AI Engineer
$120,000–$175,000/yr
Artificial Intelligence Engineer Course
Master end-to-end AI development — from machine learning fundamentals and neural networks to generative AI and production-ready deployment — with live, hands-on training by industry experts.
Have questions about this course?
About This Artificial Intelligence Course
Want to learn more about our AI course curriculum, modules, project training, certification details, and career opportunities? Contact our team today to get the complete course syllabus and personalized guidance based on your learning goals. Whether you are a beginner, working professional, student, or career switcher, our experts will help you understand the course structure, training process, tools covered, live projects, and placement support available for each program.
What You'll Learn
Core AI & ML concepts: supervised, unsupervised, and reinforcement learning
Deep learning with TensorFlow and PyTorch: CNNs, RNNs, Transformers
Natural Language Processing (NLP) and Large Language Models (LLMs)
Computer vision fundamentals: image classification and object detection
Generative AI: working with GPT, DALL-E, and diffusion models
Model evaluation, hyperparameter tuning, and regularization techniques
MLOps: deploying and monitoring AI models in production (Docker, FastAPI, cloud)
Prompt engineering and fine-tuning pre-trained models
Real-world AI project: end-to-end pipeline from data to deployment
Interview preparation and portfolio building for AI engineer roles
Curriculum
This module focuses on introduction to ai & the modern ai landscape and includes guided learning outcomes.
Who This Is For
Software developers, data analysts, IT professionals, and fresh graduates looking to transition into Artificial Intelligence and Machine Learning engineering roles with a strong industry-ready skill set.
Career Outcomes
Machine Learning Engineer
$115,000–$160,000/yr
NLP Engineer
$110,000–$155,000/yr
Deep Learning Engineer
$125,000–$170,000/yr
Student Reviews
See all reviews★★★★★
"The Power BI training at Seasoft was unlike anything I'd tried before. The instructor didn't just teach the tool - he walked us through real business scenarios from his own consulting projects. I went from zero BI knowledge to landing a Sr. Power BI Developer role in under three months."
Suresh R.
Power BI Developer
Dallas, TX
★★★★★
"I was working as a nurse and wanted to pivot into the healthcare IT space. Seasoft's Drug Safety Associate program was exactly what I needed. The curriculum covered pharmacovigilance end-to-end, and the placement team helped me get my first interview within weeks of completing the course."
Meena A.
Drug Safety Associate
Chicago, IL
4.9
★★★★
Based on 174 reviews
5 Star
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4 Star
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3 Star
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Frequently Asked Questions
Have questions before enrolling? Here are quick answers to what learners ask most often.
Basic Python knowledge is helpful but not mandatory. The course begins with Python for AI foundations, making it accessible to those with little to no programming background.
You will work with Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, LangChain, OpenAI APIs, FastAPI, Docker, and cloud platforms like AWS and GCP.
Yes. Dedicated modules cover Generative AI, Large Language Models (GPT, BERT), prompt engineering, RAG pipelines, and LangChain-based application development.
Yes. You will receive a course completion certificate from Seasoft Classes, which you can add to your LinkedIn profile and resume to strengthen your AI Engineer job applications.
Yes. The program includes resume building, mock interviews, GitHub portfolio review, and job application guidance specifically for AI Engineer, ML Engineer, and NLP Engineer roles.
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