AI Engineer Roadmap
Your Guide to Becoming an AI Expert
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You Know
Python
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- Variables and basic data types
- Loops, and functions
- Error handling and exceptions
- File input/output operations
- Using Python modules and libraries
- Python classes and objects
- Python virtual environments
- Basic debugging techniques in Python
- 9h 15m
Advanced Python
(Pandas & NumPy)
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- Data Manipulation With Pandas
- HPC With Numpy
- Using Pandas For Time Series
- Complex Data Transformations
- Memory Management In Python
- Optimization For Code Performance
- Integrating Python With Databases
- Matplotlib And Seaborn
- Scripting For Automation
- Advanced Error Handling Techniques
- 9h 15m
Github
Watch Now
- Introduction to Git
- Git Setup
- Basic Commands
- Branching and Merging
- Working with Remotes
- Conflict Resolution
- Git Log and History
- Stashing Changes
- Tagging
- Best Practices
- 9h 15m
Data Science
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- Introduction To Statistical Analysis
- Using Python For Data Cleaning
- Machine Learning Algorithms
- Data Visualization Techniques
- Manipulating Datasets Using Pandas
- Using Numpy For Numerical Data
- Data Importing/Exporting With Python
- Exploratory Data Analysis Techniques
- Introduction To Time Series Analysis
- Clustering And Classification Methods
- 9h 15m
Artificial Intelligence
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- Definitions And Scope Of Ai
- Basic Models Of Machine Learning
- Natural Language Processing
- Ethical Considerations In AI
- Ai In Real-World Applications
- Simple Neural Networks
- Problem-Solving With AI
- Introduction To AI Programming Tools
- Basic Computer Vision Techniques
- AI Deployment Challenges
- 9h 15m
Azure Machine Learning Studio
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- Azure Ml Studio
- Navigating The Interface
- Experiments With Data Sets
- Understanding Model Deployment
- Basics, Auto Ml, Ml Ops, Pipeline
- 9h 15m
AI Tools and Prompt Engineering
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- ChatGPT, Gemini, Claude, etc
- Basics of prompting
- AI tools: strengths and use cases
- Create & evaluate prompts
- Basics, Auto Ml, Ml Ops, Pipeline
- 7h 15m
Generative AI for Multimedia Content
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- DALL·E 3 & Midjourney for images
- Luma Labs & RunwayML for AI videos
- Advanced prompts: text + visuals
- Hands-on: Video storyboarding & assets
- 9h 15m
Exclusive AI & ML Projects
Watch Now
- 30 Projects: Solve real-world AI challenges
- Assessments: Test your skills after each module
- MCQs: Reinforce concepts with targeted questions
- Instant Feedback: Get quick insights on your progress
- 9h 15m
Advanced Python
(Pandas & NumPy)
- Data Manipulation With Pandas
- HPC With Numpy
- Using Pandas For Time Series
- Complex Data Transformations
- Memory Management In Python
- Optimization For Code Performance
- Integrating Python With Databases
- Matplotlib And Seaborn
- Scripting For Automation
- Advanced Error Handling Techniques
- 9h 15m
Data Science
Watch Now
- Introduction To Statistical Analysis
- Using Python For Data Cleaning
- Machine Learning Algorithms
- Data Visualization Techniques
- Manipulating Datasets Using Pandas
- Using Numpy For Numerical Data
- Data Importing/Exporting With Python
- Exploratory Data Analysis Techniques
- Introduction To Time Series Analysis
- Clustering And Classification Methods
- 9h 15m
Artificial Intelligence
Watch Now
- Definitions And Scope Of Ai
- Basic Models Of Machine Learning
- Natural Language Processing
- Ethical Considerations In AI
- Ai In Real-World Applications
- Simple Neural Networks
- Problem-Solving With AI
- Introduction To AI Programming Tools
- Basic Computer Vision Techniques
- AI Deployment Challenges
- 9h 15m
Azure Machine Learning Studio
Watch Now
- Azure Ml Studio
- Navigating The Interface
- Experiments With Data Sets
- Understanding Model Deployment
- Basics, Auto Ml, Ml Ops, Pipeline
- 9h 15m
AI Tools and Prompt Engineering
Watch Now
- ChatGPT, Gemini, Claude, etc
- Basics of prompting
- AI tools: strengths and use cases
- Create & evaluate prompts
- Basics, Auto Ml, Ml Ops, Pipeline
- 7h 15m
Generative AI for Multimedia Content
Watch Now
- DALL·E 3 & Midjourney for images
- Luma Labs & RunwayML for AI videos
- Advanced prompts: text + visuals
- Hands-on: Video storyboarding & assets
- 9h 15m
Exclusive AI & ML Projects
Watch Now
- 30 Projects: Solve real-world AI challenges
- Assessments: Test your skills after each module
- MCQs: Reinforce concepts with targeted questions
- Instant Feedback: Get quick insights on your progress
- 9h 15m
Advanced Python
(Pandas & NumPy)
Watch Now
- Data Manipulation With Pandas
- HPC With Numpy
- Using Pandas For Time Series
- Complex Data Transformations
- Memory Management In Python
- Optimization For Code Performance
- Integrating Python With Databases
- Matplotlib And Seaborn
- Scripting For Automation
- Advanced Error Handling Techniques
- 9h 15m
Artificial Intelligence
Watch Now
- Definitions And Scope Of Ai
- Basic Models Of Machine Learning
- Natural Language Processing
- Ethical Considerations In AI
- Ai In Real-World Applications
- Simple Neural Networks
- Problem-Solving With AI
- Introduction To AI Programming Tools
- Basic Computer Vision Techniques
- AI Deployment Challenges
- 9h 15m
Azure Machine Learning Studio
Watch Now
- Azure Ml Studio
- Navigating The Interface
- Experiments With Data Sets
- Understanding Model Deployment
- Basics, Auto Ml, Ml Ops, Pipeline
- 9h 15m
AI Tools and Prompt Engineering
Watch Now
- ChatGPT, Gemini, Claude, etc
- Basics of prompting
- AI tools: strengths and use cases
- Create & evaluate prompts
- Basics, Auto Ml, Ml Ops, Pipeline
- 7h 15m
Generative AI for Multimedia Content
Watch Now
- DALL·E 3 & Midjourney for images
- Luma Labs & RunwayML for AI videos
- Advanced prompts: text + visuals
- Hands-on: Video storyboarding & assets
- 9h 15m
Exclusive AI & ML Projects
Watch Now
- 30 Projects: Solve real-world AI challenges
- Assessments: Test your skills after each module
- MCQs: Reinforce concepts with targeted questions
- Instant Feedback: Get quick insights on your progress
- 9h 15m
AI Engineer Level Achieved!
AI Engineer
Average Salary
$1,41,757 year
Concept BASED Learning
Frequently Asked Questions
The AI Engineer Roadmap is a comprehensive, step-by-step learning path designed to help professionals and beginners master artificial intelligence (AI) and machine learning (ML). This program covers foundational AI concepts, advanced technologies, and hands-on projects to ensure real-world applicability.
The AI Engineer Roadmap is ideal for software developers, data scientists, engineers, managers, students, and professionals in industries like finance, HR, and logistics. It’s perfect for anyone looking to upskill or transition into AI and ML roles. If you’re worried AI might replace your job, this program is for you.
No advanced expertise is required—just a basic understanding of programming (Python preferred). The AI Engineer Roadmap starts from scratch, covering fundamental programming concepts and progressing to advanced AI and ML topics with practical, hands-on training.
You'll learn Python programming, data analysis with Pandas and NumPy, machine learning algorithms, AI applications, and ethical AI practices. The roadmap also includes hands-on projects to build your portfolio and prepare you for real-world AI roles.
You can complete the roadmap in 3 to 5 months, depending on your learning pace and prior experience. The program is flexible, allowing you to balance it with work or studies.
Yes! The AI Engineer Roadmap includes real-world AI projects that enhance your practical skills. These projects are designed to help you build a strong AI portfolio, essential for job readiness.
You’ll receive personalized mentorship from industry experts, technical support for projects, and access to a community of peers. Weekly technical calls ensure you stay on track and get real-time feedback.
The roadmap is 100% online and includes live interactive lectures, on-demand video tutorials, workshops, and reading materials. You can learn at your own pace or join scheduled sessions for a more structured experience.
Upon successful completion, you’ll receive an industry-recognized certification from BotCampus AI. This certification validates your AI and ML skills and boosts your professional credibility.
Signing up is easy! Visit the AI Engineer Roadmap enrollment page, select your plan, and follow the registration steps. Embark on your journey to become an AI Engineer today!
