AI Engineering For Developers

What the specialist says

If you’re building a strong tech portfolio, this is a neat course to plug in.

Mahima R Senior Technical Mentor

Become an AI Developer: Master Machine Learning, AI Frameworks, and Real-World Applications to Transform Your Career! DevLustro Academy brings you an advanced AI Engineering program crafted for developers aiming to build intelligent solutions. This course covers machine learning, deep learning, and neural networks through real-world projects. Learners will gain practical experience with industry-standard tools like TensorFlow, PyTorch, and OpenCV. By the end of the program, you will be ready to design, deploy, and optimize AI-powered applications effectively. This course is trusted and selected by top-rated tech giants worldwide for AI-driven innovation.

Our Core Highlights

World Class Instructor
World Class Instructor Mentorship from global experts
1:1 with Industry Expert
1:1 with Industry Expert Personalised coaching tailored to you
Global Hiring Network
Global Hiring Network 400+ hiring partners around the world
Average Salary Hike
Average Salary Hike 55% average hike for our alumni

Course Description

Become an AI Developer: Master Machine Learning, AI Frameworks, and Real-World Applications to Transform Your Career! Elysium Academy brings you an advanced AI Engineering program crafted for developers aiming to build intelligent solutions. This course covers machine learning, deep learning, and neural networks through real-world projects. Learners will gain practical experience with industry-standard tools like TensorFlow, PyTorch, and OpenCV. By the end of the program, you will be ready to design, deploy, and optimize AI-powered applications effectively. This course is trusted and selected by top-rated tech giants worldwide for AI-driven innovation.

AI Engineering For Developers

Digital Marketing Course

Course Details

Globally Recognized AI Certification

Expert-Led Workshops

Fundamentals of AI, ML, and Neural Networks

Implementation of AI algorithms in Python

Hands-on experience with TensorFlow, PyTorch & OpenAI APIs

Building, training, and deploying AI models

AI ethics, bias, and data management principles

Real-time AI project simulations and case studies

AI engineering is one of the fastest-growing fields in technology

Developers with AI skills are highly sought after across industries.

AI is transforming sectors like healthcare, finance, and automation.

AI engineering forms the foundation for robotics and autonomous systems

Course Goals

  • Mastering AI tools boosts career growth and innovation potential.

Future Scope of this Course

  • Industry-Oriented AI Projects
  • Learner-focused and industry-relevant curriculum

Our Career Service

  • Personalized Coordinator Support
  • Continuous Trainer Feedback
  • Trainer Availability After Sessions

Our Training Program Benefits

  • Hands-On Assignments with Real-World Data
  • Challenge-based, hands-on projects.
  • Live, interactive training by DevLustro experts.
  • Curriculum aligned with current industry practices.
  • Portfolio / project support for real-world use.
01Chapter-1 : Introduction to AI Engineering
  • 01.01What is Artificial Intelligence?
  • 01.02AI vs. Machine Learning vs. Deep Learning
  • 01.03Key Applications of AI in Modern Development
  • 01.04AI Lifecycle and Workflow
  • 01.05Tools and Frameworks for AI Engineers (TensorFlow, PyTorch, etc.)
02Chapter-2 : Python for AI
  • 02.01Python Basics for AI and Data Science
  • 02.02Data Structures and Libraries (NumPy, Pandas)
  • 02.03Data Visualization with Matplotlib and Seaborn
  • 02.04Data Cleaning and Preprocessing Techniques
03Chapter 3: Machine Learning Fundamentals
  • 03.01Supervised vs. Unsupervised Learning
  • 03.02Classification and Regression Models
  • 03.03Model Training, Validation & Testing
  • 03.04Feature Engineering and Selection
04Chapter 4: Deep Learning & Neural Networks
  • 04.01Introduction to Neural Networks
  • 04.02Activation Functions and Optimizers
  • 04.03Building Models with Keras and TensorFlow
  • 04.04Convolutional Neural Networks (CNNs)
  • 04.05Recurrent Neural Networks (RNNs) and LSTMs
05Chapter 5: Natural Language Processing (NLP)
  • 05.01Text Preprocessing and Tokenization
  • 05.02Sentiment Analysis
  • 05.03Named Entity Recognition (NER)
  • 05.04Building Chatbots using NLP
06Chapter 6: Computer Vision
  • 06.01Image Processing Basics
  • 06.02Object Detection and Recognition
  • 06.03Face Detection using OpenCV
  • 06.04Image Classification Projects
07Chapter 7: AI Model Deployment
  • 07.01Deploying AI Models with Flask/Django
  • 07.02Using Cloud Platforms (AWS, GCP, Azure)
  • 07.03Model Optimization and Scaling
08Chapter 8: Real-World AI Projects
  • 08.01End-to-End AI Project Implementation
  • 08.02Best Practices in AI Development
  • 08.03Capstone Project Presentation

What is AI Engineering for Developers?

AI Engineering for Developers is a program that teaches developers how to build, deploy, and optimize AI-powered applications using modern frameworks and tools.

Who can enroll in this AI Engineering course?

This course is ideal for software developers, data scientists, and IT professionals who want to master AI technologies like machine learning and deep learning.

What skills will I learn in AI Engineering?

You will learn Python for AI, machine learning algorithms, neural networks, natural language processing (NLP), computer vision, and AI model deployment.

Is coding experience required for this AI course?

Yes, basic knowledge of programming (preferably Python) is recommended, but we provide a crash course on Python essentials for AI.

What are the career opportunities after AI Engineering training?

You can work as an AI Engineer, Machine Learning Engineer, Data Scientist, or Deep Learning Specialist in top tech companies.

Do you provide real-time AI projects?

Yes, this course includes hands-on projects like chatbot creation, image recognition, and predictive analytics.

Is this AI course online or offline?

We offer both online and offline learning modes to suit your convenience.

Will I get a certificate after completing AI Engineering?

Yes, you will receive an industry-recognized AI Engineering for Developers certification.

How long does it take to complete this AI course?

The duration varies from 8 to 12 weeks, depending on the chosen learning schedule.

What tools and frameworks will I learn in this course?

You will gain expertise in TensorFlow, PyTorch, OpenCV, and cloud AI platforms like AWS and Google AI.

How is this AI Engineering course different from other AI courses?

Our course focuses on practical implementation with real-world projects and advanced AI model deployment techniques.

What is the average salary of an AI Engineer?

AI Engineers earn an average salary of ₹6–12 LPA in India, with top professionals earning even higher packages.

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AI Engineering For Developers

Duration: 90 Hours

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AI Engineering For Developers

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