Workpreneur Academy

Master the Future of Intelligent Automation

Generative AI, Prompt Engineering, and Agentic AI

Become an expert in Generative AI, prompt engineering, and autonomous AI agents with hands-on projects, real-world applications, and globally recognized certification — designed to launch high-impact AI careers.
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Unlock the power of Generative AI, prompt engineering, and autonomous agents with our expert-led, job-focused program.
Master tools like OpenAI APIs, LangChain, and Pinecone through hands-on projects.
Learn to build generative AI systems, multi-agent workflows, and scalable automation.
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Key Highlights

70+ live interactive session over the course of 6 months

Exclusive access to our Career Portal 

220+ hrs of Live interactive Sessions

Live sessions with NIIT Faculy and Industry Expert

24/7 Support

Industry-Curated Curriculum

50+ Industry level Projects & Assesments

100% Job Assitance*

Course content

Module 1: Foundations for Python, AI, and Data Exploration

  • What is Python?
  • Importance of Python in AI
  • Introduction to Artificial Intelligence Types of AI: Narrow, General, and Agentic
  • Data Types and Structures
  • Ethical Considerations in AI
  • Introduction to Data Exploration Techniques (Basic Visualization)
  • Introduction to SQL (Basic Queries) Overview of Excel for Data Handling

Module 2 :Python Programming and Data Acquisition

  • Python Programming Fundamentals: Variables, Loops, Functions
  • Working with Lists, Dictionaries, and Sets
  • SQL Fundamentals: Basic Queries and Data Manipulation
  • Excel Fundamentals: Data Entry, Formulas, and Functions
  • Advanced Excel: PivotTables, Charts, and Advanced Functions
  • Data Visualization Techniques (Introduction)
  • Data Acquisition Strategies and APIs

Module 3: Advanced Python and AI Foundations

  • Object-Oriented Programming in Python
  • Numerical Computation with NumPy
  • Data Manipulation with Pandas
  • Introduction to Machine Learning Concepts
  • Neural Networks Overview
  • Cloud Computing Basics (AWS, Azure, GCP)
  • Basic Data Visualization with Matplotlib and Seaborn

Module 4: Agentic AI Essentials and Frameworks

  • Introduction to Agentic AI
  • Agentic AI vs. Generative AI vs. Traditional AI
  • Building Blocks of Agentic AI
  • Autonomous Agents and Human-in-the-Loop Systems
  • Single and Multi-Agent Systems
  • Agentic AI Frameworks Overview
  • Ethical and Responsible AI Practices

Module 5: Agentic AI Architectures and Design Patterns

  • Agentic AI Architecture Components
  • Perception, Cognitive, and Action Modules
  • Agentic AI Design Patterns (Reflection, Tool Use, Planning)
  • ReAct and ReWOO Patterns
  • Multi-Agent Collaboration Designs
  • Security and Scalability Considerations

Module 6: LangChain and AI Pipelines

  • LangChain Components: Document Loaders and Text Splitting
  • Embeddings and Vector Databases
  • LangChain Expression Language (LCEL)
  • Building AI Pipelines with LCEL
  • Deployment with Langserve
  • Workflow Automation Basics

Module 7: Building AI Agents with LangGraph

  • LangGraph Fundamentals
  • State and Memory Management
  • State Schema and Reducers
  • Human-in-the-Loop Integration
  • Long-Term Memory Implementation
  • Agent Deployment Strategies

Module 8: Agentic RAG and Phidata Agents

  • Agentic RAG vs. Traditional RAG
  • Agentic RAG Architecture
  • Adaptive RAG Applications
  • Phidata Components: Agents, Tools, Knowledge
  • Vector Databases and Embeddings
  • Developing Agents with Phidata

Module 9: Multi-Agent Systems and Observability

  • Multi-Agent System Concepts
  • Collaborative Workflows with CrewAI
  • LangGraph for Multi-Agent Designs
  • AI Observability with Langfuse and Langsmith
  • Tracing and Evaluation Techniques
  • AgentOps Implementation
  • Deployment and Monitoring Best Practices

Module 10: Cloud-Based Agentic AI Deployment

  • Deploying AI Models with AWS Bedrock
  • Azure OpenAI and GCP Vertex AI
  • Serverless AI Agent Deployment
  • Retrieval-Augmented Generation (RAG)
  • AI Agent Governance on Cloud
  • Scaling AI Solutions

Skills to Master

Python Programming

Data Cleaning and Preprocessing

AI Pipeline Development

Agentic AI Architecture Design

Implementing AI Design Patterns

Building and Deploying AI Agents

Multi-Agent System Development

Agentic RAG Implementation

Cloud-Based AI Deployment

AI Observability and Monitoring

Data Visualization

Communication and Data Storytelling

SQL and Data Exrtractions from Various Databases

Building Visuals from Scratch

Ethical AI Practices

Proficiency in Agentic AI

Tools to master

Master key tools for Agentic AI development, including Python, data manipulation with NumPy and Pandas, and advanced visualization with Matplotlib and Plotly. Learn to build AI pipelines with LangChain, manage agents with LangGraph, and deploy with Docker, while leveraging frameworks like Phidata and CrewAI for advanced agent systems.
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Roles You’ll Be Qualified For

Artifical Intelligence / Machine Learning Engineer

Natural Language Processing (NLP) Engineer 

AI Specialist

AI Product Specialist/Engineer

Recommendation Systems Engineer 

AI Solutions Architect

Machine Learning Operations (MLOps) Engineer 

Prompt Engineer

Career Services

Mock Interview Preparation

Priority Access to Career Services

1 : 1 Career Mentorship

Job Board -- Resume Building

100% Placement Assurance*

Soft-Skill Training

Portfolio Building

Certificate of Completion 

🎓 Certification Sample
Get a glimpse of the professional certificate you’ll receive upon course completion. Issued by Workpreneur Academy, it validates your expertise in AI, Machine Learning, and Data Science, and showcases your skills to employers worldwide.

Testimonials from Industry Leaders

Slide 1 of 4

Joining Workpreneur Academy was the best decision for my AI career. Their Generative AI course is comprehensive, practical, and taught by experts who truly care. The hands-on projects helped me build real AI agents and stand out in the job market.

Priya S

The support and mentorship at Workpreneur Academy are unmatched. Their Agentic AI course gave me the skills and confidence to get promoted and earn a salary hike. The instructors are knowledgeable and always available to help.

Rahul M.

I was impressed by how Workpreneur Academy combines theory with real-world AI applications. The Generative AI course equipped me with cutting-edge skills and a strong portfolio. Thanks to them, I landed my dream AI role!

Karan T

From day one, Workpreneur Academy provided personalized guidance and career support. Their Agentic AI program taught me how to build autonomous AI systems that employers are seeking. The certification truly boosted my career prospects.

Anjali K

Joining Workpreneur Academy was the best decision for my AI career. Their Generative AI course is comprehensive, practical, and taught by experts who truly care. The hands-on projects helped me build real AI agents and stand out in the job market.

Priya S

The support and mentorship at Workpreneur Academy are unmatched. Their Agentic AI course gave me the skills and confidence to get promoted and earn a salary hike. The instructors are knowledgeable and always available to help.

Rahul M.

I was impressed by how Workpreneur Academy combines theory with real-world AI applications. The Generative AI course equipped me with cutting-edge skills and a strong portfolio. Thanks to them, I landed my dream AI role!

Karan T

From day one, Workpreneur Academy provided personalized guidance and career support. Their Agentic AI program taught me how to build autonomous AI systems that employers are seeking. The certification truly boosted my career prospects.

Anjali K

Joining Workpreneur Academy was the best decision for my AI career. Their Generative AI course is comprehensive, practical, and taught by experts who truly care. The hands-on projects helped me build real AI agents and stand out in the job market.

Priya S

The support and mentorship at Workpreneur Academy are unmatched. Their Agentic AI course gave me the skills and confidence to get promoted and earn a salary hike. The instructors are knowledgeable and always available to help.

Rahul M.

I was impressed by how Workpreneur Academy combines theory with real-world AI applications. The Generative AI course equipped me with cutting-edge skills and a strong portfolio. Thanks to them, I landed my dream AI role!

Karan T

From day one, Workpreneur Academy provided personalized guidance and career support. Their Agentic AI program taught me how to build autonomous AI systems that employers are seeking. The certification truly boosted my career prospects.

Anjali K

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Course Queries Answered

What prior experience do I need to join this course?

No advanced experience is required! A basic understanding of Python and AI concepts is helpful, but our course is beginner-friendly and designed to support learners at all levels.

Do I get a certificate after completing the course?

Absolutely. Upon successful completion, you’ll receive a globally recognized certification from Workpreneur Academy, showcasing your expertise in Generative AI and Agentic AI.

What is the structure and duration of the program?

This is an 28-week intensive, step-by-step program. Each week covers a progressive topic, starting from AI and data science foundations to advanced subjects like Generative AI, Reinforcement Learning, and MLOps. It includes real-world projects, collaborative exercises, and case studies. 

What is Agentic AI, and why is it important?

Agentic AI refers to autonomous AI systems capable of reasoning, planning, and executing tasks independently. It's one of the most in-demand and future-facing skills in the AI landscape.

What kind of support is provided during the course?

You’ll have 24/7 support, 1:1 personalized mentorship, Study Material, Recordings  with industry experts like G. Tanuj (Generative AI/ML Engineer), and live sessions for doubt clearing, feedback, and career guidance.