AI Engineer / Machine Learning Engineer
This Eduwik course is a complete, step-by-step career roadmap to become an AI Engineer / Machine Learning Engineer—starting from “What does this career actually look like?” and going all the way to college choices, admissions, skill-building, internships, projects, roles, salaries, and long-term growth.
It’s designed to remove confusion, break the journey into clear stages, and help learners build a realistic plan—whether they’re in school, college, or switching careers.
What You’ll Learn (high-impact outcomes)
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What AI/ML Engineers do day-to-day, and how the industry really works
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Real AI applications across sectors (chatbots, healthcare, finance, manufacturing, etc.)
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Myths vs realities: what you need (and don’t need) to succeed in AI
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Whether this career matches your strengths, interests, and learning style
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What to choose after Class 10/12 (subjects, streams, and best combinations)
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Best degree paths: B.Tech/BSc/BE, specializations, and smart alternatives
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Entrance exams & admissions overview (what matters, what doesn’t, and how to plan)
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How to build skills through projects, internships, open-source, and certifications
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Entry → Mid → Senior roles in AI/ML and how growth typically happens
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Salary ranges (India vs global), remote opportunities, and income progression
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Future trends (GenAI and beyond) + how to stay relevant long-term
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A personal roadmap: what to do in the next 30 days, 6 months, 1 year, and beyond
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This course is a detailed and easy tutorial to get you all setup and going with the use of LearnPress LMS Plugin. It is a free and simple plugin to help you create an Online Courses Website step by step. The tutorial guides you through the configuration of the plugin, creation of Courses, Lessons, Quizzes, and finally guides you on how to boost up your Website with Premium LearnPress Add-ons brought to you by ThimPress (creator of LearnPress). It also shows how you could configure additional items like the course layouts and featured images …
A series of Videos from ThimPress, give you a detailed tutorial to create an LMS Website with LearnPress – LMS & Education WordPress Plugin.
- Structured 8-module roadmap covering school → college → career growth
- Clear guidance on subject selection, degrees, exams, admissions and alternatives
- Practical focus on skills, projects, internships, and portfolios
- Career clarity on roles, growth ladder, salary insights, and long-term trends
- Actionable planning with checklists, templates, and ready-to-use resources
- Class 9–12 students exploring a future-proof, high-growth tech career
- College students (BSc/BA/BCom/BTech) who want a clear AI/ML direction and plan
- Beginners who feel “AI is big” but don’t know where to start
- Career switchers who want to enter AI/ML with a structured roadmap
- Parents/guardians who want to understand the right path and decisions for students
- Curiosity for technology + willingness to learn continuously
- Basic comfort with school-level mathematics
- A laptop/desktop with internet
- No prior AI experience required
- 8 Sections
- 33 Lessons
- 5 Hours
- Discover the CareerEA2C1L1 What does an AI Engineer / ML Engineer do & why it matters today4
- 1.1EA2C1L1 What does an AI Engineer / ML Engineer do & why it matters today
- 1.2EA2C1L2 Industry Overview — Applications from Chatbots to Self-Driving Cars
- 1.3EA2C1L3 Myths vs. Realities — AI beyond Coding and Data Science Buzzwords
- 1.4EA2C1L4 Future Relevance — AI’s Role in Every Industry (2025–2040 Outlook)
- is This Career Right for You?EA2C1L5 Personality Fit — Who Thrives as an AI / ML Engineer3
- Your School & Subject ChoicesEA2C1L8 What to Choose After 10th — Math, Science, and Coding Foundations4
- Entrance Exams & AdmissionsEntrance Exam Overview — JEE, BITSAT, CUET, and Global Equivalents3
- Academic Journey & College Life5
- 5.1EA2C1L16 Year-by-Year Subject Overview — From Programming to Deep Learning
- 5.2EA2C1L16 Year-by-Year Subject Overview — From Programming to Deep Learning
- 5.3EA2C1L17 Key Specializations — Computer Vision, NLP, Robotics, Data Science
- 5.4EA2C1L18 Projects, Labs, and Research — How to Build a Strong Portfolio
- 5.5EA2C1L19 Assessment, Hackathons & AI Competitions (Google AI, Kaggle, etc.)
- Real-World Experience & Skill Development4
- Career Growth, Roles & Income6
- 7.1EA2C1L24 Entry-Level Roles — Data Analyst, ML Intern, AI Research Assistant
- 7.2EA2C1L25 Mid-Level Growth — AI Developer, ML Engineer, Data Scientist
- 7.3EA2C1L26 Entrepreneurship & Startups — Building AI Products & SaaS Solutions
- 7.4EA2C1L27 Senior-Level Paths — AI Architect, Research Scientist, CTO
- 7.5EA2C1L28 Salary Insights — India vs. Global (USD, INR, and Remote Work Trends)
- 7.6EA2C1L29 Career Map — Growth in 5, 10, and 20 Years
- Future Trends & Your Personal Roadmap4
- 8.1EA2C1L30 The Future of AI — Generative AI, AGI, and Responsible AI
- 8.2EA2C1L31 Emerging Specializations — Edge AI, AI Ethics, MLOps, Quantum ML
- 8.3EA2C1L32 Building a 5-Year Action Plan — Learning + Projects + Certifications
- 8.4EA2C1L33 Related & Pivot Careers — Data Engineer, AI Product Manager, Researcher
Reviews
Finally a course that explains the full journey. The modules on college choices, internships, projects, and career growth made it feel realistic and doable. I now have a step-by-step plan for the next 6 months
"Finally a course that explains the full journey. The modules on college choices, internships, projects, and career growth made it feel realistic and doable. I now have a step-by-step plan for the next 6 months."
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“Finally a course that explains the full journey. The modules on college choices, internships, projects, and career growth made it feel realistic and doable. I now have a step-by-step plan for the next 6 months."
— Aarav K., 2nd-year college student
