Generative AI Fundamentals

Live Online (VILT) & Classroom Corporate Training Course

Build a strong foundation in AI, ML, Deep Learning, Generative AI, LLMs and foundation models, with a practical introduction to building a GenAI application.

Expert-Led VILT & Classroom 8 Hours Level: Beginner Certificate of Completion
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Overview

Build a strong foundation in AI, ML, Deep Learning, Generative AI, LLMs and foundation models, with a practical introduction to building a GenAI application.

What You Will Learn

By the end of this course, learners will be able to:

  • Explain the foundations of AI, Machine Learning, Deep Learning and Generative AI.
  • Describe Large Language Models at a conceptual level.
  • Explain tokens, context windows, inference and basic model parameters.
  • Understand the Transformer architecture and its role in modern LLMs.
  • Differentiate text, image, audio, video and multimodal Generative AI.
  • Identify practical Generative AI use cases across business and technology.
  • Recognize hallucination, bias, privacy and security risks.
  • Build and demonstrate a basic Generative AI application using a model API.

Prerequisites

No prior AI or Machine Learning experience required. Basic computer and internet skills are sufficient.

Course Outline

  • What is Artificial Intelligence?
  • Evolution of Artificial Intelligence
  • AI vs Machine Learning vs Deep Learning
  • Traditional AI vs Generative AI
  • Rule-Based vs Learning-Based Systems
  • Real-World Applications of AI
  • AI Ecosystem and Career Landscape

  • What is Generative AI?
  • Generative AI vs Traditional AI
  • Generative Models and Content Creation
  • Types of Generative AI Models
  • Generative AI Modalities
  • Generative AI Ecosystem
  • Capabilities and Limitations of Generative AI

  • What is a Large Language Model?
  • How LLMs Learn from Data
  • Pre-training, Fine-tuning and Inference
  • Tokens and Tokenization
  • Context Windows and Context Management
  • Prompts, Responses and Inference
  • Temperature, Sampling and Model Behavior
  • Common LLM Use Cases

  • Neural Network Foundations
  • Transformer Architecture
  • Attention Mechanism
  • Self-Attention and Multi-Head Attention
  • Encoder and Decoder Concepts
  • Foundation Models
  • Pre-training and Adaptation
  • Why Transformers Power Modern GenAI

  • Text Generation
  • Image Generation
  • Audio and Speech Generation
  • Video Generation
  • Multimodal Generative AI
  • Commercial AI Models and Platforms
  • Open-Source Models
  • Selecting the Right Model for a Use Case

  • Generative AI in Business
  • Content Creation and Marketing
  • Research and Knowledge Work
  • Software Development
  • Data Analysis and Productivity
  • Hallucinations and Factual Reliability
  • Bias and Fairness
  • Privacy and Data Protection
  • Security and Misuse Risks
  • Responsible AI Principles

  • Project Overview and Architecture
  • Select and Configure a Generative AI Model
  • Connect to a Model API
  • Create a Prompt and User Input Flow
  • Generate and Display Model Responses
  • Add Basic Error Handling
  • Test the Application with Multiple Prompts
  • Improve Response Quality
  • Final Demonstration

Available Training Modes

Pick the format that fits your team.

Same authorised curriculum, same trainers, same hands-on cloud labs — delivered the way that works for you.

Live Online (VILT)

Real-time instructor-led sessions over Zoom or Teams. Same classroom, different time zones.

Most popular

Classroom

Face-to-face training delivered at your office, our Bengaluru centre, or any partner venue worldwide.

Onsite

Self-Paced

Recorded sessions plus 24/7 access to cloud labs and assessments. Learn at the pace that works for each engineer.

On-demand

Blended

Live workshops with self-paced reinforcement and project-based labs. Best for hybrid teams across regions.

Hybrid teams
All modes include: hands-on cloud labs, recordings, assessments, certificate of completion. Talk to a solutions advisor →

Our Training Process

How a course becomes measurable skill.

One contract, five steps, zero handoffs. From discovery to deployment, the same Synergific team owns the outcome — not a chain of vendors.

5 Steps from your scoping call to certified, productive engineers.
01

Discover & set goals

We start with a scoping call to understand your team's current skill level, target outcomes, deadlines, and certification needs — then translate that into a measurable success plan with named owners on both sides.

02

Curate the right path

We map the optimal learning path — instructor-led, self-paced, or blended — with hands-on cloud labs, prerequisite refreshers, and certification vouchers built in. No filler modules, no padded curriculum.

03

Deliver hands-on training

Authorised trainers run live sessions backed by 24/7 cloud labs and real-world projects. Theory and practice on the same day — learners stop forgetting concepts before they get to apply them.

04

Assess & mentor

Continuous skill checks, mock exams, and 1:1 mentoring keep the program honest. If anyone falls behind, we course-correct in-flight — you'll never find out at the end that two engineers couldn't keep up.

05

Certify & apply on the job

Voucher-backed certification, post-training office hours, and 30-day reinforcement so skills land on real work — not just on the exam scorecard. Success measured after the course ends, not before.

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