Program Highlights
In a world shaped by automation and intelligent systems, building a strong foundation in AI is the first step toward future-ready skills. InfosecTrain’s AI Engineering Foundations Training gives complete beginners a clear, confidence-building path into the world of artificial intelligence. Learners explore core AI concepts, develop essential Python skills, work with real datasets, and build their first machine learning model, all through guided, practical, and easy-to-follow learning. This beginner-friendly AI engineering course empowers learners to understand how AI works, solve problems with data, and complete a mini project that demonstrates real-world application.
18 Hours LIVE Instructor-led Training 
Hands-on Exercises 
Real-world Applications 
Practical Frameworks 
Case Studies 
Mini AI Project 
Career Guidance & Mentorship 
Dedicated Telegram Support Group 
Access to Recorded Sessions
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InfosecTrain’s AI Engineering Foundations Training is designed for absolute newcomers with zero coding or technical background. This course will build a strong understanding of AI, Machine Learning, Deep Learning, and Generative AI while developing essential Python skills needed for real-world AI tasks. Learners will work with real datasets, explore AI workflows, and understand how models are trained, tested, and used in everyday applications. The program will conclude with a guided mini AI project, helping learners confidently apply their new skills and begin their journey into AI engineering.
- Module 1: Understanding AI & the Role of an AI Engineer
- Understand what AI truly is and how it influences everyday life.
- Explore the differences between AI, Machine Learning, Deep Learning, and Generative AI in simple terms.
- Learn the AI solution lifecycle, from gathering data to deploying models.
- Compare the roles of AI Engineer, Data Scientist, and ML Engineer to understand career paths.
- Module 2: Python & Logic for AI
- Gain hands-on experience with Python fundamentals: variables, data types, loops, and conditionals.
- Use Google Colab to write and run Python code without any software installation.
- Develop problem-solving and logical thinking skills through AI-themed mini-programs, like a simple
chatbot or number predictor. - Build confidence in coding by seeing their scripts work immediately.
- Module 3: Working with Data
- Understand different types of datasets (CSV, Excel) and how AI uses data.
- Learn to load, explore, and clean datasets using Pandas.
- Visualize data with charts (bar, line, scatter) to identify patterns and trends.
- Apply these skills to analyze simple datasets like movie ratings or weather statistics.
- Module 4: Building Your First AI Models
- Learn the concepts of training and testing datasets and why they are important.
- Understand supervised, unsupervised, and reinforcement learning approaches.
- Build a basic machine learning model using scikit-learn and evaluate its performance.
- Experiment with pre-built AI tools such as ChatGPT or Google Teachable Machine to create AI-driven
solutions without heavy coding.
- Module 5: Mini Project & Wrap-Up
- Understand the problem and dataset
- Load and explore data
- Clean and preprocess data for modeling
- Build and train a machine learning model
- Evaluate results and visualize key insights
- Document the process, challenges, and lessons learned
This training is ideal for:
- Absolute beginners with no coding, programming, or technical background.
- Basic computer skills (using a web browser, Excel, or Google Sheets).
- Curiosity and willingness to learn—no coding or AI experience required.
Upon successful completion of the training, participants will be able to:
- Grasp fundamental AI concepts and understand their real-world impact.
- Have a clear understanding of AI, Machine Learning, Deep Learning, and Generative AI.
- Learn the Python programming basics needed to create AI-driven solutions.
- Explore, clean, and visualize real datasets to uncover insights.
- Understand how AI models are trained, tested, and deployed.
- Complete a hands-on mini AI project, applying theory to practice.
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Success
Words Have Power
It was a very good experience with the team. The class was clear and understandable, and it benefited me in learning all the concepts and gaining valuable knowledge.
I loved the overall training! Trainer is very knowledgeable, had clear understanding of all the topics covered. Loved the way he pays attention to details.
I had a great experience with the team. The training advisor was very supportive, and the trainer explained the concepts clearly and effectively. The program was well-structured and has definitely enhanced my skills in AI. Thank you for a wonderful learning experience.
The class was really good. The instructor gave us confidence and delivered the content in an impactful and easy-to-understand manner.
The program helped me understand several areas I was unfamiliar with. The instructor was exceptionally skilled and confident in delivering content.
The program was well-structured and easy to follow. The instructor’s use of real-life AI examples made it easier to connect with and understand the concepts.
Success Speaks Volumes
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Frequently Asked Questions
What is the AI Engineering Foundations training offered by InfosecTrain?
The AI Engineering Foundations training is designed to teach the core concepts, tools, and techniques needed to work with modern AI systems. It covers AI fundamentals, model development basics, pipelines, workflows, and practical implementation skills through hands-on learning.
Who should enroll in the AI Engineering Foundations online course?
This course is ideal for beginners, students, early-career professionals, and anyone looking to start an AI engineering learning path. It is also suitable for working professionals seeking structured AI fundamentals training.
What skills will I learn in the AI Engineering Foundations program?
You will learn essential AI model development, data handling, pipeline creation, workflow understanding, prompt basics, evaluation methods, and core practical AI skills training needed for real-world implementation.
Does this AI engineering course include hands-on projects and practical exercises?
Yes. The program includes guided labs, exercises, and mini-projects that help learners understand AI workflows and apply theoretical concepts practically.
What are the prerequisites for joining the AI Engineering Foundations training?
There are no strict prerequisites. Basic computer knowledge is enough. The course is beginner-friendly and well-suited for learners exploring AI engineering for beginners.
How does this AI fundamentals course help beginners start a career in AI engineering?
It builds a strong conceptual base in AI, teaches foundational tools and workflows, and introduces structured AI problem-solving, making it an ideal starting point for an AI engineering career.
What topics are covered in the AI model development and workflow modules?
Core topics include data preprocessing, model basics, evaluation methods, AI pipelines, workflow automation, and understanding how AI systems integrate into real-world applications.
How is the InfosecTrain AI Engineering Foundations course delivered online?
The training is conducted through interactive online sessions led by certified instructors, with hands-on practice and access to structured study resources.
Does the AI engineering training include real-world AI implementation examples?
Yes. The course explains how AI pipelines and workflows operate in real projects, using relatable real-world examples and case-based discussions.
Is the AI Engineering Foundations course suitable for non-technical learners?
Yes. The course is structured to support non-technical learners by starting from foundational concepts before moving to applied topics.
How does this AI training improve my understanding of AI pipelines and data workflows?
You will learn how data flows through an AI system, how models are built and evaluated, and how workflows are managed end-to-end, key skills for any AI engineer.
Will I receive a course completion certificate from InfosecTrain?
Yes. After finishing the program, you will receive a certificate of completion issued by InfosecTrain.
What career opportunities can this AI engineering foundations course support?
The course supports entry-level roles such as AI engineering intern, data assistant, AI operations support, junior workflow engineer, and other foundational AI roles.
Does the AI Engineering Foundations program cover AI best practices and industry standards?
Yes. The curriculum includes essential industry practices related to model building, pipeline management, and workflow optimization.
Is there instructor support available during the AI engineering online training?
Absolutely. Learners receive full instructor support, Q&A sessions, and guidance throughout the training.
What makes InfosecTrain’s AI Engineering Foundations course different from other AI programs?
It combines structured theory, hands-on labs, real-world workflow examples, and a beginner-friendly approach, making it one of the most practical AI engineering course online options.
How can I enroll in the AI Engineering Foundations training by InfosecTrain?
Enrollment can be completed through InfosecTrain’s registration channels or assistance from their training support team.
