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JOB PROGRAM

AI Engineer Job Program

Transition to AI Engineer role in just 24 weeks — with assured 5 job interviews!!

Transition to AI Engineer role
in just 24 weeks — with assured 5 job interviews!!

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moneyback guarantee

100% Moneyback Guarantee

43%
43%
Average Hike
Average Hike
#1
#1
Skill In Demand
Skill In Demand
$220,000
$220,000
Average Salary Package
Average Salary Package
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Basic Info

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Application closes on:28 Apr 2026
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What is in it for you?

Embark on an immersive journey to become an AI Engineer, mastering cutting-edge technologies like machine learning, deep learning, and generative AI. Guided by industry experts, you'll tackle real-world projects, build robust AI applications, and gain the skills to thrive in this rapidly evolving field. Through hands-on sessions and live classes, you'll develop a strong foundation in Python, data analysis, and advanced AI architectures, preparing you for a fulfilling career as an AI innovator.
Live Classes

Live Classes Live Classes

Instructor-led Live Sessions Instructor-led Live Sessions

Attend 4 weeks of instructor led live classes from top 1% industry experts

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1:1 Career Coach

1:1 Career Coach

1:1 Career Coach for Profile Building

Get personalized career guidance and actionable steps to achieve your career goals with a dedicated career coach.

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1:1 Mentor

1:1 Mentor

1:1 Mentor for 2 Projects

Get personalized 1:1 guidance & hands-on support on projects and certifications to build your career.

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1:1 Recruiter

1:1 Recruiter

1:1 Recruiter for 5 Job Interviews

Dedicated recruiter to identify job opportunities and get you shortlisted for 5 top companies in your domain.

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Flexible Schedule

Flexible Schedule

Flexible Schedule

Choose live classes from different cohorts that fit your availability and get access to 24/7 support.

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International Job Opportunities

International Job Opportunities

International Job Opportunities

Get access to international job opportunities and get hired by top companies across the globe.

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Grab your slot before the offer expires

Discount applicable for next 10 candidates

$4167.00$3125.00
limited time offer25% OFF
EMI Options on MastercardVisa cards$130.00/month

money back guarantee100% Moneyback Guarantee

Grab your slot before the offer expires

Discount applicable for next 10 candidates only.

$4167.00$3125.00
limited time offer25% OFF
$130.00/monthEMI Options on MastercardVisa cards

Reserve your spot today!

1
2

Basic Info

Select Offers

Application closes on:28 Apr 2026
Get instant access of pre-course material!

Full Name*
Email*
WhatsApp Number*
Checkbox EdYoda

Share the program details with me overWhatsappIcon

money back guarantee100% Moneyback Guarantee

Learn from Top 1%

Sr. Managers, VPs, CXOs, Directors & Founders from companies shaping the future.

Industry Experts

Guaranteed 5 Interviews with Top Companies

Unlock assured interview opportunities with top companies through our recruiter network, supported by 1:1 recruiters, mentors, and career coaches to guide you toward success.

Guaranteed Interview

Combo Offers

Additional 35% OFF

Create Your Own Combo

AI Engineer Job Program
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money back guarantee100% Moneyback Guarantee

Available in 4 monthly installments at $781/month

Reserve your spot today!

Full Name*
Email*
WhatsApp Number*
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Top 1% Recruiters - Get interview access to 550+ Companies

Hiring Partners

Curriculum

Duration: 24 weeks
Max Batch Size: 15 pax
Live Sessions Schedule
dateSat - Sun (Weekends Only) timeTiming 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

Modules
1. Data Analysis Fundamentals & NumPy MasteryDownArrow
Sub-topics Covered
  • 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
2. Pandas Fundamentals - Series & DataFramesDownArrow
Sub-topics Covered
3. Data Wrangling & TransformationDownArrow
Sub-topics Covered
4. Advanced Pandas - Time Series & PerformanceDownArrow
Sub-topics Covered
5. Exploratory Data Analysis (EDA) TechniquesDownArrow
Sub-topics Covered
6. Data Visualization with Matplotlib & SeabornDownArrow
Sub-topics Covered
7. Statistical Analysis & Hypothesis TestingDownArrow
Sub-topics Covered
8. Advanced Analytics - Regression & ForecastingDownArrow
Sub-topics Covered
9. Working with Real-World Data SourcesDownArrow
Sub-topics Covered
10. End-to-End Data Analysis Project & ReportingDownArrow
Sub-topics Covered

Job Program Includes

course includes

1:1 Career Coach

course includes

1:1 Project & Certification Mentor

course includes

1:1 Recruiter

course includes

1:1 Profile Building

course includes

LIVE Interactive Sessions

course includes

Quizzes, Assignments & Projects

course includes

Study Materials & Session Recordings

course includes

Verified Certificate

Instructors

Right section image

12+ Years, Ex-Amazon, Startup Founding Team

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Right section image

10+ Years, Tech Leader, Tiger Analytics

Right section image
Right section image

20+ Years, Sr. Engineering Manager, Amazon

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Job Program Includes

course includes

1:1 Career Coach

course includes

1:1 Project & Certification Mentor

course includes

1:1 Recruiter

course includes

1:1 Profile Building

course includes

LIVE Interactive Sessions

course includes

Quizzes, Assignments & Projects

course includes

Study Materials & Session Recordings

course includes

Verified Certificate

Course Pre-requisites

  • pre-requisiteBasic understanding of programming concepts (variables, loops, functions)
  • pre-requisiteFamiliarity with high school-level mathematics (algebra, basic statistics)
  • pre-requisiteA computer with internet access capable of running development tools

Designation & Career Path

  • skillsBuild and train machine learning models for classification, regression, clustering, and NLP tasks using Scikit-learn
  • skillsDevelop deep learning solutions using neural networks, CNNs, RNNs, and transformer architectures with TensorFlow, Keras, and PyTorch
  • skillsImplement Generative AI applications using large language models, prompt engineering, and Retrieval-Augmented Generation (RAG) systems
  • skillsDesign and deploy autonomous AI agents with tool use, memory, and multi-step reasoning capabilities using LangChain
  • skillsAnalyse and visualize complex datasets using Python, Pandas, NumPy, and data visualization libraries
  • skillsDeploy ML models and AI applications to cloud platforms (AWS, Azure) with monitoring, versioning, and containerization using Docker and MLflow
  • skillsBuild end-to-end AI-powered web applications using FastAPI, Flask, and vector databases like Pinecone and Weaviate
  • skillsApply AI/ML across domains including computer vision, natural language processing, time-series forecasting, and recommendation systems

Projects You Will Build

Practical, enterprise-grade projects that reflect real industry challenges

01

Predictive Maintenance System for Industrial Equipment

Build an end-to-end machine learning pipeline to predict equipment failures using sensor data and historical maintenance records. Apply feature engineering, model selection with Scikit-learn, and hyperparameter tuning to optimize predictions. Deploy the model as a REST API using FastAPI and Docker with MLflow for experiment tracking.

02

Generative AI-Powered Content Creation Platform

Create a full-stack web application that leverages large language models and image generation to produce articles, social media posts, and marketing content. Integrate Hugging Face Transformers, LangChain for orchestration, Stable Diffusion for image generation, and a RAG pipeline backed by Pinecone for context-aware responses.

03

Autonomous AI Agent for Research and Decision Support

Design and implement a multi-step AI agent capable of searching the web, querying databases, analyzing data, and synthesizing findings into actionable reports. Utilize LangChain for agent orchestration with tool use and memory, Supabase for data storage, and deploy the solution on AWS with a conversational interface built using FastAPI.

Featured in

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for successfully completing the 'AI Engineer Job Program' course conducted from 10 Nov 2025 to 27 Apr 2026

Add a Industry Recognized
Certificate To Your Resume

Industry Recognized
Certificate

Learn the best from the best

  • Custom Icon 1
    Career Advancements

    Elevate your career with a respected certificate

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    Industry Respect

    Gain credibility in the field

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    Networking

    Connect with experts and peers

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    Opportunities

    Attract exciting job prospects and promotions

Medal
CertificateImageMob

for successfully completing the 'AI Engineer Job Program' course conducted from 10 Nov 2025 to 27 Apr 2026

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Limited time$4167.00
$3125.00
moneyback guarantee

100% Moneyback Guarantee

Limited time offer$4167.00$3125.00
moneyback guarantee

100% Moneyback Guarantee

Looking for help? Here are our most frequently asked questions

1

What is a Job Program?

A Job Program is a rigorous, outcome-driven training designed to help you transition into a targeted role through live classes, 1:1 Customized projects, 1:1 mentorship and job-readiness support. You will get access to dedicated placement manager.

2

Who should enroll in this Job Program?

Professionals aiming for role transition, career acceleration or re-starting their careers—including early-career engineers and working professionals wanting to switch domains.

3

What will I get apart from live classes?

You get hands-on projects, structured assignments, doubt support, interview preparation, and a clear learning roadmap aligned to the job role. 1:1 Mentor for Project building & Certification, 1:1 Interview Preparation Support, 1:1 Placement Manager, 1:1 Profile Building

4

What is the weekly time commitment?

Typically 6–10 hours per week including live sessions and guided self-work. The program is designed to be manageable with a full-time job.

5

Will I get placement assistance?

You receive end‑to‑end job readiness support—resume/LinkedIn review, mock interviews, portfolio guidance and job opportunities.

6

Do I need prior experience?

Basic programming/technical familiarity helps, but the program includes foundations and bridges skill gaps with guided practice.

faq img

What is a Job Program?

A Job Program is a rigorous, outcome-driven training designed to help you transition into a targeted role through live classes, 1:1 Customized projects, 1:1 mentorship and job-readiness support. You will get access to dedicated placement manager.

faq img

Who should enroll in this Job Program?

Professionals aiming for role transition, career acceleration or re-starting their careers—including early-career engineers and working professionals wanting to switch domains.

faq img

What will I get apart from live classes?

You get hands-on projects, structured assignments, doubt support, interview preparation, and a clear learning roadmap aligned to the job role. 1:1 Mentor for Project building & Certification, 1:1 Interview Preparation Support, 1:1 Placement Manager, 1:1 Profile Building

faq img

What is the weekly time commitment?

Typically 6–10 hours per week including live sessions and guided self-work. The program is designed to be manageable with a full-time job.

faq img

Will I get placement assistance?

You receive end‑to‑end job readiness support—resume/LinkedIn review, mock interviews, portfolio guidance and job opportunities.

faq img

Do I need prior experience?

Basic programming/technical familiarity helps, but the program includes foundations and bridges skill gaps with guided practice.

General FAQs

Everything you need to know
What is EdYoda's Job Program?DownArrow
Who should enroll in this Job Program?DownArrow
What will I get apart from live classes?DownArrow
What is the weekly time commitment?DownArrow
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What does a 1:1 Placement Manager do?DownArrow
What does 1:1 Mentor for Project Building & Certification do?DownArrow
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