Master Generative AI & Agentic Systems Course in Adajan
Master advanced Large Language Models (LLMs), neural architecture networks, multi-agent workflows, prompt engineering, and hyper-realistic synthetic media with 100% practical 1-on-1 mentorship.
Course Overview
Curriculum Roadmap
Module 1: Module 1: How LLMs Work & Setting Up Your AI Dev Environment
- Setting up your development environment: code editors, cloud API keys (OpenAI, Anthropic), and terminal basics
- Understanding how Large Language Models (LLMs) work: transformers, tokenization, context windows, embeddings, and temperature settings — explained simply
- Building a companion web interface using HTML5 and CSS to display live AI-generated text responses
- Connecting to LLM APIs asynchronously so responses stream into your web page in real time
Module 2: Module 2: Prompt Engineering — Getting Reliable, Structured Output from AI
- Writing role-based system instructions and few-shot examples to guide model behaviour consistently
- Using Chain-of-Thought (CoT) and Tree-of-Thoughts prompting to reduce AI hallucinations on complex tasks
- Forcing structured outputs like JSON or formatted markdown through precise prompt design
- Dynamically inserting user inputs and real-time data into prompt templates programmatically
Module 3: Module 3: Multi-Agent Systems & Autonomous Tool Calling
- Building a single autonomous AI agent loop with its own memory, goals, and action permissions
- Coordinating networks of multiple AI agents that delegate tasks, evaluate each other's outputs, and self-correct
- Implementing tool calling — giving the AI the ability to trigger real functions (search, file operations, API calls) based on natural language
- Running parallel background AI workers without freezing or slowing down the main user interface
Module 4: Module 4: Image & Video Generation with Diffusion Models
- Understanding how diffusion models (like Stable Diffusion) generate images, and writing effective positive and negative prompts
- Controlling output quality using seed values, sampler steps, and CFG (guidance scale) settings
- Editing existing images using inpainting (changing specific areas) and outpainting (extending the frame)
- Using ControlNet to force specific layouts, poses, or edge structures in generated images
Module 5: Module 5: Deployment, Cost Management & Final Project Showcase
- Hosting your AI companion web app on a live cloud server with proper domain setup and frontend optimization
- Tracking user interactions and conversion events using Google Tag Manager and analytics integrations
- Monitoring and controlling API token usage costs — setting rate limits and building response caching to reduce spend
- Final project: deploy a live multi-agent coding assistant and a synthetic media dashboard; complete mock technical interview rounds
Meet Your Mentors
Taiyeb Khumri
Founder and Lead Educator at NodeToLearn
Taiyeb Hariyanawala is the Founder and Lead Educator at NodeToLearn, a premier computer education institute based in Nanpura, Surat. With a deep specialization in digital marketing, video editing, and full-stack software development, Taiyeb integrates cutting-edge AI-driven workflows and agentic automation into professional technical training. Committed to academic excellence, he has implemented ISO 21001:2018 certification standards to provide industry-leading curricula in Python, Flutter, and web technologies. His mission is to bridge the gap between complex IT concepts and practical application for the next generation of digital creators and developers.
View LinkedIn ProfileWho is this for?
This course is built for BCA, MCA, and B.Tech (IT/CS) students who want to move beyond basic programming into AI-powered product development. It's also a strong fit for frontend developers who already know HTML/CSS/JavaScript and want to add serious AI engineering skills to their profile. Digital creators and content professionals who want to build their own image or video generation tools — rather than just use existing apps — will find the diffusion model modules especially practical. Entrepreneurs or business owners looking to automate workflows using AI agents can also benefit, provided they have some basic programming familiarity.
Career Opportunities
Prerequisites
Basic computer operating literacy and a sharp logical mindset. No prior Python programming language background, data analytics degrees, or high-level calculus requirements are necessary.
Tools Covered
Certification
ISO 21001:2018 Certified Professional Generative AI Engineer Certificate
Earn a certificate that actually holds weight in the industry.
Our institutional evaluation is strictly project-backed to maintain absolute industry authority and prevent unverified credential inflation. To qualify for your credential, you must successfully submit a final technical artificial intelligence repository featuring a fully functional multi-agent background orchestration loop, a programmatic prompt pipeline generating valid structured data formats, a synthetic multi-media rendering case study displaying precision seed and ControlNet configurations, and a live responsive web companion portfolio landing layout. Upon successful panel review, you will be issued an official ISO 21001:2018 Certified Professional Generative AI Engineer validation, containing a unique global tracking identification number that software houses, global IT divisions, and international creative automation firms can instantly verify online.
Our Training & Placement Methodology Trusted Process
We maintain full transparency in our curriculum delivery and placement assistance. Our certification is backed by rigorous live-project evaluations and our placement claims are verified by our extensive network of hiring partners across Surat.
Real-World Curriculum
Our syllabus is continuously updated based on direct feedback from industry HRs and Senior Tech Leads to ensure market relevance.
Placement Process
100% placement assistance isn't just a promise; it includes mandatory resume building, mock technical interviews, and direct employer referrals.
Expert Led Sessions
Classes are solely conducted by working professionals with a minimum of 5+ years of active industry experience in their respective domains.
ISO 21001:2018 Certified
Our educational management system is officially certified, guaranteeing international standards in training quality and student assessment.
Transparent Certification Process
Frequently Asked Questions
Why Study in Adajan?
Best Generative AI & Agentic Systems Course Classes Near Adajan, Surat
Are you looking for the best Generative AI & Agentic Systems Course training institute near Adajan? NodeToLearn is located just 3km away from the heart of Adajan. Many tech enthusiasts from Adajan join our institute since we are conveniently located just a short 7-minute drive away, making it easy to attend evening or weekend batches.
We understand that travel time is crucial for students and working professionals. Being minutes away from major landmarks like Anand Mahal Road, Honey Park Road, L.P. Savani Road, and Prime Arcade, our campus is highly accessible so you won't have to compromise on quality education to stay close to home.
- Hyper-Local Advantage: Just a 3km commute from Adajan for your Generative AI & Agentic Systems Course batch.
- Flexible Timings: Perfect for students traveling from Anand Mahal Road, Adajan Patiya, and Palanpur Patia areas.
- 100% Placement Assistance: Get placed in top IT firms across Surat after completing your Generative AI & Agentic Systems Course training.
Don't settle for average training. Join the top-rated Generative AI & Agentic Systems Course program near Adajan and kickstart your IT career with NodeToLearn today!
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Course Features
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Duration4 Months
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LevelAdvanced
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CertificationISO 21001:2018 Certified Professional Generative AI Engineer Certificate
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PaymentEMI Option Available
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Career100% Placement Assistance
NodeToLearn Certified Students
Join hundreds of students who have successfully completed their training and earned their industry-recognized certificates.
Aliasgar Acharwala - UI/UX Designing
Abbas Channiwala - Graphic Designing
Madni Shaikh - Graphic Designing & Video Editing
Tanzil Malik - Digital Marketing
Murtaza Bookwala - Graphic Designing
Mufaddal Kotawala - Video Editing & Graphic Designing
Hussain Jabrot - Advance Excel
Sarvesh Kumar - Tally Prime With GST
Aara Mansuri
Sahima Dhandhuwala - Graphic Designing
Ibrahim Kaukawala - Basic Computer (CCC)
Yusuf Tarwala - C, C++ & Python
Mh Absar Shaikh - Basic Computer (CCC) & Tally Prime With GST
Pratham Pastagiya - Tally Prime With GST
Mehlam Songadhwala - Graphic Designing
Aliasgar Acharwala - UI/UX Designing
Abbas Channiwala - Graphic Designing
Madni Shaikh - Graphic Designing & Video Editing
Tanzil Malik - Digital Marketing
Murtaza Bookwala - Graphic Designing
Mufaddal Kotawala - Video Editing & Graphic Designing
Hussain Jabrot - Advance Excel
Sarvesh Kumar - Tally Prime With GST
Aara Mansuri
Sahima Dhandhuwala - Graphic Designing
Ibrahim Kaukawala - Basic Computer (CCC)
Yusuf Tarwala - C, C++ & Python
Mh Absar Shaikh - Basic Computer (CCC) & Tally Prime With GST
Pratham Pastagiya - Tally Prime With GST
Mehlam Songadhwala - Graphic Designing
Aliasgar Acharwala - UI/UX Designing
Abbas Channiwala - Graphic Designing
Madni Shaikh - Graphic Designing & Video Editing
Tanzil Malik - Digital Marketing
Murtaza Bookwala - Graphic Designing
Mufaddal Kotawala - Video Editing & Graphic Designing
Hussain Jabrot - Advance Excel
Sarvesh Kumar - Tally Prime With GST
Aara Mansuri
Sahima Dhandhuwala - Graphic Designing
Ibrahim Kaukawala - Basic Computer (CCC)
Yusuf Tarwala - C, C++ & Python
Mh Absar Shaikh - Basic Computer (CCC) & Tally Prime With GST
Pratham Pastagiya - Tally Prime With GST
Mehlam Songadhwala - Graphic Designing
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