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Master Generative AI & Prompt Engineering

Learn how large language models work and how to use them effectively and responsibly — prompting techniques, AI workflows and building simple LLM-powered apps without needing a research background.

Fee$650
Duration7 Weeks (48 hrs)
LevelBeginner
ModeOnline
View Curriculum
Industry Certificate English

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Program Overview

Generative AI & Prompt Engineering

Generative AI & Prompt Engineering is a beginner-level live online course running 7 weeks (48 hrs), priced at $650 USD, taught by instructors in evening and weekend cohorts for learners in the US and Canada, with a certificate of completion.

Learn how large language models work and how to use them effectively and responsibly — prompting techniques, AI workflows and building simple LLM-powered apps without needing a research background. What you will build: a reusable prompt library, an AI research assistant workflow and a simple document Q&A chatbot. Tools and technologies: ChatGPT, Claude, Gemini, OpenAI and Anthropic APIs, LangChain, Python (light), vector search. Format: 48 hours of live, instructor-led online training over about 7 weeks, in evening and weekend cohorts for learners in the US and Canada, with hands-on labs, recorded sessions and mentor support. Career pathways: AI Specialist, Prompt Engineer, AI Product Associate, Automation Analyst. Resume review and interview guidance are available to all learners.

MentorshipLearn from experts
Hands-onBuild real projects
Career ReadyJob-aligned skills

Course Highlights

  • 48 hours of live instructor-led training
  • Hands-on labs and guided mini projects
  • Tools: ChatGPT, Claude, Gemini
  • Certificate of completion
  • Career guidance for US & Canada job market
  • Recorded sessions and mentor support

Minimum Requirements

  • No prior experience required
  • Laptop or desktop with stable internet

Who is this for ?

  • Professionals adopting AI at work
  • Marketers, analysts and PMs using LLMs daily
  • Beginners starting an AI career

Curriculum

Course Curriculum

5 modules · 24 topics0 hours total

  • 1
    Tokens and context windows
  • 2
    model families
  • 3
    strengths and limits
  • 4
    hallucinations

Industry-Recognized
Certification

Upon successful completion, you receive a certificate of completion for the Generative AI & Prompt Engineering program that you can share with employers and add to your LinkedIn profile — a record of the hands-on skills and projects you completed.

  • Verifiable ID: Unique credential link for LinkedIn.
  • Skill Validation: Proof of hands-on project completion.
  • Corporate Branding: CO-branded with your company logo.
MITS Edge Certificate of Completion

Student Reviews

Why learn this online

AI and data science are among the fastest-growing, highest-value skill sets in the technology market. Learning them online, through live instructor-led sessions and hands-on projects, lets you build practical experience with Python, statistics, and machine learning while keeping your current job. Because the field rewards demonstrated ability over credentials, a strong project portfolio built during the course is what employers actually respond to.

Who this is for

  • ✓Analytical professionals who enjoy math and code
  • ✓Analysts wanting to move into modeling and AI
  • ✓Career switchers targeting high-ceiling data roles

Career outcomes

  • Data Scientist
  • Machine Learning Engineer
  • AI Engineer
  • Data Analyst (advanced)

Frequently asked questions

How much does the Generative AI & Prompt Engineering course cost?

The Generative AI & Prompt Engineering course costs $650 (USD) for 7 Weeks (48 hrs) of live, instructor-led online training. The fee covers live classes, recorded sessions, hands-on projects, mentor support and the certificate of completion.

What projects will I build in Generative AI & Prompt Engineering?

You will build a reusable prompt library, an AI research assistant workflow and a simple document Q&A chatbot.

Which tools and technologies does Generative AI & Prompt Engineering cover?

Generative AI & Prompt Engineering covers ChatGPT, Claude, Gemini, OpenAI and Anthropic APIs, LangChain, Python (light), vector search.

Is the Generative AI & Prompt Engineering course online or in person?

The Generative AI & Prompt Engineering program is delivered live and online with instructor-led sessions, so you can join from anywhere in the US, Canada, or beyond. Sessions are interactive and recordings are available for review.

How long is the Generative AI & Prompt Engineering course?

The Generative AI & Prompt Engineering program runs for 7 Weeks (48 hrs). Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.

What level is the Generative AI & Prompt Engineering course — is it suitable for beginners?

The Generative AI & Prompt Engineering program is pitched at a beginner level. It is designed to be accessible to newcomers, starting from fundamentals.

Do I get a certificate after completing Generative AI & Prompt Engineering?

Yes — you receive a verifiable certificate of completion for the Generative AI & Prompt Engineering program, which you can share with employers and add to your LinkedIn profile.

Does the Generative AI & Prompt Engineering course include placement or career support?

Yes. MITS Edge programs include career support — resume reviews, mock interviews, and job-search guidance aligned to the US and Canadian hiring markets.

Do I need any prior experience to join Generative AI & Prompt Engineering?

Recommended prerequisites: No prior experience required; Laptop or desktop with stable internet.

Do I need a math background for AI and data science?

Comfort with basic math helps, but the fundamentals — statistics and the math behind common models — are taught as part of a structured program. What matters most is consistent practice and building real projects.

Is Python required for AI and data science?

Yes, Python is the core language of the field. A good course starts from Python fundamentals and builds up to data libraries and machine learning, so you can start even if you are new to coding.

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