
Labs:
- Create an n8n workflow to process CSV data and update a MySQL database
- Build a Make scenario to sync Airtable data with Google Sheets
- Use n8n to automate repetitive CRM data entry with error logging
Project: Automate a business process (e.g., lead scoring from form data to CRM).
Resources: MySQL basics, Airtable API docs, n8n/Make documentation.
Week 7: Voice-Enabled AI Agents
Create voice-based AI agents for automation workflows.
Topics:
- Voice AI overview: customer service bots, assistants
- Voice tools:
- STT: Google Cloud Speech, Whisper API
- TTS: Google TTS, Amazon Polly, ElevenLabs
- Platforms: Voiceflow, Dialogflow
- Conversational flow types: single/multi-prompt, contextual agents
- Voice integration with n8n & Make via HTTP
- Testing voice UX, fallback design
- Connecting to knowledgebases (e.g., RAG systems)
Labs:
- Build a customer FAQ bot in Voiceflow and connect to n8n via OpenAI
- Dialogflow voice agent to update CRM data using n8n
- Voice-based meeting scheduler using STT in Make
Project: Build a voice AI agent for a business use case (e.g., voice-driven order tracking).
Resources: Voiceflow tutorials, Google Dialogflow docs, n8n HTTP node guides.
Week 8: Scaling and Optimizing AI Automation
Scale automations for enterprise-grade performance.
Topics:
- Orchestrating multiple agents: n8n workflows, Make scenarios
- Performance optimization: Minimizing latency, handling large datasets
- Monitoring and analytics: Logs, dashboards, alerts
- Version control and team collaboration in low-code platforms
- Cost management: Platform quotas and pricing
Labs:
- Configure n8n to manage multiple workflows with scheduling
- Build a Make dashboard to track workflow performance
- Optimize an n8n workflow to process 1000+ records efficiently
Project: Scale an existing workflow to handle enterprise-level data (e.g., process 500+ customer records).
Resources: n8n workflow guides, Make analytics.
Week 9-10: Capstone Project Development
Design and implement a real-world AI automation project.
Topics:
- Project planning: Defining scope, requirements, deliverables
- Selecting platforms and AI services for specific use cases
- Prototyping and iterative development
- Testing: Unit tests, edge case validation
- Documentation and presentation skills
Labs:
- Prototype a capstone project (e.g., automate invoice processing with AI text extraction)
- Implement AI integration and test edge cases
- Document the workflow and create a user guide
Project: Develop a capstone project (e.g., AI-powered customer support ticketing system).
Resources: Project management templates, low-code testing frameworks.
Week 11-12: Deployment and Maintenance
Deploy automations and plan for ongoing maintenance.
Topics:
- Deploying automations: Best practices, rollback strategies
- Maintenance: Updating workflows, adapting to API changes
- Ensuring high availability and redundancy
- Advanced topics: Custom nodes, hybrid automation
- Career paths: Automation engineer, low-code developer
Labs:
- Deploy an n8n workflow to a production environment
- Set up failure alerts in Make for workflow monitoring
- Create a custom node in n8n for a niche API
Project: Finalize, deploy, and present the capstone project in a live environment.
Resources: n8n deployment guides, Make monitoring tools, low-code career paths.
Assessment and Certification
Evaluation:
- Weekly Projects: 40% (functionality, creativity)
- Capstone Project: 40% (complexity, execution, documentation)
- Participation: 20% (labs, quizzes, discussions)
Certification: "AI Agent Automation with Low-Code" certificate (80%+ score).
Learning Outcomes
Participants will:
- Build and deploy AI-powered automation agents using low-code platforms
- Integrate AI services like OpenAI into workflows
- Manage scalable, complex automations for business processes
- Design and document production-ready automation projects
- Explore career opportunities in AI automation and low-code development
Learn From Our Top Mentors
Join our top mentor network and play a pivotal role in preparing students for the jobs of today, tomorrow, and beyond carrier.
Tanuja Thakur
(Delivery Manager)
Harpreet Saini
(Sales Head)
Deepanshu Tyagi
(Software Engineer)
Navpreet Singh
(Full Stack Development)
Gurpreet Puri
(Web Design Trainer)
Dinesh Kumar
(Full Stack Development)
What Our Students Say
Our students trust the practical, hands-on experience they get during our 3-month industrial training program in Mohali, Chandigarh. They value working on real projects and learning directly from expert mentors, which helps them feel confident and ready for their future careers.
Frequently Asked Questions
Our training covers everything from fundamental AI concepts and machine learning techniques to data analysis and neural networks. Plus, we dive into practical skills like AI agent creation, chatbot development, workflow automation, and Python basics—so you get a well-rounded learning experience.
Not at all! We start with the basics, including Python programming, so even if you’re new to coding, you’ll be guided step-by-step.
Our courses are designed for everyone—whether you’re a student, a professional looking to upskill, or a business owner wanting to leverage AI.
With skills in AI and automation, you’ll open doors to exciting job opportunities across industries like healthcare, finance, manufacturing, and more. Our goal is to prepare you for the real-world demands of today and tomorrow.
Absolutely! We focus on practical learning, so you’ll work on real projects like building chatbots and automating workflows to make sure you’re ready for the industry.
Get in Touch with us to Ensure the Security of your IT Requirements.
We turn your ideas into smart, custom software that solves problems and helps your business grow. Whatever your vision, we’re here to build it with you.
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