Generative AI Professional Training

Generative AI Course — Master LLMs, Prompt Engineering & AI Applications

Generative AI is transforming business operations, content creation, software development, and decision-making worldwide. This course helps learners understand Generative AI technologies, Large Language Models (LLMs), prompt engineering, AI-powered tools, and practical AI applications. Develop relevant skills through structured learning, practical exercises, and real-world use cases.

  • Comprehensive Generative AI & LLM Curriculum
  • Practical exercises with AI tools and real-world scenarios
  • Prompt engineering, AI workflows, and application development concepts
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4 months
Course Duration
Track-based
Course Level
Online
Course Delivery
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Program Highlights

The Generative AI Course introduces AI models, Large Language Models, prompt engineering, and AI-powered applications. Explore how Generative AI can support research, content creation, productivity, automation, and technical problem-solving through practical learning and real-world use cases.

💻 Instructor-led learning with structured training and guided explanations
🎥 Course videos and learning materials according to the selected program
👨‍🏫 Guidance from instructors with relevant AI expertise
📄 Career guidance on how Generative AI skills may complement your goals, where included
💳 Ask our team about available payment plans and instalments
📞 Information about academic support and assistance available during the course

Why Choose Generative AI Training?

Learn Generative AI, LLMs & Prompt Engineering

This program introduces Generative AI concepts, AI-powered tools, prompt engineering, and the practical use of Large Language Models. Understand how AI systems generate content, interpret instructions, and support professional workflows across business, technology, research, and productivity.

Comprehensive Curriculum
Generative AI, LLMs, prompt engineering, and AI applications
Learning Resources
Course materials and access period based on the selected program
Practical Exercises & Projects
Explore prompt design, AI-assisted workflows, and practical AI use cases
Certification & Completion
Completion or certification details depend on the confirmed program and issuing authority
Enroll Now Course Curriculum
AI
Practical Learning
LLMs
Prompt Engineering
Generative AI
Practical Training
AI Learning
Generative AI model transforming prompts into content and insights

Generative AI Course

Learn the fundamentals of Generative AI, Large Language Models, prompt engineering, AI assistants, and responsible AI usage. Depending on the selected track, explore APIs, embeddings, Retrieval-Augmented Generation (RAG), and AI-powered applications.

Generative AI skills can complement work in software development, business analysis, automation, research, and AI-enabled operations. Career progression depends on your existing experience, technical background, and practical skills.

Program Level

What You Will Learn

1️⃣ Generative AI Foundations
  • Understanding Artificial Intelligence, Machine Learning, and Generative AI
  • Traditional AI versus Generative AI
  • How generative models create text, images, code, and other content
  • Introduction to foundation models and their applications
  • Understanding AI capabilities, limitations, and common terminology
2️⃣ Large Language Models & Prompt Engineering
  • Understanding Large Language Models (LLMs), tokens, and context windows
  • Writing clear prompts with context, constraints, and examples
  • Zero-shot and few-shot prompting techniques
  • Iterative prompt refinement and evaluating AI-generated responses
  • Identifying hallucinations and checking generated content
3️⃣ Generative AI Tools & Practical Applications
  • Using AI assistants for research and productivity
  • AI-assisted writing, summarisation, and content generation
  • AI-assisted coding, code explanation, and debugging
  • Working with document-based AI tools and generated media
  • Selecting suitable AI tools for professional tasks
4️⃣ AI-Powered Applications & Practical Projects
  • Understanding the architecture of AI-powered applications and API integration
  • Introduction to embeddings, semantic search, vector databases, and RAG
  • Introduction to AI agents and tool-based workflows
  • Practical exercises in research, summarisation, and productivity
  • Build or evaluate a basic AI application where included in the selected track

Core Skills You’ll Build

AI LiteracyPrompt EngineeringLLM FundamentalsAI Tool ProficiencyCritical ThinkingResponsible AI

Your Generative AI Learning Style

A practical, application-focused approach to understanding AI models, improving prompts, using AI tools effectively, and exploring how Generative AI can support real-world tasks.

Generative AI Certification

Build a foundation in Generative AI, Large Language Models, prompt engineering, and AI applications. Certificate availability and any external certification depend on the selected course and issuing authority.

Generative AI
Course Completion

Build Your Generative AI Skills

Develop a strong foundation in Generative AI, Large Language Models, prompt engineering, and AI applications. Learn to apply AI tools to practical tasks and evaluate their outputs for usefulness, accuracy, and reliability. Confirm the issuing organisation, examination requirements, and eligibility before treating any certificate as an official certification offer.

  • Understand Generative AI, LLMs, and AI model fundamentals
  • Apply prompt engineering to common professional tasks
  • Use AI tools for research, content creation, and productivity
  • Understand AI limitations, privacy, and responsible AI practices
  • Explore AI-powered applications and workflows where covered in the syllabus
  • Develop practical experience through the exercises included in the program

Tools & Technologies Covered

SQL & Databases

Query, filter, join, and analyze structured datasets.

Python

Automate analysis and explore data using libraries.

Github

Github is a web-based Git repository hosting service. It allows users to store and manage their code projects online.

Open AI

Open AI is a non-profit artificial intelligence research organization. It aims to advance the field of artificial intelligence through open-source research and development.

Pandas

Clean, manipulate, and analyze datasets with Python.

NumPy

Perform numerical calculations and array-based analysis.

ChatGPT

Utilize generative AI to enhance data analysis, automate reporting, and improve decision-making processes.

Copilot

Copilot integrates with your development environment to provide intelligent code completion and suggestions.

CrewAI

CrewAI is a platform for building and managing AI agents and workflows.

Autogen

Autogen is a framework for creating AI agents and workflows.

Generative AI Course Overview

Generative AI is changing how organisations create content, process information, support customers, and develop digital solutions. This course introduces language models, prompt engineering, AI assistants, and practical AI workflows.

Learn to use AI tools thoughtfully, improve generated outputs, and identify tasks where Generative AI can support human decision-making. Advanced modules may introduce APIs, embeddings, RAG, and AI application development.

Generative AI is becoming part of many business and technical workflows. Learning its fundamentals can help professionals understand AI capabilities, work effectively with AI tools, and identify suitable opportunities for AI adoption.

Explore content generation, document summarisation, research assistance, prompt optimisation, code assistance, and AI-supported problem-solving. Application-development exercises depend on the confirmed syllabus.

Foundational knowledge can complement careers in software development, business analysis, digital operations, automation, and AI-enabled workflows. Advanced AI engineering roles may require additional programming, machine learning, and application-development skills.

Student Testimonials

Rahul Sharma

Lokesh Dandamudi

★★★★★

I had an excellent experience with Securium Academy! The courses are well-structured, up-to-date, and tailored to meet industry standards, especially in the field of cybersecurity. The instructors are highly knowledgeable and supportive, breaking down complex topics into easily understandable modules. What stood out the most was their hands-on approach with practical labs, real-world scenarios, and continuous mentoring. Whether you're a beginner or looking to advance your career, Securium Academy offers the right blend of theory and practice. Highly recommended for anyone serious about building a strong foundation in cybersecurity!

Lajin C P

★★★★★

Exam was very nice.. It was an excellent experience.. I highly recommend everyone who is highly passionate in cyber security field should attend this exam.

user

Malle Ganesh

★★★★★

My overall experience is soo Good with Securium Academy. They have excellent trainers with Good teaching Skills. Especially My trainer so good in CYBER SECURITY knowledge with excellent practical knowledge. They also providing Coupons for the certifications

user

Alka Sajeevan P

★★★★★

Happy to share that I have successfully earned the Certified Ethical Hacker (CEH) certification from EC-Council! This achievement has deepened my understanding of ethical hacking methodologies, penetration testing, and advanced cybersecurity concepts — empowering me to identify, analyze, and secure systems against evolving cyber threats.

user

Sreelakshmi Suresh

★★★★★

I recently completed the Certified Secure Computer User (CSCU) certification, and I must say it was an excellent experience! The CSCU program is well-structured and beginner-friendly, making it perfect for anyone looking to build a strong foundation in cybersecurity awareness, internet safety, and digital hygiene.

Trusted by Learners

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Frequently Asked Questions

This course is suitable for students, working professionals, developers, analysts, and business users who want to understand Generative AI and its applications. The technical depth depends on whether you select a foundational or development-focused learning track.

The curriculum may include:
  • Generative AI fundamentals and Large Language Models (LLMs)
  • Prompt engineering techniques and AI assistants
  • AI-generated content, practical applications, and productivity tools
  • Responsible AI, privacy, and output evaluation
  • APIs, embeddings, RAG, and AI application development where included
  • Practical exercises and projects based on the course syllabus

A foundational course may suit beginners without programming experience. Basic computer skills and an interest in AI are helpful. A technical track covering Python, APIs, and AI application development may require prior programming knowledge.

Duration and delivery format depend on the selected program. Contact Securium Academy to confirm current training hours, live or self-paced format, batch schedule, and course access period.

Assessment requirements depend on the selected course and certification offered. The program may involve:
  • Practical assignments
  • Project evaluations
  • An examination or course-completion requirements
Confirm the actual assessment format before enrolment.

Depending on the syllabus, learners may use:
  • ChatGPT, Google Gemini, Microsoft Copilot, and other LLM-based tools
  • Python and APIs in technical tracks
  • Embeddings, vector databases, and RAG frameworks in applicable tracks

The fee depends on course structure, training format, and included resources. Contact our team for the current fee, payment options, and any additional software or subscription costs.

Generative AI knowledge can complement roles and career paths such as:
  • AI Application Developer
  • Generative AI Associate
  • AI Automation Specialist
  • Business Analyst using AI tools
  • Software Developer with Generative AI skills
  • AI Solutions Associate or Prompt Engineering Specialist
Specific roles depend on your background and training depth. Advanced AI engineering positions may require additional programming and machine learning expertise.

Choose a course with a clear curriculum, relevant tools, practical exercises, appropriate instructor support, and transparent certification details. Contact Securium Academy to confirm the available training format and course information.

Practical activities may include prompt design, document summarisation, research assistance, content generation, and AI-supported workflows. Technical projects, such as building an AI assistant or RAG application, should be confirmed against the selected syllabus.

Certificate availability and issuing authority depend on the program. Confirm whether the course includes a Securium Academy completion certificate, an external certification, or preparation for a separate examination.

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