AI ENGINEERING
From AI Fundamentals to Building Real-World AI Applications
Not just theory. Real skills for real opportunities. Designed specifically for engineering college students and placement preparation — zero abstract mathematics, 100% practical software engineering with frontier AI APIs.
Why Learn AI & Machine Learning?
Artificial Intelligence is no longer a future prediction—it is currently transforming every major industry globally. Every organization is actively hiring talent who can automate, build, and optimize using AI.
New AI Jobs Created
The World Economic Forum projects over 97 million new roles emerging in AI, Automation, Prompt Engineering, and Machine Learning.
Higher Salary Premia
Tech professionals competent in AI automation, Generative API implementation, and data-science command up to 4.5x higher entry salaries.
Industry Integration
From finance to healthcare, companies are transitioning to AI-powered operations. Knowledge of LLMs is now a basic hiring prerequisite.
AI Skill Required by Global Tech Giants
Companies are hiring engineering students who understand:
Generative AI, LLM Application APIs, RAG Architectures, Vector Databases, and Autonomous AI Agents. Elevate your technical interview and placement profile.
The 4 Pillars of Modern AI Engineering
Traditional AI courses focus on abstract mathematical equations. Our curriculum progresses across the 4 modern capabilities industry actively demands:
GENERATIVE AI
Text, Image, Audio, Video and Code generation. Master prompt engineering and multi-modal toolkits.
Tools & Ecosystem
ChatGPT • Claude • Google Gemini
LLMs
Connect AI models via APIs. Master context windows, tokens, parameters, and application logic.
Tools & Ecosystem
OpenAI API • Gemini API • Claude API
RAG
Retrieval-Augmented Generation. Connect private documents and databases to LLMs with vector embeddings.
Tools & Ecosystem
Vector DBs • Embeddings • Doc Parsers
AI AGENTS
Build intelligent agents capable of reasoning, planning, memory, multi-step execution, and tool-calling.
Tools & Ecosystem
Tool Calling • Agent Loops • Automation
6 Major Modules (30 Hours Total)
5 Hours per module. Designed to transform engineering college students from AI users into practical AI Application Engineers.
AI Engineering
30-Hour Industry-Oriented Program
DURATION
30 Hours (6 Modules × 5h)
FOCUS
Practical AI Application Dev
AUDIENCE
Engineering Students (All Branches)
DELIVERY MODES
Offline Classroom + Live Online
Conducted at CS CoWorking Spaces, HITEC City, Hyderabad or on-campus college cohorts.
Secure your enrollment slot instantly via Razorpay payment gateway.
Pay Now via RazorpayDetailed Curriculum Modules (6 Modules)
30 Hours Hands-on01 — AI FOUNDATIONS & AI ENGINEERING
Understand AI and the modern AI ecosystem.
Topics Covered:
- •What is AI and how does it work?
- •AI vs ML vs Deep Learning vs Generative AI
- •Evolution of AI
- •LLMs and AI Agents
- •Real-world AI applications
- •AI Engineering mindset
Key Outcome:
Students understand the complete AI ecosystem and where modern AI is used.
02 — GENERATIVE AI & PROMPT ENGINEERING
Learn how to use Generative AI effectively.
Topics Covered:
- •What is Generative AI?
- •Text, Image, Audio, Video and Code generation
- •How modern LLMs work — simplified
- •Prompt Engineering
- •Effective prompting techniques
- •Real-world AI use cases
Key Outcome:
Students can use Generative AI effectively for academic, technical and professional tasks.
03 — LLMs & AI APPLICATION DEVELOPMENT
Learn how to build applications powered by AI.
Topics Covered:
- •What are LLMs?
- •APIs and AI models
- •Connecting AI models to applications
- •Inputs, outputs, tokens and context
- •Model parameters
- •Building AI-powered applications
- •Mini Project: AI Resume Analyzer
Key Outcome:
Students move from simply using AI tools to building applications powered by AI.
04 — RAG (RETRIEVAL-AUGMENTED GENERATION)
Give AI access to your own knowledge and documents.
Topics Covered:
- •What is RAG?
- •Why RAG is needed
- •Documents and knowledge bases
- •Embeddings and retrieval — simplified
- •Connecting AI with organizational data
- •Building a College AI Assistant
- •Real-world enterprise use cases
Key Outcome:
Students learn how to build AI systems that can answer questions using their own documents and data.
05 — AI AGENTS
Learn how to build AI systems that can perform tasks.
Topics Covered:
- •What is an AI Agent?
- •Chatbot vs AI Agent
- •Reasoning and planning
- •Tools and tool calling
- •Memory
- •Multi-step task execution
- •AI automation
- •Building an AI Placement Agent
- •Real-world AI Agent applications
Key Outcome:
Students understand and build AI systems capable of performing multi-step tasks using tools.
06 — AI PROJECTS + CAREER READINESS
Build, showcase and present a real AI project.
Topics Covered:
- •Team-based capstone project
- •AI Resume Analyzer
- •AI Interview Coach
- •College AI Assistant
- •AI Research Assistant
- •AI Placement Agent
- •Project presentation
- •Portfolio and GitHub preparation
- •Resume and LinkedIn positioning
- •AI career and placement guidance
Key Outcome:
Students finish with a practical AI project that can be demonstrated in interviews and added to their portfolio.
Complimentary Benefits Package
We complement our flagship training program with these premium industry readiness assets to guarantee your success in the competitive tech landscape.
Hands-on Practical AI Engineering
Zero dry theoretical math. Students write code, connect live APIs, configure embeddings, and build functional systems.
Real-World Projects & Capstones
Students build tangible applications like AI Resume Analyzer, College AI Assistant, and AI Placement Agent.
Industry-Relevant Skills
Modern AI Engineering skills that software companies and high-growth tech startups are actively seeking.
Placement Focused & Certification
GitHub portfolio preparation, resume optimization, technical interview readiness, and verifiable certification.
Codeneksa Gallery
Explore our intensive hands-on training sessions, promotional campaigns, and real moments capturing our technology ecosystem.
Cinematic Brand Video
Take a complete look at how we deliver unmatched technology value to colleges and universities, elevating student career trajectories.
Dynamic Campus Life
Quick captures of our student workshops, real coding milestones, and campus transformations in vertical portrait format.
Campus Spot 01
Campus Spot 02
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Watch live coding demos, full workshop archives, AI student projects, and expert lectures on our official channel.
Why Choose Codeneksa?
We stand apart through our commitment to practical coding execution, corporate networking structures, and absolute career focus.
AI Engineering Mindset
We move beyond theoretical equations into practical software engineering with modern AI models.
Modern 4-Tier Stack
Comprehensive progression across Generative AI, LLMs, RAG, and Autonomous AI Agents.
Real-World Projects
Build tangible systems: AI Resume Analyzer, College AI Assistant, and AI Placement Agent.
Approachable for All Branches
Engineered specifically for engineering students — approachable even without prior AI background.
Portfolio & GitHub Ready
Every student finishes with verifiable, demonstrable project code ready for placement interviews.
Placement Focused Guidance
Targeted interview drills, resume positioning, and LinkedIn optimization for modern tech roles.
Online + Offline Formats
Flexible delivery: live on-campus immersive workshops or interactive online cohorts.
College Campus Co-Branding
We create cinematic 4K promotional videos showcasing your campus and student engineering achievements.
The 6-Step Student Journey
A structured progressive roadmap taking engineering students from zero AI foundation to building autonomous AI agents and deployable capstones.
UNDERSTAND AI
Explore AI foundations, evolution, and the engineering mindset.
USE AI
Master Generative AI and advanced prompt engineering techniques.
BUILD WITH AI
Integrate LLM APIs, tokens, and build the AI Resume Analyzer.
CONNECT AI TO DATA
Implement RAG, embeddings, and build the College AI Assistant.
BUILD AI AGENTS
Create autonomous agents with tool-calling and the AI Placement Agent.
BUILD A REAL PROJECT
Deliver team capstones, GitHub portfolios, and placement readiness.
Designed for Engineering College Students
Our curriculum is designed to be accessible and highly rewarding for students across all engineering branches. No prior AI or complex mathematics required — we start with clear fundamentals and transition directly into software application development.
Institutional Clarity for Principals, HODs & Placement Officers
Clear, transparent answers to help academic leadership evaluate our 30-Hour AI Engineering Program.
What students learn
Complete modern AI stack: AI Foundations, Generative AI, LLM Application APIs, RAG architecture, and Autonomous AI Agents with tool-calling.
Why it matters
Industry tech hiring is rapidly pivoting. Companies need engineering graduates who can build and deploy with AI, not just write basic code.
What students build
5 tangible portfolio applications including AI Resume Analyzer, College Assistant RAG, AI Placement Agent, and custom Capstone projects.
What skills they gain
API integration, Vector Databases (Pinecone/Chroma), Embeddings, System Prompting, Agent workflows, and GitHub-ready project code.
How it supports careers
Significantly boosts placement readiness, strengthens technical resumes, and prepares students for modern AI developer interview rounds.
Interested in bringing this program to your college campus?
CodeNeksa EdTech Pvt Ltd conducts campus workshops, semester modules, and dedicated placement training batches with flexible scheduling.
Emerging AI Career Roles & Opportunities
The 30-Hour AI Engineering curriculum builds skills aligned directly with modern software positions actively recruiting at tech firms:
AI Engineer
Designs, integrates, and deploys intelligent models into modern software architecture.
Generative AI Engineer
Specializes in multi-modal generative pipelines, fine-tuning, and prompt architectures.
AI Application Developer
Builds web, mobile, and enterprise apps powered by frontier LLM APIs.
LLM Application Developer
Architects token pipelines, context windows, and model parameter integrations.
AI / ML Engineer
Bridges data engineering, feature modeling, and machine learning pipelines.
AI Automation Engineer
Automates complex business workflows and operations through intelligent bots.
AI Agent Engineer
Develops autonomous agents with multi-step reasoning, memory, and tool-calling.
AI Solutions Engineer
Implements enterprise RAG and customized AI systems for corporate clients.
Software Engineer (AI-Enabled)
Core software developer equipped with cutting-edge AI engineering toolkits.
Our Placement Philosophy: We do not make false promises of guaranteed jobs. Instead, our 30-Hour AI Engineering program is strictly focused on building real, practical, portfolio-backed engineering skills and demonstrable projects relevant to AI-enabled software development and modern placement interviews.
Professional Outcomes & Capabilities
Upon completing CodeNeksa's 30-Hour AI Engineering program, students build demonstrable capabilities ready to showcase in technical placement rounds and GitHub repositories.
CodeNeksa EdTech
AI Engineering Certificate of Completion
PROGRAM SPECIFICATION
AI ENGINEERING: GenAI • LLMs • RAG • AI Agents
HOURS COMPLETED
30 HOURS PRACTICAL WORKSHOP & LABSGITHUB REPOSITORIES
5 VERIFIED PROJECTS DEPLOYEDPLACEMENT READINESS
PORTFOLIO-BACKED ENGINEERING PROFILE“Not just theory. Real skills for real opportunities.”
Partner with CodeNeksa EdTech Pvt Ltd and bring Practical AI Engineering to your Campus.
Hands-on Generative AI, LLMs, RAG architectures, and AI Agents with verifiable GitHub projects. Let's make your students pre-placement ready today.