
CAREER TRACK
Generative AI & Agentic AI CareerTrack
Comprehensive 7 in 1 Program for Career transition to AI roles
100% LIVE Interactive Classes
Comprehensive 7 in 1 Program for Career transition to AI roles

100% LIVE Interactive Classes
Reserve your spot today!
Basic Info
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Application closes on:16 May 2026
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What is in it for you?
100% Live Classes
Instructor-led Live Sessions
Attend 4 weeks of instructor led live classes from the top 1% industry experts
Projects & Case Studies
Projects & Case Studies
Gain hands-on experience with projects and real-world case studies for impactful learning.
Verified Certificate
Verified Certificate
Earn a industry recognized certificate and kick start your career
Session Recordings
Session Recordings
Revisit older chapters anytime with recorded sessions
Flexible Schedule
Flexible Schedule
Choose live classes from different cohorts that fit your availability.
Hands-on Classes
Hands-on Classes
Hands-on classes to enhance your learning experience
100% Moneyback Guarantee
Grab your slot before the offer expires
Reserve your spot today!
Basic Info
Select Offers
Application closes on:16 May 2026
Get instant access of pre-course material!
Talk to Us
We’re here to help! Reach us at:
Learn from Top 1%
Sr. Managers, VPs, CXOs, Directors & Founders from companies shaping the future.

Combo Offers
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100% Moneyback Guarantee
Available in 4 monthly installments at $352/month
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Curriculum
Duration: 24 weeks
Max Batch Size: 15 persons
Live Sessions Schedule
Sat - Sun (Weekends Only)
Timing 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST
- Introduction to Data Analysis: Lifecycle, Tools & Real-World Applications
- NumPy Arrays: Creation, Indexing, Slicing & Broadcasting
- Mathematical Operations & Statistical Functions with NumPy
- Array Manipulation: Reshaping, Stacking, Splitting & Transposing
- Performance Optimization: Vectorization vs Loops
- Hands-on: Financial Data Analysis - Calculate Returns, Moving Averages & Portfolio Statistics
Mentors

20+ Years, Sr. Engineering Manager, Amazon

12+ Years, Ex-Amazon, Startup Founding Team
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Tools Covered
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Pre-requisites
Proficiency in Python programming (functions, classes, data structures)
Basic understanding of machine learning concepts (supervised/unsupervised learning, model training, evaluation)
Familiarity with APIs and working with REST endpoints
Experience with version control (Git) and command-line tools
Outcomes
Build and fine-tune large language models using transformer architectures and modern training techniques
Design and implement Retrieval-Augmented Generation (RAG) pipelines for knowledge-grounded AI applications
Develop autonomous AI agents with multi-step reasoning, tool use, and planning capabilities using LangChain and LlamaIndex
Implement advanced prompt engineering strategies and evaluation frameworks for production-grade LLM systems
Deploy scalable Generative AI applications using containerization, cloud platforms, and MLOps best practices
Build multi-modal generative systems spanning text, image, and code generation
Integrate vector databases and embedding models for semantic search and long-term agent memory
Analyse and monitor AI agent performance using observability tools and iterative improvement workflows
Projects You Will Build
Practical, enterprise-grade projects that reflect real industry challenges
Intelligent Document Processing & Summarization System
Build a RAG-powered document processing pipeline that ingests PDFs, web pages, and structured data, stores embeddings in a vector database, and generates accurate summaries and answers using LLMs. You will implement chunking strategies, retrieval optimization, and a conversational interface for querying documents.
Multi-Tool Autonomous AI Agent
Develop an AI agent capable of autonomous multi-step reasoning, dynamic tool selection, and task execution using LangChain and LlamaIndex. The agent will integrate external APIs, databases, and code execution environments to solve complex, real-world tasks such as research synthesis, data analysis, and workflow automation.
End-to-End GenAI Product Deployment
Design, build, and deploy a production-ready Generative AI application—such as a customer support chatbot or content generation platform—using Docker, MLflow for experiment tracking, and Langfuse for observability. The project covers the full lifecycle from prototyping and fine-tuning to CI/CD deployment and performance monitoring.

for successfully completing the 'Generative AI & Agentic AI CareerTrack' course conducted from 28 Nov 2025 to 15 May 2026
Add a Industry Recognized
Certificate To Your Resume
Industry Recognized
Certificate
Learn the best from the best

Career Advancements
Elevate your career with a respected certificate

Industry Respect
Gain credibility in the field

Networking
Connect with experts and peers

Opportunities
Attract exciting job prospects and promotions


for successfully completing the 'Generative AI & Agentic AI CareerTrack' course conducted from 28 Nov 2025 to 15 May 2026

100% Moneyback Guarantee
Top 1% Recruiters - Get interview access to 550+ Companies

Frequently Asked Questions
Everything you need to know about the course
You should have proficiency in Python programming, a basic understanding of machine learning concepts, and familiarity with APIs and Git. This is an intermediate-to-advanced program and is not designed for absolute beginners in programming.
The curriculum spans deep learning fundamentals, transformer architectures, large language models, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), vector databases, AI agent development with multi-step reasoning and tool use, multi-modal generation, MLOps, and production deployment of GenAI applications.
Plan for approximately 12-15 hours per week over the 24-week duration. This includes live interactive sessions with instructors, self-paced study of course modules, and hands-on project work.
You will build three major industry-relevant projects: an intelligent document processing system using RAG, a multi-tool autonomous AI agent with reasoning and planning capabilities, and a fully deployed GenAI product with monitoring and observability. These projects form a professional portfolio.
Graduates are prepared for high-demand roles such as Generative AI Engineer, AI Agent Developer, AI Product Manager, and AI Research Scientist. The portfolio of production-grade projects and deep expertise in LLMs and AI agents positions you competitively in one of the fastest-growing areas of technology.
You will work extensively with Python, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex, vector databases like Pinecone and Weaviate, Stable Diffusion for image generation, Docker for containerization, MLflow for experiment tracking, and Langfuse for LLM observability and monitoring.
The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.
In this course instructors will use English language for teaching.
Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.
Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.
Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in Generative AI & Agentic AI CareerTrack.
Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.
We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.
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