AI IS NOT TAKING JOBS. IT IS REWARDING THOSE WHO LEARN IT.

Are You a Graduate Still Searching for the Right Opportunity?

You completed your degree.

You attended interviews.

You uploaded your resume on multiple job portals.

You keep hearing the same things:

❌ "You don't have experience."

❌ "You don't have the required skills."

❌ "We'll get back to you."

Meanwhile, Artificial Intelligence is transforming industries faster than ever before.

Companies are no longer looking only for degree holders.

They are looking for professionals who can:

✔ Work with AI tools

✔ Analyze data

✔ Automate processes

✔ Build intelligent applications

✔ Solve business problems using technology

The good news?

You don't need years of experience to get started.

You need the right skills.

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The AI Revolution Has Already Begun

Today, organizations across the world are hiring for roles such as:

• AI Software Developer

• AI/ML Intern

• Data Analyst

• Prompt Engineer

• AI Research Associate

• NLP Engineer

• AI Automation Engineer

• Python Developer

• Generative AI Specialist

The demand is growing every month.

The question is:

Will you be a spectator or a participant?

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Introducing the AI Engineering & Generative AI Professional Program

A comprehensive 30-Day Career Transformation Program designed to help freshers and job seekers become industry-ready AI professionals.

This is not another theory-based course.

This is a practical, project-driven, placement-focused program.

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What Will You Learn?

Week 1: Build Your Foundation

Learn Python from scratch.

You will master:

• Variables

• Data Types

• Loops

• Functions

• OOP Concepts

• File Handling

By the end of Week 1, you'll be writing programs and building mini applications confidently.

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Week 2: Learn Data Analytics Like Industry Professionals

Data is the fuel of Artificial Intelligence.

You'll learn:

• NumPy

• Pandas

• SQL

• Data Visualization

• Exploratory Data Analysis

And work on real datasets used in businesses.

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Week 3: Enter the World of Machine Learning

This is where machines learn patterns and make predictions.

You will build projects like:

• Salary Prediction

• Customer Churn Prediction

• Customer Segmentation

• Predictive Analytics Models

These are exactly the types of projects recruiters love to see on resumes.

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Week 4: Learn Generative AI, ChatGPT, and Large Language Models

Understand the technologies behind:

• ChatGPT

• Gemini

• Claude

• GPT Models

• BERT

• Transformers

You'll learn:

• Prompt Engineering

• NLP

• Embeddings

• Semantic Search

• AI Content Generation

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ATHENA EDGE GLOBALS In Association with Compass Clock Consultancy offers this trending technology training program to becom job ready.
Day	Modules	Topic	Sub Topics	Hands-on Lab / Activity	Job Skills Covered
Day 1	MODULE 1 – PYTHON PROGRAMMING FOR AI	AI Industry Overview & Environment Setup	AI Career Paths, AI/ML Ecosystem, Generative AI Overview, AI Engineering Roadmap	Install Python, VS Code, Jupyter Notebook, GitHub Setup	AI Awareness, Development Environment Setup
Day 2		Python Fundamentals	Variables, Data Types, Operators, User Input, Conditional Statements	20 Programming Exercises	Programming Logic, Problem Solving
Day 3		Python Programming Essentials	Loops, Functions, Lists, Tuples, Dictionaries, String Manipulation	Mini Coding Challenges	Python Development
Day 4		Object Oriented Programming (OOP)	Classes, Objects, Constructors, Inheritance, Polymorphism	Employee Management System	Software Development Fundamentals
Day 5		File Handling & Exception Management	File Operations, CSV Files, Error Handling, Modules, Packages	CSV Data Processing Project	Data Processing, Backend Programming
Day 6	MODULE 2 – DATA ANALYTICS FOR AI	NumPy for Data Science	Arrays, Matrix Operations, Mathematical Functions	Data Manipulation Exercises	Data Engineering Basics
Day 7		Pandas Fundamentals	DataFrames, Data Cleaning, Missing Values, Filtering	Employee Dataset Analysis	Data Cleaning & Preprocessing
Day 8		Data Visualization	Matplotlib, Seaborn, Business Visualization	Dashboard Creation	Data Analytics
Day 9		SQL for AI Applications	SELECT, WHERE, GROUP BY, JOINS, Aggregations	Database Query Project	Database Management
Day 10		Exploratory Data Analysis (EDA)	Feature Engineering, Outlier Detection, Data Preparation	Customer Analytics Project	Analytical Thinking, Data Preparation
Day 11	MODULE 3 – MACHINE LEARNING ENGINEERING	Machine Learning Foundations	Supervised Learning, Unsupervised Learning, ML Workflow	ML Workflow Demonstration	Machine Learning Concepts
Day 12		Regression Models	Linear Regression, Multiple Regression, Model Training	Salary Prediction Project	Predictive Analytics
Day 13		Classification Models	Logistic Regression, Decision Trees, Random Forest	Customer Churn Prediction	ML Model Development
Day 14		Clustering & Recommendation Systems	K-Means Clustering, Recommendation Concepts	Customer Segmentation Project	Data Science Applications
Day 15		Model Evaluation & Optimization	Accuracy, Precision, Recall, F1 Score, Hyperparameter Tuning	Predictive Analytics Project	Model Evaluation
Day 16	MODULE 4 – NLP & GENERATIVE AI	Natural Language Processing (NLP)	Text Cleaning, Tokenization, Stemming, Lemmatization	Text Processing Project	NLP Fundamentals
Day 17		Embeddings & Semantic Search	TF-IDF, Word2Vec, Vector Representations	Document Search Engine	Information Retrieval
Day 18		Transformers & LLMs	BERT, GPT, Transformer Architecture, Attention Mechanism	LLM Architecture Study	Large Language Models
Day 19		Prompt Engineering	Zero-shot, Few-shot, Chain-of-Thought Prompting	Prompt Library Development	Prompt Engineering
Day 20		LLM API Integration	OpenAI API, Gemini API, Claude API	AI Content Generator Project	Generative AI Development
Day 21	MODULE 5 – RAG APPLICATION DEVELOPMENT	Introduction to RAG	Embeddings, Retrieval Systems, Semantic Search	RAG Architecture Exercise	RAG Fundamentals
Day 22		LangChain & Vector Databases	LangChain, ChromaDB, FAISS	Vector Database Implementation	LLM Application Development
Day 23		Knowledge Base Creation	Document Processing, Chunking, Embeddings	Enterprise Knowledge Base	Knowledge Engineering
Day 24		RAG Chatbot Development	Query Engine, Response Generation	Company Knowledge Chatbot	Chatbot Development
Day 25	MODULE 6 – AI AGENTS & AUTOMATION	AI Agent Fundamentals	Agent Architecture, Planning, Tool Usage	AI Agent Workflow Design	AI Agent Development
Day 26		Multi-Agent Systems	CrewAI, AutoGen, Agent Collaboration	Multi-Agent Assistant Project	Advanced AI Systems
Day 27		AI Automation	Workflow Automation, AI Assistants, Business Automation	Personal AI Assistant Project	AI Automation Engineering
Day 28	MODULE 7 – DEPLOYMENT & PLACEMENT READINESS	API Development & Integration	FastAPI, REST APIs, Backend Integration	Build AI API	Backend Development
Day 29		Cloud Deployment	Streamlit, Hugging Face Spaces, Deployment Strategies	Deploy AI Application	MLOps & Deployment
Day 30		Career Readiness & Placement Preparation	Resume Building, GitHub Portfolio, LinkedIn Optimization, Mock Interviews	Portfolio Review & Mock Interview	Placement Readiness

Build Real AI Applications

Move beyond theory and create:

AI Chatbots

RAG Applications

Enterprise Knowledge Bases

AI Assistants

AI Agents

Multi-Agent Systems

These are the technologies used by modern AI startups and global enterprises.

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Learn What Companies Are Actually Hiring For

This program is carefully aligned with current industry requirements.

You'll gain hands-on exposure to:

✔ Python Programming

✔ Machine Learning

✔ NLP

✔ LLMs

✔ RAG Pipelines

✔ AI Agents

✔ APIs

✔ Cloud Deployment

✔ GitHub Portfolio Building

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Create a Portfolio That Makes Recruiters Notice You

Every participant will build:

Capstone Project

A real-world AI solution that demonstrates your skills.

GitHub Portfolio

Showcase your code and projects professionally.

LinkedIn Profile

Create a recruiter-friendly professional presence.

Resume

Designed specifically for AI and technology careers.

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Placement Readiness Is Built Into The Program

Many students learn technical skills but struggle during interviews.

That's why we cover:

• Resume Development

• LinkedIn Optimization

• Mock Interviews

• Technical Interview Preparation

• HR Interview Preparation

• Career Guidance

Follow us for more such Indian & International Job posts: https://whatsapp.com/channel/0029Vb6V9i18aKvQRFVE4i24

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No Prior AI Knowledge? No Problem.

You only need:

✔ Basic Computer Knowledge

✔ Willingness to Learn

✔ Curiosity About Technology

✔ Commitment to Practice

Whether you are:

• Engineering Graduate

• Arts & Science Graduate

• MCA Student

• Job Seeker

• Career Switcher

This program can help you build a future-ready skillset.

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Imagine Where You Could Be 30 Days From Now

Instead of saying:

"I am looking for a job."

You could be saying:

"I have built AI applications."

"I have deployed my own AI project."

"I have a GitHub portfolio."

"I am attending AI interviews."

"I am ready for the future."

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The Future Belongs to Those Who Learn Faster

Artificial Intelligence is not a trend.

It is the next industrial revolution.

The opportunity is here.

The tools are available.

The demand is growing.

The only question left is:

Are You Ready to Transform Your Career?

Learn AI.

Build Projects.

Create Opportunities.

Get Industry Ready.

Your journey from Job Seeker to AI Professional starts today.

Reach out to the best training & Internship company training@compassclock.in and for excellent and achieving your dream jobs and better placement in India & abroad reach out to Compass Clock Consultancy at jobs@compassclock.in or WhatsApp