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Course Details

Advanced Certification in Agentic AI Engineering

(254 reviews)
course-meta
Created by
Admin

Total Enrolled

5,420

Last Update

23 July 2026

Description

Our Artificial Intelligence (AI) Course equips you with the knowledge and practical skills needed to excel in today's AI-driven world. Learn Machine Learning, Deep Learning, Generative AI, Natural Language Processing (NLP), Computer Vision, and Python through expert-led training and hands-on projects. Gain experience with industry-standard tools and real-world applications to solve business challenges effectively. Whether you're a student, IT professional, or entrepreneur, this course helps you build job-ready AI skills and earn an industry-recognized certification. Start your journey toward becoming an AI Engineer, Data Scientist, or Machine Learning professional with confidence.

   

Developed by industry practitioners, this course helps you:

  • Master the fundamentals of Agentic AI, autonomous agents, and multi-agent systems.
  • Build intelligent AI agents using Large Language Models (LLMs) and Generative AI frameworks.
  • Design AI workflows with tools such as LangChain, LangGraph, AutoGen, CrewAI, and MCP.
  • Implement Retrieval-Augmented Generation (RAG), vector databases, and AI memory systems.
  • Learn prompt engineering, tool calling, function execution, and agent orchestration.
  • Integrate AI agents with APIs, databases, cloud services, and enterprise applications.
  • Develop real-world AI assistants, autonomous workflows, and business automation solutions.
  • Understand AI security, governance, ethics, and responsible AI development.
  • Work on hands-on industry projects guided by experienced AI practitioners.
  • Earn an industry-recognized certification and prepare for high-demand Agentic AI Engineering careers.
  • Reinforcement learning upper confidence bound Thompson sampling
  • Model Selection & Boosting fold cross validation parameter
  • Use Machine Learning for personal purpose of machine

Requirements

  • • High School Mathematics Level
  • • Basic Python Knowledge Required
  • • Broadband Internet

Curriculum

  • 15 lectures • 2h 29m 12s total length

AI Architecture Design

5:30

LLM fine-tuning & RAG

7:30

MCP Integration

3:30

AI Observability and Ops

8:30

Data Manipulation Tools

6:30

Importing the libraries

8:30

Importing the libraries

3:30

Importing the libraries

5:30

Importing the libraries

7:30

Importing the libraries

2:30

Importing the libraries

4:30

Importing the libraries

6:30

Importing the libraries

8:30

instructors

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David Allberto
Data Scientist, BDevs Ltd.
4.7 (54 reviews)

Professionally, I come from the Data Science consulting space with experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and since starting on Udemy I have passed on my knowledge to spread around the world

Student Feedback

4.7

5785 Rating
98%
78%
55%
60%
10%

Reviews

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Sotapdi Kunda
55 min ago

Very clean and organized with easy to follow tutorials, Exercises, and solutions. This course does start from the beginning with very little knowledge and gives a great overview of common tools used for data science and progresses into more complex concepts and ideas.

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Samantha
45 min ago

The course is good at explaining very basic intuition of the concepts. It will get you scratching the surface so to say. where this course is unique is the implementation methods are so well defined Thank you to the team !.

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Michell Mariya
30 min ago

This course is amazing..! I started this course as a beginner and learnt a lot. Instructors are great. Query handling can be improved.Overall very happy with the course.

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Overall ratings
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$ 450.00
  • Level
    Beginners
  • Lectures
    8 Lectures
  • Duration
    1h 30m 12s
  • Category
    Artificial Intelligence (AI)
  • Laguage
    English
  • Certificate
    Yes
  • Recourse
    5 Downloadable Files