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IBM AI Engineering Professional

The IBM AI Engineering Professional course equips aspiring AI engineers and data scientists with practical skills in machine learning, deep learning, and generative AI using TensorFlow, PyTorch, and Keras. Designed for professionals seeking hands-on experience, it addresses the growing demand for AI talent, with IBM reporting a 35% annual increase in AI-related job postings. Learners gain proficiency in NLP, computer vision, and LLMs through real-world projects.

This course prepares learners for the IBM AI Engineering Professional Certificate on Coursera. Koenig Solutions offers official vendor-authorized courseware and 30-day lab access, ensuring mastery of cutting-edge AI frameworks. Graduates build a portfolio-ready capstone project, positioning them for roles in high-growth AI sectors.

40 Hours (5 Days)
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1+ professionals trained

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Course Overview

The IBM AI Engineering Professional course by IBM is a comprehensive program designed to equip learners with the skills needed to become proficient AI engineers, preparing them for the IBM AI Engineering Professional Certificate. This certification is ideal for aspiring AI engineers, machine learning engineers, and data scientists seeking to build and deploy advanced AI solutions. According to IBM, demand for AI skills has surged, with over 30% of enterprises now prioritizing AI engineering roles in their digital transformation strategies. The curriculum covers core concepts in machine learning, deep learning, and generative AI, enabling professionals to meet the growing industry demand for practical AI expertise.

Students engage with key technologies including TensorFlow, PyTorch, Keras, Hugging Face, LangChain, and Gradio, gaining hands-on experience through labs conducted in cloud-based environments. Learners build and train deep learning models such as convolutional neural networks, recurrent networks, and autoencoders, and develop generative AI applications using large language models (LLMs) like BERT and GPT. A key project involves constructing a question-answering bot using LangChain and LLMs, where students configure a vector database for document retrieval and deploy a Gradio interface for user interaction. These labs, hosted on IBM’s cloud platform, simulate real-world AI development workflows and emphasize practical implementation.

The IBM AI Engineering Professional course prepares candidates for the IBM AI Engineering Professional Certificate, a credential recognized by leading tech employers for its rigor and applied focus. Certified professionals report average salary increases of up to 25%, with AI engineers commanding median salaries exceeding $120,000 in North America. Koenig Solutions enhances this training with Guaranteed-to-Run scheduling, official IBM courseware, and access to 1-on-1 mentoring, ensuring learners master complex topics like NLP, computer vision, and recommender systems. Graduates are positioned to advance into senior AI roles, driving innovation in generative AI and enterprise machine learning applications.

What You'll Learn

✓Implement machine learning models using SciPy and ScikitLearn within the IBM AI Engineering Professional certificate to automate document classification pipelines.
✓Build deep learning models with Keras and PyTorch to create advanced AI solutions, resulting in a portfolio-ready project demonstrating model architecture design.
✓Deploy neural networks using the TensorFlow framework to reduce inference latency by up to 30% in real-world production environments.
✓Configure vector databases for AI document retrieval to improve search accuracy and retrieval speed in enterprise-scale AI projects.
✓Construct generative AI applications with LangChain to develop innovative content creation tools, culminating in a capstone project that showcases end-to-end application deployment.
✓Design question-answering bots using large language models (LLMs) to automate complex information retrieval tasks and improve user interaction efficiency.

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python programming and Jupyter Notebooks to build and test AI models
  • Solid understanding of core machine learning concepts and experience with libraries like SciPy and Scikit-Learn
  • Knowledge of essential mathematics for AI, including linear algebra and calculus, to develop accurate models
  • Hands-on experience with deep learning frameworks such as Keras, PyTorch, and TensorFlow to create advanced AI solutions
  • Completion of the IBM Data Science Professional Certificate or equivalent experience, demonstrating foundational AI skills
  • Completion of the IBM Applied AI Professional Certificate or similar qualification, confirming readiness for IBM AI Engineering Professional certification
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Certification Exam

Everything you need to know about the IBM AI Engineering Professional certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

0
Day 0– Machine Learning with Python
Master regression and classification algorithms Train models using scikit-learn libraries Execute clustering and dimensionality reduction Evaluate predictive regression models Process complex real-world datasets Automate Python data preprocessing tasks Construct robust supervised learning models Apply advanced unsupervised learning techniques
0
Day 0– Introduction to Deep Learning & Neural Networks
Explain essential neural network fundamentals Design scalable artificial neural networks Train custom neural architectures Optimize Keras activation functions and layers Implement forward and back propagation logic Architect sophisticated deep learning structures Solve real-world problems using deep learning Develop Python-based neural network solutions
0
Day 0– Deep Learning with Keras and TensorFlow
Develop CNNs for image classification Create efficient recurrent neural networks Build autoencoders and GAN architectures Master TensorFlow 2.x and Keras integration Implement transfer learning models in IBM Watson Studio Accelerate model training on GPUs Develop accurate time series forecasting models Create custom Keras layers for flexibility
0
Day 0– Deep Neural Networks with PyTorch
Build neural networks using PyTorch Master tensors and autograd mechanics Train models with advanced optimizers Implement CNNs and RNNs in PyTorch Apply transfer learning for computer vision Manage data loaders and large datasets Evaluate PyTorch model performance metrics Deploy scalable deep learning production models on IBM Cloud
0
Day 0– Generative AI Applications with RAG and LangChain
Load enterprise documents via LangChain Optimize text splitting for RAG pipelines Generate embeddings using IBM watsonx Store embeddings within Chroma DB Configure high-performance vector databases Use advanced LangChain retrieval strategies Build generative AI chatbots using LLMs Deploy Gradio interfaces for LLM applications

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

78%

of IBM AI Engineering Professional certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the IBM AI Engineering Professional certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • AI Engineer
  • Machine Learning Engineer
  • AI Solutions Architect
  • Deep Learning Engineer
  • AI Developer
  • Data Scientist

Companies Hiring

5,000+
IBM Accenture Capgemini Google Microsoft Amazon Deloitte TCS JPMorgan Chase Infosys

and 5,000+ organizations worldwide seeking IBM AI Engineering Professional certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
Verified Reviews
4.9 / 5
Average Rating
95%
Would Recommend
1M+
Professionals Trained
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the IBM AI Engineering Professional training course

Is the certification exam included in the IBM AI Engineering Professional training, and what is the exam fee?
The IBM AI Engineering Professional certification by IBM requires no separate proctored exam. You earn certification by completing all courses and capstone projects on Coursera. There is no extra exam fee; the program uses a Coursera subscription model, typically $59/month or $399/year for Coursera Plus, covering all required course materials.
What training formats are offered by Koenig for the IBM AI Engineering Professional course, and is Guaranteed-to-Run scheduling available?
Koenig delivers the IBM AI Engineering Professional course via live online 1-on-1, instructor-led, and self-paced Flexi formats, with classroom options available. Guaranteed-to-Run (GTR) scheduling ensures public batches proceed as planned regardless of enrollment size, providing you with maximum reliability and scheduling certainty for your professional development.
How long is lab access provided, and what type of lab environment is used for the IBM AI Engineering Professional course?
Lab access for the IBM AI Engineering Professional course lasts 30 days post-training via a cloud-based live sandbox. This real-time, cloud-hosted system mirrors professional AI workflows. It allows hands-on practice with industry-standard tools like TensorFlow, PyTorch, and Keras in a secure, accessible, and high-performance environment.
What is Koenig's rescheduling and cancellation policy for the IBM AI Engineering Professional course?
Koenig permits rescheduling the IBM AI Engineering Professional course without penalty if requested 7 days before the start date. Cancellations within 7 days incur a 15% fee, while cancellations within 24 hours are non-refundable. These terms align with Koenig's standard training policies to ensure consistent service delivery.
What is the exam format, number of questions, passing score, and time limit for the IBM AI Engineering Professional certification?
The IBM AI Engineering Professional certification features no final exam. Assessment is continuous across 6 courses, utilizing quizzes, hands-on labs, and two capstone projects. Grading relies on assignment completion and project rubrics, meaning there is no fixed number of questions, time limit, or passing percentage for a centralized test.
How long is the IBM AI Engineering Professional certification valid, and what is the renewal process?
The IBM AI Engineering Professional certification, issued by IBM via Coursera, does not expire and requires no formal renewal. The digital badge earned remains valid indefinitely. Professionals are encouraged to pursue advanced certifications to stay current with rapidly evolving AI technologies and maintain a competitive edge in the industry.
Does Koenig provide post-training support after completing the IBM AI Engineering Professional course?
Yes, Koenig provides 30 days of post-training support for the IBM AI Engineering Professional course. This includes access to lab environments, session recordings, and 6 hours of free trainer consultation. You also receive a certificate of completion and 6 months of access to course materials to reinforce your learning.
What are the prerequisites or prior experience needed for the IBM AI Engineering Professional course?
The IBM AI Engineering Professional course requires intermediate Python programming skills and a foundational understanding of machine learning. We recommend familiarity with data science libraries like SciPy and ScikitLearn. This background ensures you can effectively master deep learning frameworks such as TensorFlow and PyTorch during the training.
What career opportunities and salary potential does the IBM AI Engineering Professional certification offer?
The IBM AI Engineering Professional certification prepares you for roles like AI Engineer, Machine Learning Engineer, or NLP Developer. Average salaries range from $110,000 to $150,000 in the U.S. market. According to Coursera, 34% of learners report tangible career benefits, including promotions or new job opportunities after completion.
How does Koenig's IBM AI Engineering Professional training compare to self-study via Coursera?
Koenig's IBM AI Engineering Professional training offers structured, instructor-led learning with live labs, Guaranteed-to-Run scheduling, and personalized mentorship. Unlike standard self-study, Koenig provides 30 days of lab access and 6 hours of dedicated trainer support, significantly enhancing your skill retention and practical application of complex AI concepts.

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