Gen AI to Agentic AI with Business Projects
This course teaches both Generative AI and Agentic AI. You will first learn Generative AI concepts such as large language models (LLMs), RAG, and vector databases, with hands-on experience using LangChain, ChromaDB, and Streamlit. You’ll build practical projects, including a real estate assistant and an e-commerce chatbot, to apply what you’ve learned. The course then explores Agentic AI and multi-agent systems, focusing on creating AI-driven solutions. Additionally, you'll cover LLM fine-tuning, AI ethics, and responsible AI implementation in business applications.
No Experience
Needed
Start from scratch
and build up
Flexible
Schedule
Learn at your
own pace
Get
Job-Ready
Acquire essential
job skills
/81349/Course_thumbnails/The_Generative_AI_Course.webp)
This course includes:
- 15h:37m:44s on-demand video
- 105 Lectures
- 6 Exercises
- 12 Quizzes
- Access on any Device
- Certificate of completion
No Experience Needed
Start from scratch
and build up
Flexible Schedule
Learn at your
own pace
Get Job-Ready
Acquire essential
job skills
What you'll learn in our course?
-
Introduction to Generative AI and its applications
-
Key concepts of LLMs and RAG (Retrieval Augmented Generation)
-
Building AI applications with LangChain
-
Hands-on experience with ChromaDB for vector databases
-
Creating intelligent agents using Agentic AI architecture
-
Building multi-agent systems for business applications
-
LLM fine-tuning for improved performance
-
Understanding AI ethics and responsible implementation in business
Course Curriculum
105 Lectures | 15h:37m:44s
3:
Introduction to Generative AI and Agentic AI
9 Lectures
-
3.1: What is Generative AI?
Free -
3.2: Traditional AI vs Gen AI
Free -
3.3: What are AI Agents and Agentic AI?
Free -
3.4: Gen AI vs AI Agents vs Agentic AI
Free -
3.5: Real-world Applications for Gen AI & Agentic AI
-
3.6: Steps to Build Gen AI and Agentic Applications
-
3.7: Quiz
-
3.8: Exercise
-
3.9: Chapter Summary
5:
Gen AI: Langchain and Prompting Essentials
11 Lectures
-
5.1: Elements of a Good Prompt
-
5.2: Zero-Shot, One-Shot, and Few-Shot Prompting
-
5.3: LangChain Installation
-
5.4: Groq and Ollama Setup
-
5.5: Calling LLM from Langchain
-
5.6: Prompt Templates & Chains
-
5.7: Output Parser
-
5.8: Build Financial Data Extraction App
-
5.9: Quiz
-
5.10: Exercise
-
5.11: Chapter Summary
8:
Gen AI: Business Project 2 - E-Commerce Chatbot
11 Lectures
-
8.1: Problem Statement
-
8.2: SOW & Technical Architecture
-
8.3: Implement FAQ Handling
-
8.4: Routing using semantic-router
-
8.5: Streamlit UI: FAQ Handling
-
8.6: SQLite Database Setup
-
8.7: Implement Product Handling: SQL Query Generation
-
8.8: Implement Product Handling: Data Comprehension
-
8.9: Streamlit UI: Product Questions Handling
-
8.10: Bonus: Web Scraping
-
8.11: Exercise
13:
Agentic AI: Business Project 3
9 Lectures
-
13.1: Problem Statement & Tech Architecture
Free -
13.2: HR Management System (HRMS) APIs
-
13.3: Seed Data for HRMS
-
13.4: MCP Tools for Employee Management
-
13.5: Google App Password Setup for Emails
-
13.6: MCP Tools for Emails
-
13.7: MCP Prompt to Onboard a New Employee
-
13.8: MCP Tools for Tickets Management
-
13.9: Exercise
18:
Bonus: Transformer Architecture
13 Lectures
-
18.1: Introduction to Transformer Architecture
-
18.2: Word Embeddings
-
18.3: Contextual Embeddings
-
18.4: Overview of Encoder and Decoder
-
18.5: Tokenization, Positional Embeddings
-
18.6: Attention Mechanism
-
18.7: Multi Headed Attention
-
18.8: Decoder
-
18.9: How Transformers are Trained?
-
18.10: Hugging Face: BERT Basics
-
18.11: Hugging Face: Spam Classification Using BERT
-
18.12: Hugging Face: Next Word Prediction Using GPT2
-
18.13: Exercise
What our learners experience
Our content is rated 5.0/5 from 289+ Learners
Sirji,
Greaty course, but this langchain framework keeps chaning, may be its the community edition, the \n\n is gone :-(
Course Instructor/Creator
Get Certified
When You Complete This Course
You receive a ‘Certificate of Completion’ signed and addressed personally by me, your guide and mentor. – Dhaval Patel
Add and share this certificate with your Resume/CV or on your LinkedIn profile.
Frequently Asked Questions
Q.1
I’m not sure if this course is good enough got me to invest some money. What can I do?
We understand that you could get confused before buying a course. To support your buying decision, we have provided all the necessary information and made several videos available for free. However, Codebasics is all about caring for the learner experience - if you think this course is not for you, you can get no questions asked refund based on your course purchase date and course progress. Checkout our course refund policy here - https://codebasics.io/refund-policy
Q.1
What will I learn in this Gen AI to Agentic AI course?
You will learn the key concepts of Generative AI, including large language models (LLMs), RAG, vector databases, and AI agents. You'll also work on hands-on projects like a real estate assistant and e-commerce chatbot, and dive into Agentic AI and multi-agent systems.
Q.2
How will this course help me in my career?
As industries increasingly adopt AI technologies and the wide use of LLMs in our day to day lives, learning Generative AI and Agentic AI gives you a competitive edge. This course prepares you for real-world applications, making you job-ready for roles in AI, machine learning, and business technology.
Q.3
What is different in this course compared to hundreds of courses on the internet and free tutorials on YouTube?
On YouTube and online courses, many times an instructor lacks either real industry experience or teaching skills. This course addresses this issue because it is taught by Dhaval Patel who has industry experience of helping clients with AI projects through his company AtliQ Technologies. He is also a YouTuber with 1 million plus subscribers known for his teaching style. You can check our YouTube channel (codebasics) and read comments in our videos to get an understanding of our teaching quality.
Q.4
Will there be any updates to this course?
Yes, there will be periodical updates to this course which you can enjoy until your course validity period.
Q.5
What is the validity of this course?
This course is valid for a lifetime.
Q.1
Should I know machine learning, deep learning and NLP before taking this course?
Yes, fundamentals of machine learning, deep learning and NLP are important to get the most out of this course. Even if you don’t know them, we have a chapter to cover these foundations (without coding or math details for ML, DL and NLP). If you want to learn ML, DL and NLP foundations in depth with coding and math then we suggest you pursue our AI bootcamp.
Q.2
Who can take this course?
Anyone interested in learning Generative AI and Agentic AI, including concepts like large language models (LLMs), RAG, vector databases, AI Agents, etc., This course is ideal for those who want to build real-world AI applications, such as chatbots and assistants.
Q.3
I have never done programming and belong to a non-technical background. Can I take this course?
No, you need to atleast have knowledge of Python Programming.
Q.1
Will this course guarantee me a job or a promotion?
We believe “job guarantee” is a marketing gimmick ed-tech companies use to increase their sales. Whether a person gets a job or not depends on how well they learn and perform during interviews. It also depends on current job market. Honest, gimmic free teaching is our core value hence we stay away from “job gurantee” but still many of our students have got job by following taking our courses. Please read job success stories on this website to see names of those people.
Q.1
Can I add this course to my resume?
Yes, adding the learnings from this course along with certificate will add weight to you resume.
Q.1
What is the mode of learning?
The sessions are recorded, so it is self-paced. You can use discord server for doubt clearing where our team members will respond to your queries over chat.
Q.2
How can I help if I have a doubt and need support?
You can use our private discord channel for daily chat support & networking. We have dedicated mentors available to help you out with your doubts and queries on discord.
More Courses
/308538/optimized_images/python_course_thumbnail.webp)
Python: Beginner to Advanced For Data Professionals
This project-based learning course will teach Python through hands-on experience with two real-world projects: (1) Data analysis in the hospitality domain and (2) Building an expense tracking system. It is designed for both complete beginners with no prior coding experience and those with some Python knowledge looking to enhance their skills. The course is taught by an industry expert with over 14 years of experience at leading tech companies such as Nvidia and Bloomberg.
/308538/Updated%20Courses%20Thumbnails/Math-_-Stats_Thumbnail_1000.webp)
Math and Statistics For AI, Data Science
Learn the key concepts of Math and Statistics that lay the foundations for a strong data science career. This course is carefully curated to simulate real-time organizational experience to prepare you for the current job market and at the same time provides you with an ultimate learning experience through storytelling and intuitive explanations.
/164231/courses/Machine_Learning_Course.webp)
Master Machine Learning for Data Science & AI: Beginner to Advanced
Learn Machine Learning from an AI entrepreneur with extensive industry experience and a popular YouTube channel (Codebasics) with 1 million subscribers. This course takes you from beginner to advanced levels, providing deep intuition on algorithms, engaging cinematic experiences, end-to-end projects, and hands-on coding practice. Designed for easy understanding, even for high school students, all at an affordable price.
/81349/DL_thumbnail/Thumbnail_Deep_Learning.webp)
Deep Learning: Beginner to Advanced
Deep Learning: Beginners to Advanced is a comprehensive course that covers everything from the fundamentals of neural networks to advanced architectures such as CNNs, RNNs and transformers. Taught by an experienced AI professional, the course emphasizes practical learning through hands-on exercises and real-world projects in PyTorch. By the end, you'll have the skills to confidently build, train, and deploy deep learning models for real-world applications.
/81349/Course_thumbnails/DS_AI_FInal_Thumbnail.webp)
This course includes:
- 15h:37m:44s on-demand videos
- 105 Lectures
- 6 Exercises
- 12 Quizzes
- Access on any Device
- Certificate of completion
Learning knows no limits. Here’s to your journey of seamless learning. Pick your preferred course from the list of paid & free resources.
Quick Link
Log in with Google
Log in with Linkedin